Machine Learning Week Speakers

June 19-24, 2022 l Caesars Palace, Las Vegas

PAW Business

Dean Abbott
Dean Abbott

Chief Data Scientist

Dean Abbott is Chief Data Scientist at Wunderkind. Mr. Abbott is an internationally recognized expert and innovator in data science and predictive analytics, with three decades of experience solving problems in customer analytics, fraud detection, risk modeling, text mining, survey analysis, and many more. He is frequently included in lists of pioneering and influential data scientists.Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and coauthor of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a popular keynote speaker and workshop instructor at conferences worldwide and serves on advisory boards for the UC/Irvine Predictive Analytics and UCSD Data Science Certificate programs.He holds a bachelor's degree in computational mathematics from Rensselaer Poly


Rohit Agarwal
Rohit Agarwal

Chief Data Officer

Rohit works as a  Chief Data Officer at Mobisy Technologies, where he leads a team of Data Scientists & Software Engineers, focusing on retail analytics by applying state of the art ML & Deep Learning techniques. His analysis is published in all the leading financial publications in India every month. Prior to that he spent 11 years in GE working on some of the most challenging data problems for Healthcare & Life sciences.

Rohit has been an active Manning Publication Reviewer and reviewed multiple books & live projects related to Deep Learning & NLP. He has spoken in multiple international conferences including Predictive Analytics conference, Munich (2019,2020). Rohit has a Masters degree in Information Technology  & Bachelors degree in Computer Science

Johnathan Azaria
Johnathan Azaria

Data Scientist Tech Lead

Experienced Data Scientist and Tech Lead at Imperva's threat research group where I work on creating machine learning algorithms to help protect our customers against web app and DDoS attacks. Before joining Imperva, I obtained a B.Sc and M.Sc in Bioinformatics from Bar Ilan University.

Johnathan Azaria is speaking in the following session:

Vladimir Barash
Vladimir Barash

Chief Scientist

Vladimir Barash is Director Graphika Labs. He has received his Ph.D. from Cornell University, where he studied Information Science and wrote his thesis on the flow of rumors and virally marketed products through social networks. At Graphika, Vladimir's research focuses on deep learning applications of network analysis, detection and deterrence of disinformation operations on networks, and causal mechanisms of large-scale social behavior.

In addition to his research duties, Vladimir has a decade's experience working with big data, from scientific computing (Matlab, scipy) to parallel processing technologies (Hadoop / Hive) to data storage and pipelining (Redis, mongodb, MYSQL) at the terabyte scale. At Graphika, Vladimir has co-designed and implemented systems that process tens of millions every six hours to deliver timely information on influencers and conversation leaders in online communities tailored to client interests. Vladimir is proficient in over a dozen programming languages and frameworks and has designed production-ready systems for every stage of big data analysis, from collection to client-facing presentation via web, spreadsheet or graphic visualization.

Vladimir has been active in the Social Media Research Foundation (SMRF) and the NodeXL project, helping build a network analysis package that brings relational data analysis at scale to the fingertips of any interested user, without requiring specialized knowledge or technical training beyond familiarity with Microsoft Excel. NodeXL has enabled users in academia, industry and the general public to analyze tens of thousands of social networks, from networks of politicians voting on bills to networks of motorcycle enthusiasts working together. As part of his work with SMRF and the NodeXL team, Vladimir has contributed a chapter on Twitter analysis to Analyzing Social Media Networks with NodeXL: Insights from a Connected World.

Vladimir's work has received awards at the International Conference for Weblogs in Social Media and Bits on Our Minds. He has presented his research at academic and industrial campuses all over North America and Europe, including: Xerox/PARC, Microsoft, Colgate University, Northeastern University, UMCP and Oxford University (Oxford Internet Institute). He currently resides in Somerville, MA.

Vladimir Barash is instructor of the following workshop:

Leo Betthauser
Leo Betthauser

Senior Data Scientist

Leo Betthauser works at Microsoft Research in Redmond, Wash. Leo has a Ph.D. in mathematics from the University of Florida where he studied applied algebraic topology. Leo is currently exploring the application of deep neural techniques to cyber security. In his spare time, Leo enjoys traveling, cooking, and skiing.

Leo Betthauser is instructor of the following workshop:

Jodi Blomberg
Jodi Blomberg

Senior Director, Data Science and Machine Learning

Jodi Blomberg leads the enterprise data science and machine learning teams that integrate models into applications across Waste Management. Former head of data science at Charles Schwab.  Experienced data science executive with wide track record in creating products that embed NLP, computer vision, machine learning, statistical modeling, and optimization to create demonstrable value.

Larry Braman
Larry Braman

Director of Career Services, Master of Science in Business Analytics

Larry Braman built and currently leads Career Services for UCLA Anderson's Master of Science in Business Analytics program, ranked #2 in the world by QS for the past three years.  With the support of the hundreds of corporate relationships he has developed as well as the Career Curriculum and individual coaching he delivers, his students consistently achieve 100% internship and full-time placement rates in data science and analytics roles across multiple industries and environments, from start-up to Fortune 100.  He welcomes your outreach at .

Clinton Brownley
Clinton Brownley

Data Scientist

Clinton Brownley, Ph.D., is a data scientist at WhatsApp, where he’s responsible for a variety of analytics projects designed to improve messaging and VoIP calling performance and reliability.  Before WhatsApp, Clinton was a data scientist at Facebook, working on large-scale infrastructure analytics projects to inform hardware acquisition, maintenance, and data center operations decisions.  As an avid student and teacher of modern analytics techniques, Clinton is the author of two books, “Foundations for Analytics with Python” and “Multi-objective Decision Analysis,” and also teaches Python programming and data science courses at Facebook and in the Bay Area. Clinton is a past-president of the San Francisco Bay Area Chapter of the American Statistical Association and is a council member for the Section on Practice of the Institute for Operations Research and the Management Sciences. Clinton received degrees from Carnegie Mellon University and American University.

Clinton Brownley is instructor of the following workshop:

Peter Bruce
Peter Bruce

Chief Learning Officer & Founder, Statistics.com

Peter Bruce founded the Institute for Statistics Education at Statistics.com in 2002.  The Institute, which was acquired by Elder Research, Inc. in 2019, specializes in introductory and graduate level online education in statistics, optimization, risk modeling, predictive modeling, data mining, and other subjects in quantitative analytics. Peter is a leading author in the field of data science.  He co-authored of Responsible Data Science (Wiley, 2021), cited by Bookauthority.com as the Best New Data Science eBooks of 2021, and one of the Best Data Science Model Books of All Time. He is also a co-author of the Wiley best-selling Machine Learning for Business Analytics, (Wiley, 2006 – 2021) with 13 editions, versions and translations, used in over 600 universities around the world. Peter co-authored Practical Statistics for Data Scientists (O’Reilly, 2nd ed. 2020), which ranks #3 in Amazon’s list of best-selling books in Mathematical Analysis. He is also the author of Introductory Statistics and Analytics, a Resampling Perspective (Wiley 2015). In addition to English, Peter’s books have appeared in German, Chinese, Japanese, Korean and Polish. Peter’s role at the Statistics.com centers on course development and faculty recruitment – there are over 60 faculty members from around the world who are published experts in their fields; most teach from their own texts. He also teaches a course on resampling methods. Peter has degrees from Princeton, Harvard and the University of Maryland. Prior to his work in statistics, Peter worked in the US diplomatic corps as a Foreign Service Officer.

Peter Bruce is speaking in the following session:

Aaron Cheng Ph.D.
Aaron Cheng Ph.D.

Vice President of Data Science & Solutions

Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems.

Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.

Aaron received his Ph.D. degree in Applied Physics from Northwestern University.

Tom Chi
Tom Chi

Former cofounder of Google X & Founder

Tom Chi has worked in roles ranging from astrophysical researcher to Fortune 500 consultant to corporate executive leading hardware/software team to develop innovative products & services. He pioneered and practices a unique approach to rapid prototyping and leadership that can jumpstart innovative new ideas and move large organizations at unprecedented speeds. He was head of Product Experience and a founding member of Google X, and currently works to accelerate a future where humanity becomes a net positive to nature as Managing Partner of At One Ventures.

Matt Denesuk
Matt Denesuk

SVP, Data Analytics & Artificial Intelligence

Matt Denesuk has devoted his life to using math & data to make the world work better.  He is currently SVP of Data Analytics & AI at Royal Caribbean Group, and leads the development and deployment of data- and data-science-driven capabilities across the company, in such areas as revenue management, industrial operations, customer experience, marketing, sales, hotel operations, and supply chain. He previously was Chief Data Science Officer, and a founder, of Noodle.ai, which provides AI-as-a-Service to enterprise and industrial firms. Prior to that, he was the Chief Data Science Officer of General Electric, leading the data, analytics, and Data Science functions across GE’s industrial business units.  He also led Smarter Planet Modeling & Analytics at IBM Research, and was a Partner in IBM’s Venture Capital Group. Matt has B.S., M.S., and Ph.D. Degrees from MIT and the University of Arizona.

Jim Duarte
Jim Duarte

Principle, IMAGILYTICS and Academician

Jim is an Academician of International Academy for Quality, a Fellow of American Society for Quality, and is co-author on 9 international patents for advanced analytics in Oil & Gas, and Utilities.  His most recent publications are on Disruptive Analytics and Data Science.  He lectures internationally on Big Data and Advanced Analytics for the China International Industries Fair (keynote 4 years) as well as India and universities in Taiwan, Portugal and Qatar.  Jim’s career includes positions as a corporate director for two Fortune 100 companies.  His positions included Director, Strategic Business Analytics for Anheuser-Busch, Senior Data Scientist for SAS Institute, and Technology Director, Corporate Quality Assurance for Reynolds Metals.  He chaired the committee on statistical procedures for the Aluminum Association and served on the GMP SPC Committee for the Pharmaceutical Manufacturers Association.  Jim holds BS and MS degrees in statistics.

Jim Duarte is speaking in the following session:

John Elder Ph.D.
John Elder Ph.D.

Founder & Chair

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.

Usama Fayyad Ph.D.
Usama Fayyad Ph.D.

Executive Director, Chairman

Usama Fayyad is the Executive Director of the Institute for Experiential AI and Chairman of Open Insights, a technology and consulting firm he founded in 2008. His previous roles include co-Founder & CTO at OODA Health, Inc., Global Chief Data Officer at Barclays Bank. Fayyad was also the first person to hold the Chief Data Officer title when Yahoo acquired his second startup in 2004. There, he built the Strategic Data Solutions group and founded Yahoo Research Labs. He held leadership roles at Microsoft and founded the Machine Learning Systems group at NASA's Jet Propulsion Laboratory. He has published over 100 technical articles, edited two books, holds over 20 patents, and is an ACM and AAAI Fellow. Usama has served on the boards/advisory boards of private and public companies.


Fabio Ferraretto
Fabio Ferraretto

Partner & CEO

Fabio is a Business Analytics Sr Executive working on the field for over 20 years applying advanced modelling and analytics tech solutions to solve complex business challenges, achieving improved customer engagement and higher operational efficiency servicing most of the top 100 companies in Latin America.

He holds a Masters of Logistics Systems Engineering and BA in Construction Engineering both from University of Sao Paulo, Brazil. Fabio is also a certified Lead of Analytics & AI from Northwestern University.

Fabio developed his professional career inside Accenture Latin America, where he started in 2002, being one of first executive in the Analytics Group back in 2010. He conducted Gapso Acquisition on Accenture side in 2015 becoming Lead for Advanced Analytics and Data Science in the region, eventually leading Supply Chain Analytics for Growth Markets until 2021.

Fabio is currently a Sr Advisor in Analytics and Data Adoption for some of the top companies in Brazil and also supports Startups growth and services in the fields of Analytics and Digital Talent Recruiting.

Grant Fleming
Grant Fleming

Data Scientist

Grant Fleming is a Data Scientist at Elder Research. At Elder Research, Grant works on developing, designing, and implementing analytic solutions and educational materials for private and public sector clients. His professional focus is on machine learning for social science applications, model interpretability, civic technology, and building software tools to improve reproducibility in data science.

Grant Fleming is speaking in the following session:

Bill Franks
Bill Franks

Chief Analytics Officer

Bill Franks is the Director of the Center for Statistics and Analytical Research at Kennesaw State University. He is also Chief Analytics Officer for The International Institute For Analytics (IIA) and serves on several corporate advisory boards. Franks is also the author of the books Winning The Room, Taming The Big Data Tidal Wave, The Analytics Revolution, and 97 Things About Ethics Everyone In Data Science Should Know. He is a sought after speaker and frequent blogger who has over the years been ranked a top global big data influencer, a top global artificial intelligence and big data influencer, a top AI influencer, and was an inaugural inductee into the Analytics Hall of Fame. His work, including several years as Chief Analytics Officer for Teradata (NYSE: TDC), has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations.  You can learn more at http://www.bill-franks.com.

Bala Ganesh
Bala Ganesh

Vice President, Engineering

Bala Ganesh leads the Operation Technology, Advanced Technology & Technology Support Groups at UPS. He joined UPS in 2012 as a Program Manager for UPS’s customer technology group. Thereafter he had stints in Global Retail Strategy and the Advanced Analytics & Revenue Management groups.

Prior to joining UPS, Bala was a consultant with McKinsey & Co.  He has also worked as an Aerospace Engineering researcher at the Georgia Institute of Technology.  Early in his career, Ganesh served as a pilot in the Indian Air Force. 

Bala earned a PhD in Aerospace Engineering with a minor in Math along with an MBA from the Georgia Institute of Technology. He graduated from the Indian National Defense Academy and Air Force Academy with his undergraduate degree.

Siddha Ganju
Siddha Ganju

Sr. Data Scientist, Self-Driving Vehicles, Medical Instruments & Deep Learning

Siddha Ganju, an AI researcher who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. As an AI Advisor to NASA FDL, she helped build an automated meteor detection pipeline for the CAMS project at NASA, which ended up discovering a comet. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. Her work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. She has served as a featured jury member in several international tech competitions including CES. As an advocate for diversity and inclusion in technology, she speaks at schools and colleges to motivate and grow a new generation of technologies from all backgrounds. She is also the author of O'Reilly's Practical Deep Learning for Cloud, Mobile and Edge.

Bas Geerdink
Bas Geerdink

CTO

Bas is a technology leader in the AI and big data domain. His academic background is in Artificial Intelligence and Informatics. Trained as a software engineer and architect, he has 15 years experience in delivering successful data-driven projects with a wide range of companies and technologies. He occasionally teaches programming courses and is a regular speaker on conferences and informal meetings, where he brings a mixture of market context, his own vision, business cases, architecture and source code in an enthusiastic way towards his audience.


Dante Haywood
Dante Haywood

Data Scientist

Dante is a data scientist at Cape Fear Collective, a non-profit which supports Southeastern North Carolina’s front line organizations in combating poverty, racism, poor health and education outcomes, and socio-economic disparities. In his current role, he builds a Community Data Platform and builds relationships with non-profits, unlocking new potential with data. Prior to his current role at CFC, Dante built data solutions to tackle some of the toughest problems faced by the federal government doing consulting work with Deloitte and Accenture. He lives in Wilmington, North Carolina.

Dante Haywood is speaking in the following session:

Weiwei Hu
Weiwei Hu

Director, Marketing Insights and Data

Weiwei is a data science and analytics leader with extensive experience delivering actionable insights and innovative solutions that drive business and system changes through analytics and market research. Currently leading the Research Center of Excellence (COE) team at Zendesk to drive cross-functional collaboration with executives, business, technical teams to achieve effective outcomes at the speed of business. Winner of the Citrix Marketing ACE award and the Analytic 50 award for the innovative use of data and analytics to create and deliver business values.

Weiwei Hu is speaking in the following session:

Aric LaBarr
Aric LaBarr

Associate Professor of Analytics

A Teaching Associate Professor in the Institute for Advanced Analytics, Dr. Aric LaBarr is passionate about helping people solve challenges using their data. There he helps design the innovative program to prepare a modern work force to wisely communicate and handle a data-driven future at the nation's first Master of Science in analytics degree program. He teaches courses in predictive modeling, forecasting, simulation, financial analytics, and risk management.

Previously, he was Director and Senior Scientist at Elder Research, where he mentored and lead a team of data scientists and software engineers. As director of the Raleigh, NC office he worked closely with clients and partners to solve problems in the fields of banking, consumer product goods, healthcare, and government.

Dr. LaBarr holds a B.S. in economics, as well as a B.S., M.S., and Ph.D. in statistics — all from NC State University.

Aric LaBarr is speaking in the following session:

Jared Lander
Jared Lander

Chief Data Scientist

Jared P. Lander is Chief Data Scientist of Lander Analytics, the Organizer of the New York Open Statistical Programming Meetup and the New York and Government R Conferences, an Adjunct Professor at Columbia Business School, and a Visiting Lecturer at Princeton University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. Jared oversees the long-term direction of the company and acts as Lead Data Scientist, researching the best strategy, models and algorithms for modern data needs. This is in addition to his client-facing consulting and training. He specializes in data management, multilevel models, machine learning, generalized linear models, data management, visualization and statistical computing. He is the author of R for Everyone (now in its second edition), a book about R Programming geared toward Data Scientists and Non-Statisticians alike. The book is available from Amazon, Barnes & Noble and InformIT. The material is drawn from the classes he teaches at Columbia and is incorporated into his corporate training. Very active in the data community, Jared is a frequent speaker at conferences, universities and meetups around the world.

Jared Lander is instructor of the following workshops:

Michelle Li
Michelle Li

Data Scientist

Michelle Li is a Data Scientist at Paychex whose work is focus on predictive modeling, text analytics and business intelligence. Before joining in Paychex, Michelle received a PhD degree in Earth Science and spent over 10 years on analyzing and modeling data in a variety of fields including satellite imagery, weather prediction, environmental protection, and child welfare.  

James Livingston
James Livingston

Data Scientist

James Livingston is a Data Scientist at Paychex where he specializes in implementing machine learning solutions.  James has over 15 years experience in the software, DevOps, and Data Science space with a strong commitment to innovation.  James operates where technology intersects algorithms and enjoys solving data-centric business problems with advanced methods.  James holds a bachelor’s degree in Computer Science and a master’s degree in Data Science from The Rochester Institute of Technology.

James McCaffrey
James McCaffrey

Senior Scientist Engineer

James McCaffrey, who annually leads the full-day deep learning workshop at Machine Learning Week, works for Microsoft Research in Redmond, Wash. James has a PhD in cognitive psychology and computational statistics from the University of Southern California, a BA in psychology, a BA in applied mathematics, and an MS in computer science. James learned to speak to the public while working at Disneyland as a college student, and he can still recite the entire Jungle Cruise ride narration from memory.

James McCaffrey is instructor of the following workshop:

Terry Miller
Terry Miller

Executive Director-Predictive Analytics (Global Services)

Terry Miller has spent nearly 10 years working with OEMs to evaluate and optimize industrial processes through increased performance of their machines. After finishing a Master’s Degree in Predictive Analytics, Terry began formally training and deploying traditional statistical models, as well as Machine Learning algorithms for asset-predictive (explanatory) maintenance and process optimization, specifically on industrial robots.

In his current role, Terry is building a global team of data scientists and data engineers to solve problems in the Services business for Johnson Controls.  Deploying the best practices of Machine Learning and Predictive Analytics, his team facilitates outcomes in Customer Retention, Pricing, and other enterprise applications.

Terry Miller is speaking in the following session:

Ehsan Mousavi
Ehsan Mousavi

Principal Machine Learning Engineer

Ehsan Mousavi is a Principal Machine Learning Engineer at Apple. He has led teams of engineers and scientists to develop various machine learning-based products in Apple, Uber, and Target. He received his Ph.D. from Stanford University in Operation Research. Dr. Mousavi specializes in deep learning, reinforcement learning, optimization and statistical modeling, and their synergistic application to the problems arising in E-commerce, revenue management, and marketing. 

Ehsan Mousavi is speaking in the following session:

Sage Murakishi
Sage Murakishi

Senior Data Scientist

Sage Murakishi is the Senior Data Scientist at Little Caesars Enterprises where he leads and optimizes reporting, analytics, and data science projects. As a data storyteller, Sage utilizes everything from basic statistics to automated machine learning to explain what happened to what will happen. He has experience using analytics in QSR, insurance, finance, healthcare, and retail.

Sage holds a Bachelor of Arts in Political Science from Michigan State University and a Master of Science Predictive Analytics from Northwestern University.

Sage Murakishi is speaking in the following session:

Sharada Narayanan
Sharada Narayanan

Senior Data Scientist

Sharada Narayanan is a Senior Data Scientist at dotData. Currently working in the ML and Feature Engineering automation technologies, Sharada has worked on multiple projects with large volume and variety of data which generate value for organizations in the Healthcare, Supply chain and Customer Analytics space. She has a passion for educating organizations new to data science to facilitate strategic and quick success in driving data driven decisions.

Ali Narmimani
Ali Narmimani

Senior Data Scientist

Ali has joined Twitter since 2019 through the acquisition of Delecta Technologies, a company he had co-founded with his friend. He is a member of the Metrics-team, and is currently the tech-lead for Twitter's user growth modeling and forecasting. Ali has a PhD in AstroPhysics. His PhD was focused on analysing data from the Plack space telescope, a mission led by the European space agency in cooperation with NASA and the Canadian space agency.

Ali Narmimani is speaking in the following session:

Aleks Ontman
Aleks Ontman

Lead Data Scientist and Senior Manager

Aleks Ontman, PhD, is a Lead Data Scientist and Senior Manager at Deloitte, specializing in data science, algorithms, and advanced analytics with a focus on NLP and Graph Theory. He has over 15 years of experience in academia, industry, and government in the theory and application of most sophisticated and up-to-date machine learning and stochastic modeling to real-world problems building and leading teams ensuring rigor and adoption of best-in-class practices in data preparation, modeling, and performance measurement. Additionally, Aleks is actively engaged in firm and external activities which include algorithm development (in various programming environments, e.g., MATLAB, Java SE, C++), implementation, deployment, and optimization. Aleks has over seven years of consulting experience with strong communication and technical skills which are demonstrated by numerous client projects, firm contributions, and publications.

Aleks Ontman is speaking in the following session:

Ash Pahwa
Ash Pahwa

Instructor

University of California Extension, Irvine, CA

Ash Pahwa, Ph.D., is an educator, author, entrepreneur, and technology visionary. He is the CEO of A+ Web Services which provides data mining services.

Dr. Pahwa has worked for General Electric, AT&T Bell Laboratories, Xerox Corporation, and Oracle. He founded CD-Gen, Inc. and DV Studio Technologies, LLC., which introduced successful products for CD-Recording (CDR), MPEG encoding, and DVD archiving. His book,CD-Recordable Bible was published in English, Japanese, and German. He is listed in Who's Who in the Frontiers of Science and Technology. He is also a Google Certified Analytics Consultant.

Dr. Pahwa teaches machine learning courses in the University of California system and Chapman University. Since 2008, he taught many courses at UC Irvine, UCLA, and UC San Diego.

Ash Pahwa is speaking in the following session:

Olivia Parr-Rud
Olivia Parr-Rud

Founder and CEO

Olivia is an expert data scientist, award-winning and best-selling author, and communication coach. Her passion for data science and emotional intelligence guides her quantitative and qualitative research that unveils the relationship between human-centered corporate culture and long-term corporate profits. Olivia's success in data science led to the writing of her international best-seller, Data Mining Cookbook (Wiley 2001). Her research into the need for higher emotional intelligence to thrive in our increasingly complex economy led to her second book, Business Intelligence Success Factors, Aligning for Success in a Global Economy (Wiley/SAS, 2009). Her third book, "Business Analysis Using SAS Enterprise Miner and SAS Enterprise Guide, A Beginner's Guide," highlighted communication and won Best of Show at the Carolina Technical Book competition.

Olivia holds a BA in Mathematics, an MS in Statistics. Clients include Cisco, Clorox, Walmart, Wells Fargo, Genentech, State Farm, Nationwide, Liberty Mutual, Citizen's Bank, HP, IBM, SAS, and Xerox.

George Paslaski
George Paslaski

Director of Data Science

George Paslaski has a PhD in Mathematics from LSU and an MBA from University of Richmond. He started his career in statistics, in 1999 at Capital One where he led the Analytic Testing Lab and was instrumental in getting Capital One statisticians to be early adopters of Stochastic Gradient Boosting. He moved to Farmers Insurance in 2007 where he served as the Director of R&D and later as the Director of Growth Analytics. He became the Director of Data Science at DriveTime in January of 2021.

George Paslaski is speaking in the following session:

Kumaran Ponnambalam
Kumaran Ponnambalam

Principal Engineer - AI

Kumaran Ponnambalam is a technology leader with 20+ years of experience in AI, Big Data, Data Processing & Analytics. His focus is on creating robust, scalable AI models and services to drive effective business solutions.  He is currently leading AI initiatives in the Emerging Technologies & Incubation Group in Cisco. In his previous roles, he has built data pipelines, analytics, integrations, and conversational bots around customer engagement. He has also authored several courses on the LinkedIn Learning Platform in AI and Big Data.

Arjun Prakash
Arjun Prakash

Arjun Prakash is speaking in the following session:

Steven Ramirez
Steven Ramirez

CEO

Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.

In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.

Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.

Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.

Steven Ramirez is speaking in the following session:

Nikitha Reghu
Nikitha Reghu

Strategy & Analytics Manager

Nikitha Reghu is a Data Science & Analytics Manager at Deloitte. She has over six years of consulting experience leading data science and advanced analytics engagements. Nikitha leads teams to streamline data pipelines, implement natural language processing (NLP) models, and visualize insights in reports and dashboards. She has established data science and analytics workstreams for numerous customers. Additionally, Nikitha leads initiatives that inspire and support women in data and AI roles and careers. 

Nikitha Reghu is speaking in the following session:

Karl Rexer
Karl Rexer

President

Karl Rexer founded Rexer Analytics in 2002. He and his teams have built an outstanding reputation providing predictive modeling and analytic consulting to clients across many industries. Recent clients include OneBlood, PwC, Boston Scientific, Redbox, ADT Security, Interamericana University, MIT, Forward Financing, SharkNinja, and many smaller companies. In addition to leading client engagements and hands-on data work, Karl is a predictive analytics evangelist, frequently speaking at conferences, colleges, and other events. He also serves on Advisory Boards for the Business Analytics programs at both Babson College and Bentley University. Since 2007 Rexer Analytics has conducted surveys of analytic professionals, asking them about their algorithms, tools, behaviors and  views. Summary reports from these surveys are available as a free download from the Rexer Analytics website. Prior to founding Rexer Analytics, Karl held leadership positions at several consulting firms and two multi-national banks. Karl holds a PhD from the University of Connecticut.

Karl Rexer is speaking in the following session:

Jennifer Schaff Ph.D.
Jennifer Schaff Ph.D.

Managing Director

Dr. Jennifer Schaff leads Elder Research's Commercial business unit where she advises organizational decision makers to help them realize maximum value from their analytics investments. In her 20 years of management, data analysis, and business experience, Dr. Schaff has built her reputation as a "Barricade Buster" in the data analytics industry. Her experience has uncovered that business barriers -- defining the right opportunity and consumer, delivering the pertinent results to guide data driven decisions, and implementing the change processes -- rather than model building, is where analytics initiatives often fail. Dr. Schaff channels this approach into a passion for guiding organizations through these business challenges to maximize their analytics ROI.

Timothy Shokair
Timothy Shokair

Director, Data Science

Tim Shokair is the head of Data Science and Machine Learning Engineering at Conde Nast. Tim has a background in physics and several years academic experience before moving into data science. As a data scientist, Tim has experience in leading data science teams in the entertainment and computer vision spaces and currently oversees work in advertising, user behaviors, and recommendations.

Timothy Shokair is speaking in the following session:

Drew Smith
Drew Smith

Vice President of Global Data and Analytics

Drew Smith is the Vice President of Global Data and Analytics for Little Caesar Enterprises and Ilitch Holdings where he leads the vision, strategy, and execution of enterprise data and analytics across a diverse array of leading brands in QSR, transport and logistics, food processing, property development, as well as sports and entertainment, with the aim enabling data-driven decisioning.  In his most recent role prior Drew worked for the International Institute for Analytics (IIA) where he led the Analytics Leadership Consortium, working with CDOs, VPs and Directors from Fortune 500 companies across several sectors.  Before the IIA Drew held several positions at IKEA leading: the national commercial analytics functions based in the US HQ, a global divisional analytics function based in the Global Product Development HQ in Sweden, as well as the first global enterprise analytics function based at the Global Retail HQ in the Netherlands.

Drew has a Bachelor’s in History and Political Science from Boston University and an MBA from The Smeal College of Business at Penn State.

Marc Smith
Marc Smith

Chief Social Scientist

Dr. Marc A. Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. He contributes to the open and free NodeXL project (http://nodexl.codeplex.com) that adds social network analysis features to the familiar Excel spreadsheet. NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, from Morgan-Kaufmann which is a guide to mapping connections created through computer-mediated interactions. Smith has published research on social media extensively, providing a map to the landscape of connected communities on the Internet.

Harish Srigiriraju
Harish Srigiriraju

Principal Engineer and Head of Analytics for Cloud

Harish Srigiriraju is a Principal Engineer at Verizon and serves as the head of Analytics & Data Science for Verizon Cloud by managing a team of data analysts and data scientists. He leads technology implementation and feature development for Verizon Cloud, one of the biggest products for Verizon. He has expertise in leveraging advanced analytics, data systems and machine learning to improve software products.

Harish Srigiriraju is speaking in the following session:

James Taylor
James Taylor

CEO

James Taylor is the CEO of Decision Management Solutions and is a leading expert in how to use business rules and analytic technology to build decision management systems. He is passionate about using decision management systems to help companies improve decision-making and develop an agile, analytic and adaptive business. He provides strategic consulting to companies of all sizes, working with clients in all sectors to adopt decision-making technology. James is an expert member of the International Institute for Analytics and is the author of multiple books and articles on decision management, decision modeling, predictive analytics and business rules, and writes a regular blog at JT on EDM. James also delivers webinars, workshops and training. He is a regular keynote speaker at conferences around the world.

James Taylor is speaking in the following session:

James Taylor is instructor of the following workshop:

James Taylor is moderator of the following session:

Tejaswi Tenneti
Tejaswi Tenneti

Senior Manager, Algorithms and Machine Learning

Tejaswi Tenneti is a Senior Manager and Tech Lead at Instacart. His team is responsible for building ML models for user intent understanding, neural text modeling and multi-objective ranking for search and recommendation use cases across multiple content types like products and recipes. He graduated with a master's degree in CS from Stanford University with a specialization in Artificial Intelligence. He has over a decade of experience in leading search and discovery efforts across multiple domains like e-commerce, points of interest in maps, job search and enterprise.

Tejaswi Tenneti is speaking in the following session:

Yentai (Vincent) Wan
Yentai (Vincent) Wan

Director, Network Planning & Optimization

Yentai Wan is the Director of Network Planning & Optimization in UPS Corporate Industrial Engineering group. His primary responsibilities are to (a) improve network planning processes, (b) generate network efficiencies and (c) support strategic initiatives across the enterprise. He joined UPS in 2007 as an Enterprise Network Planning Manager in Corporate Transportation.

Yentai was born and raised in Taipei City, Taiwan. He came to US in 2000 for advanced education and received his PhD of Industrial Engineering and Operations Research from Georgia Institute of Technology. He is passionate about applying Operations Research and Machine Learning with real world applications. Yentai is a Industry Advisory Board member of The Georgia Tech Supply Chain and Logistics Institute. 


Yentai (Vincent) Wan is speaking in the following session:

Ryan Withop
Ryan Withop

Director of Analytics

RingCentral, Inc.

Director of Analytics & Growth at RingCentral, Fmr Sr. Mgr. Electronic Arts and Director of Data Sciences at WeVideo, Ryan Withop is a three time top conference speaker, specializing in User Behavior, Conversion and Product-Led Growth for subscription services.

Ryan Withop is speaking in the following session:


PAW Financial

Dean Abbott
Dean Abbott

Chief Data Scientist

Dean Abbott is Chief Data Scientist at Wunderkind. Mr. Abbott is an internationally recognized expert and innovator in data science and predictive analytics, with three decades of experience solving problems in customer analytics, fraud detection, risk modeling, text mining, survey analysis, and many more. He is frequently included in lists of pioneering and influential data scientists.Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and coauthor of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a popular keynote speaker and workshop instructor at conferences worldwide and serves on advisory boards for the UC/Irvine Predictive Analytics and UCSD Data Science Certificate programs.He holds a bachelor's degree in computational mathematics from Rensselaer Poly


Tucker Balch
Tucker Balch

Managing Director

Tucker Balch is speaking in the following session:

Vladimir Barash
Vladimir Barash

Chief Scientist

Vladimir Barash is Director Graphika Labs. He has received his Ph.D. from Cornell University, where he studied Information Science and wrote his thesis on the flow of rumors and virally marketed products through social networks. At Graphika, Vladimir's research focuses on deep learning applications of network analysis, detection and deterrence of disinformation operations on networks, and causal mechanisms of large-scale social behavior.

In addition to his research duties, Vladimir has a decade's experience working with big data, from scientific computing (Matlab, scipy) to parallel processing technologies (Hadoop / Hive) to data storage and pipelining (Redis, mongodb, MYSQL) at the terabyte scale. At Graphika, Vladimir has co-designed and implemented systems that process tens of millions every six hours to deliver timely information on influencers and conversation leaders in online communities tailored to client interests. Vladimir is proficient in over a dozen programming languages and frameworks and has designed production-ready systems for every stage of big data analysis, from collection to client-facing presentation via web, spreadsheet or graphic visualization.

Vladimir has been active in the Social Media Research Foundation (SMRF) and the NodeXL project, helping build a network analysis package that brings relational data analysis at scale to the fingertips of any interested user, without requiring specialized knowledge or technical training beyond familiarity with Microsoft Excel. NodeXL has enabled users in academia, industry and the general public to analyze tens of thousands of social networks, from networks of politicians voting on bills to networks of motorcycle enthusiasts working together. As part of his work with SMRF and the NodeXL team, Vladimir has contributed a chapter on Twitter analysis to Analyzing Social Media Networks with NodeXL: Insights from a Connected World.

Vladimir's work has received awards at the International Conference for Weblogs in Social Media and Bits on Our Minds. He has presented his research at academic and industrial campuses all over North America and Europe, including: Xerox/PARC, Microsoft, Colgate University, Northeastern University, UMCP and Oxford University (Oxford Internet Institute). He currently resides in Somerville, MA.

Jodi Blomberg
Jodi Blomberg

Senior Director, Data Science and Machine Learning

Jodi Blomberg leads the enterprise data science and machine learning teams that integrate models into applications across Waste Management. Former head of data science at Charles Schwab.  Experienced data science executive with wide track record in creating products that embed NLP, computer vision, machine learning, statistical modeling, and optimization to create demonstrable value.

Peggy Brinkman
Peggy Brinkman

Principal and Consulting Actuary

Peggy is a Fellow of the Casualty Actuarial Society, a Member of the American Academy of Actuaries, and a Principal and Consulting Actuary with Milliman.  She has 30 years of experience in the insurance industry specializing in predictive model development and review, including the development of models for use in ratemaking, underwriting, retention, and other operational uses for homeowners, residential property, and commercial insurance, using a variety of data sources and predictive modeling techniques. Prior to joining Milliman, Peggy was Director of Analytics and Insights at the Allstate Research and Planning Center in Menlo Park, California. 

Peggy Brinkman is speaking in the following session:

Clinton Brownley
Clinton Brownley

Data Scientist

Clinton Brownley, Ph.D., is a data scientist at WhatsApp, where he’s responsible for a variety of analytics projects designed to improve messaging and VoIP calling performance and reliability.  Before WhatsApp, Clinton was a data scientist at Facebook, working on large-scale infrastructure analytics projects to inform hardware acquisition, maintenance, and data center operations decisions.  As an avid student and teacher of modern analytics techniques, Clinton is the author of two books, “Foundations for Analytics with Python” and “Multi-objective Decision Analysis,” and also teaches Python programming and data science courses at Facebook and in the Bay Area. Clinton is a past-president of the San Francisco Bay Area Chapter of the American Statistical Association and is a council member for the Section on Practice of the Institute for Operations Research and the Management Sciences. Clinton received degrees from Carnegie Mellon University and American University.

Aaron Cheng Ph.D.
Aaron Cheng Ph.D.

Vice President of Data Science & Solutions

Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems.

Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.

Aaron received his Ph.D. degree in Applied Physics from Northwestern University.

Tom Chi
Tom Chi

Former cofounder of Google X & Founder

Tom Chi has worked in roles ranging from astrophysical researcher to Fortune 500 consultant to corporate executive leading hardware/software team to develop innovative products & services. He pioneered and practices a unique approach to rapid prototyping and leadership that can jumpstart innovative new ideas and move large organizations at unprecedented speeds. He was head of Product Experience and a founding member of Google X, and currently works to accelerate a future where humanity becomes a net positive to nature as Managing Partner of At One Ventures.

Brandon Cosley
Brandon Cosley

Director of Data Science & AI

Brandon Cosley is speaking in the following session:

Om Deshmukh
Om Deshmukh

Head of Data Sciences and Innovation

Dr. Om Deshmukh is Head of Data Sciences and Innovation at Envestnet. Om and team drive foundational data sciences initiatives to mine actionable insights from the peta-bytes of data that flows through their network. Om is a Ph.D. in Machine Learning from University of Maryland, College Park. He has 50+ international publications (several best paper awards) and 50+ patents (filed/granted). In 2019, his data science team at Envestnet-Yodlee was recognized as one of the top 10 data science teams to work at in India. In 2017, he was recognized as one of the top 10 data scientists in India.  His team won the Govt of India National Award for the Best Accessible Technology (2008). He spent close to a decade in IBM Research and Xerox Research driving various state-of-the-art Machine Learning initiatives for global technical research, technology strategy and start-up partnerships. 

Om is a well-known Machine Learning and Data Sciences authority in industry and academia, with several active collaborations across leading academic and not-for-profit institutions.

John Elder Ph.D.
John Elder Ph.D.

Founder & Chair

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.

John Elder Ph.D. is speaking in the following session:

Usama Fayyad Ph.D.
Usama Fayyad Ph.D.

Executive Director, Chairman

Usama Fayyad is the Executive Director of the Institute for Experiential AI and Chairman of Open Insights, a technology and consulting firm he founded in 2008. His previous roles include co-Founder & CTO at OODA Health, Inc., Global Chief Data Officer at Barclays Bank. Fayyad was also the first person to hold the Chief Data Officer title when Yahoo acquired his second startup in 2004. There, he built the Strategic Data Solutions group and founded Yahoo Research Labs. He held leadership roles at Microsoft and founded the Machine Learning Systems group at NASA's Jet Propulsion Laboratory. He has published over 100 technical articles, edited two books, holds over 20 patents, and is an ACM and AAAI Fellow. Usama has served on the boards/advisory boards of private and public companies.


Bala Ganesh
Bala Ganesh

Vice President, Engineering

Bala Ganesh leads the Operation Technology, Advanced Technology & Technology Support Groups at UPS. He joined UPS in 2012 as a Program Manager for UPS’s customer technology group. Thereafter he had stints in Global Retail Strategy and the Advanced Analytics & Revenue Management groups.

Prior to joining UPS, Bala was a consultant with McKinsey & Co.  He has also worked as an Aerospace Engineering researcher at the Georgia Institute of Technology.  Early in his career, Ganesh served as a pilot in the Indian Air Force. 

Bala earned a PhD in Aerospace Engineering with a minor in Math along with an MBA from the Georgia Institute of Technology. He graduated from the Indian National Defense Academy and Air Force Academy with his undergraduate degree.

Siddha Ganju
Siddha Ganju

Sr. Data Scientist, Self-Driving Vehicles, Medical Instruments & Deep Learning

Siddha Ganju, an AI researcher who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. As an AI Advisor to NASA FDL, she helped build an automated meteor detection pipeline for the CAMS project at NASA, which ended up discovering a comet. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. Her work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. She has served as a featured jury member in several international tech competitions including CES. As an advocate for diversity and inclusion in technology, she speaks at schools and colleges to motivate and grow a new generation of technologies from all backgrounds. She is also the author of O'Reilly's Practical Deep Learning for Cloud, Mobile and Edge.

Hussain Jiwani
Hussain Jiwani

Quantitative Analyst

Hussain Jiwani is quantitative analyst at CHS Inc. He has been with CHS since 2014. He is responsible for developing analytics and forecasting models to improve profitability and manage risk across several fronts. Hussain's demonstrated ability to extrapolate and interpret vast amounts of data adds tremendous value to CHS, its owners and customers.

His work experience is broad and deep, from fixed income and equity derivatives to futures and options. Prior to joining CHS, he spent 11 years as a senior quantitative research analyst with Waterstone Capital Management, Plymouth, Minn., where his research and risk management analysis on convertible and distressed bonds helped fuel the startup hedge funds growth from under $100 million to $1.5 billion. He also held quantitative research analyst positions with DRW Trading Group and JPMorgan Chase.

Hussain Jiwani is speaking in the following session:

Jared Lander
Jared Lander

Chief Data Scientist

Jared P. Lander is Chief Data Scientist of Lander Analytics, the Organizer of the New York Open Statistical Programming Meetup and the New York and Government R Conferences, an Adjunct Professor at Columbia Business School, and a Visiting Lecturer at Princeton University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. Jared oversees the long-term direction of the company and acts as Lead Data Scientist, researching the best strategy, models and algorithms for modern data needs. This is in addition to his client-facing consulting and training. He specializes in data management, multilevel models, machine learning, generalized linear models, data management, visualization and statistical computing. He is the author of R for Everyone (now in its second edition), a book about R Programming geared toward Data Scientists and Non-Statisticians alike. The book is available from Amazon, Barnes & Noble and InformIT. The material is drawn from the classes he teaches at Columbia and is incorporated into his corporate training. Very active in the data community, Jared is a frequent speaker at conferences, universities and meetups around the world.

Carrie Lu Ph.D.
Carrie Lu Ph.D.

Senior Data Scientist

Carrie (Caimei) Lu is a Senior Data Scientist at Safety National Safety National Casualty Corporation. She has worked in data science domain for over 10 years. She is an expert of using data analytics and machine learning technologies to generate business insights from large amounts of industry data, and solve challenging business problems where data holds the key. At Safety National, Carrie Lu works with insurance business stakeholders to improve and optimize claim and underwriting operations by applying predictive models developed on internal and external insurance data. Carrie Lu holds Ph.D. in Information Science from Drexel University. She has over 15 published papers in the fields of Data Mining and Machine Learning.


Carrie Lu Ph.D. is speaking in the following session:

James McCaffrey
James McCaffrey

Senior Scientist Engineer

James McCaffrey, who annually leads the full-day deep learning workshop at Machine Learning Week, works for Microsoft Research in Redmond, Wash. James has a PhD in cognitive psychology and computational statistics from the University of Southern California, a BA in psychology, a BA in applied mathematics, and an MS in computer science. James learned to speak to the public while working at Disneyland as a college student, and he can still recite the entire Jungle Cruise ride narration from memory.

Julia Minkowski
Julia Minkowski

Product Lead

Julia is a Fraud Detection and Risk Management expert, innovator, startup advisor, mentor and a speaker. Currently she is a Product lead at Walmart Global tech focusing on mitigating fraud for Mobile payments and Marketplace. Prior to this, Julia worked with Fiserv, Signifyd, ThreatMetrix, LexisNexis Risk Solutions and helped Fortune 50 Tech and E-Commerce companies such as Microsoft, Intuit, Ebay, Chegg and others to save millions of dollars in fraud losses.

Julia holds a Bachelor’s Degree in Sociology and Geography from the Hebrew University of Jerusalem, Software Programming Certificate from John Bryce Institute, MBA from HaUniversita Ha-Ptuha of Israel, and Strategic Decision and Risk Management Diploma from Stanford University.

Julia Minkowski is speaking in the following session:

Roosevelt Mosley
Roosevelt Mosley

Principal & Consulting Actuary

Roosevelt Mosley is a principal and consulting actuary with Pinnacle Actuarial Resources and has been in the property/casualty industry since 1994. His skill set includes predictive analytics applications for all insurance functions, ratemaking and product development, competitive analysis and litigation support.

He has served as a member of the Casualty Actuarial Society’s (CAS) and Society of Actuaries’ Joint Committee on Inclusion, Equity and Diversity, the board of trustees of the Actuarial Foundation and the CAS Public Relations Advisory Committee. He has also served as a member of the American Academy of Actuaries (AAA) Racial Equity Task Force.

He is the current president-elect of the CAS, has served as vice president of marketing and communications and on the board of directors of CAS, a member of the board of directors of the International Association of Black Actuaries Foundation, and a member of CAS and AAA governance task forces. 



Roosevelt Mosley is speaking in the following session:

Mei Najim CSPA
Mei Najim CSPA

Mei Najim currently works as an Applied Analytics Manager at HSBC and teaches part-time as a Data Analytics Lecturer at University of Chicago. Mei has over 18 years of hands-on analytics experience in banking (collections, agent performance, and financial crime), insurance (claim management, underwriting, pricing, reserving, and catastrophe risk management), and consulting.

Since 2007, Mei has mainly been working, leading, and implementing various large scale data analytics and predictive analytics projects to develop analytics capability for financial organizations. She has extensive statistics, machine learning, and data mining experience dealing with large and complex data sets.  She is an analytics thought leader with a positive influence and a clear vision for how analytics can transform business strategy through techniques, communication, and leadership to devise innovative data-driven solutions. 
Mei has been a frequent speaker at various industry conferences to share her expertise in predictive analytics, machine learning, and data science. She holds a BS in actuarial science from Hunan University and two MS degrees in applied mathematics and in statistics, from Washington State University. She is a member of the American Statistical Association and a Certified Specialist in Predictive Analytics (CSPA) of the Casualty Actuarial Society.

Sharada Narayanan
Sharada Narayanan

Senior Data Scientist

Sharada Narayanan is a Senior Data Scientist at dotData. Currently working in the ML and Feature Engineering automation technologies, Sharada has worked on multiple projects with large volume and variety of data which generate value for organizations in the Healthcare, Supply chain and Customer Analytics space. She has a passion for educating organizations new to data science to facilitate strategic and quick success in driving data driven decisions.

Tope Ogunmola, ASA
Tope Ogunmola, ASA

Senior ERM Analyst

Tope is an Actuary at Safety National Casualty Corporation, where he works in Enterprise Risk Management (ERM). In addition to his ERM work, Tope has also worked on Safety Nationals IFRS Implementation team, providing actuarial support, developing illustrative models for internal documentation and reference purposes, and contributing to the teams data quality effort. In prior roles at MetLife and Assurant Employee Benefits, Tope worked in Asset-Liability Management (ALM), Deferred Acquisition Costs (DAC), and Financial Reporting. Tope is an Associate of the Society of Actuaries (ASA) and holds a M.S. degree in Applied Mathematics from the University of Missouri Columbia.

Tope Ogunmola, ASA is speaking in the following session:

Ted Pindred
Ted Pindred

Research Scientist

Ted is a tech generalist, inventor and practitioner of ML and DS, with experience in robotics and a background in Mechanical Engineering. He currently works at Google in Cloud Trust and Safety, where he uses his skills to help the platform enhance customer trust while preventing fraud and abuse. No matter if he is working on the factory floor, the lab or the office, Ted seeks opportunities to grow a business by applying technology in novel ways.

Vidhya Raman
Vidhya Raman

Head of Marketplace Risk Data Science Team

Vidhya Raman is speaking in the following session:

Marc Smith
Marc Smith

Chief Social Scientist

Dr. Marc A. Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. He contributes to the open and free NodeXL project (http://nodexl.codeplex.com) that adds social network analysis features to the familiar Excel spreadsheet. NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, from Morgan-Kaufmann which is a guide to mapping connections created through computer-mediated interactions. Smith has published research on social media extensively, providing a map to the landscape of connected communities on the Internet.

Corwin Smith
Corwin Smith

Director Business Intelligence and Analytics

Wallick Communities

Corwin Smith is an accomplished data & analytics strategist and practitioner. In his role, Corwin focuses on designing and implementing predictive and statistical models to forecast future business performance by leveraging advanced machine learning platforms. Additionally he analyzes internal & external data to understand performance drivers to identify improvement opportunities to streamline and automate the analytical processes and data pipelines that feed predictive models and dashboards necessary for decision-making. Corwin spent 20 years in the financial and insurance product industry spanning sales, digital, marketing and data & analytics (D&A). He spent the last 5 of those years focused on D&A, where he enabled delivery of over $60 million in quantifiable value for organizational partners by owning the development and deployment of the artificial intelligence and machine learning data product solution strategies.

Corwin Smith is speaking in the following session:

James Taylor
James Taylor

CEO

James Taylor is the CEO of Decision Management Solutions and is a leading expert in how to use business rules and analytic technology to build decision management systems. He is passionate about using decision management systems to help companies improve decision-making and develop an agile, analytic and adaptive business. He provides strategic consulting to companies of all sizes, working with clients in all sectors to adopt decision-making technology. James is an expert member of the International Institute for Analytics and is the author of multiple books and articles on decision management, decision modeling, predictive analytics and business rules, and writes a regular blog at JT on EDM. James also delivers webinars, workshops and training. He is a regular keynote speaker at conferences around the world.

Yentai (Vincent) Wan
Yentai (Vincent) Wan

Director, Network Planning & Optimization

Yentai Wan is the Director of Network Planning & Optimization in UPS Corporate Industrial Engineering group. His primary responsibilities are to (a) improve network planning processes, (b) generate network efficiencies and (c) support strategic initiatives across the enterprise. He joined UPS in 2007 as an Enterprise Network Planning Manager in Corporate Transportation.

Yentai was born and raised in Taipei City, Taiwan. He came to US in 2000 for advanced education and received his PhD of Industrial Engineering and Operations Research from Georgia Institute of Technology. He is passionate about applying Operations Research and Machine Learning with real world applications. Yentai is a Industry Advisory Board member of The Georgia Tech Supply Chain and Logistics Institute. 


Evan Wimpey
Evan Wimpey

Director of Strategic Analytics

Evan Wimpey was a Financial Management Officer in the Marine Corps and an Operations Associate at Goldman Sachs prior to joining Elder Research as a Data Scientist. He holds master's degrees in Economics from East Carolina University and in Analytics from North Carolina State University. He is currently the Director of Strategic Analytics at Elder Research. Evan has a passion for cryptocurrency and exploring more equitable access to credit markets. Evan lives in Cary, NC with his wife and two sons.

Evan Wimpey is speaking in the following session:


PAW Healthcare

Peter Bak
Peter Bak

CIO

Peter Bak is the CIO at Humber River Hospital. He is responsible for the digital vision, on-going operations of that vision, and the innovation agenda. With over 30 years of experience in healthcare informatics, IT operations, software development, and executive leadership, Peter has contributed to the Canadian healthcare system in many ways: driving 100% adoption of digital medical imaging in Canada, creating awareness of digital transformation and Command Centres around the world, and lecturing on Technology in Healthcare. Peter has a PhD in applied engineering from Imperial College, London. He has published various papers on health care-related topics and was recognized as the Canadian public sector CIO for 2016.

Anasse Bari Ph.D.
Anasse Bari Ph.D.

Professor of Computer Science - Director of the AI and Predictive Analytics Lab

Anasse Bari is a professor of computer science and director of the Predictive Analytics and AI research lab at New York University. Prof. Bari teaches computer science and leads a multidisciplinary research team that designs specialized Artificial Intelligence to help solve problems in healthcare, business, finance, politics and social good.

Clinton Brownley
Clinton Brownley

Data Scientist

Clinton Brownley, Ph.D., is a data scientist at WhatsApp, where he’s responsible for a variety of analytics projects designed to improve messaging and VoIP calling performance and reliability.  Before WhatsApp, Clinton was a data scientist at Facebook, working on large-scale infrastructure analytics projects to inform hardware acquisition, maintenance, and data center operations decisions.  As an avid student and teacher of modern analytics techniques, Clinton is the author of two books, “Foundations for Analytics with Python” and “Multi-objective Decision Analysis,” and also teaches Python programming and data science courses at Facebook and in the Bay Area. Clinton is a past-president of the San Francisco Bay Area Chapter of the American Statistical Association and is a council member for the Section on Practice of the Institute for Operations Research and the Management Sciences. Clinton received degrees from Carnegie Mellon University and American University.

Aaron Cheng Ph.D.
Aaron Cheng Ph.D.

Vice President of Data Science & Solutions

Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems.

Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.

Aaron received his Ph.D. degree in Applied Physics from Northwestern University.

Tom Chi
Tom Chi

Former cofounder of Google X & Founder

Tom Chi has worked in roles ranging from astrophysical researcher to Fortune 500 consultant to corporate executive leading hardware/software team to develop innovative products & services. He pioneered and practices a unique approach to rapid prototyping and leadership that can jumpstart innovative new ideas and move large organizations at unprecedented speeds. He was head of Product Experience and a founding member of Google X, and currently works to accelerate a future where humanity becomes a net positive to nature as Managing Partner of At One Ventures.

Wilma Compagner
Wilma Compagner

Clinical Data Scientist

Catharina Hospital

Wilma Compagner is a clinical data scientist at Catharina Hospital in Eindhoven, the Netherlands. It is a tertiary teaching hospital specialized in cardiovascular disease, obesity and oncology. She is focusing on making healthcare more efficient by optimizing the integration of IT solutions in clinical processes.

It is not just about the perfect algorithms, but also on how to implement them in clinical practice in a way they really improve patient care. Wilma holds a Master’s degree in Biomedical Engineering and Clinical Informatics.

Kelley Counts
Kelley Counts

Director of Data Science

Kelley Counts is Director of Data Science at OneBlood. He leads teams that develop and deploy innovative machine learning applications to increase blood donations, anticipate hospital demand for blood products, and optimize the supply chain.  Kelley also has expertise in marketing analytics, data visualization, and the development of statistical business solutions. In addition to his work at OneBlood, Kelley supervises teams of students in Data Science graduate programs. He has also worked on committees to design Python-based Machine Learning graduate courses. Kelley is a frequent speaker on practical applications of machine learning and has published articles on analytics-driven organizational change and workforce adoption. He has served on international professional boards as an advisor on analytics, digital technology, and information systems. Kelley has a Bachelors in Biochemistry, and a MS and MBA in Business Analytics.

Ymke de Jong
Ymke de Jong

Clinical Data Scientist and Data & AI partnership lead

Ymke de Jong is working as a data science and system architecture professional. Her mission is to connect the academic cutting edge technologies to the practical challenges we are facing right now in healthcare thereby accelerating digital transformation by working together. Seeing data driven solutions actually have impact and meet and exceed expectations gives her energy. Ymke holds a degree in Biomedical Engineering focusing on computational biology and data science. Currently working for Royal Philips sharing the vision to improve the life of 3 billion people by 2030.

Chris Franciskovich
Chris Franciskovich

Director, Advanced Analytics

Chris is currently the Direct of Advanced Analytics at OSF Healthcare where he leads a team of data scientists and statisticians who create and deploy industry leading advanced analytics solutions.  He has more than 12 years of experience working in healthcare and holds a MS in Predictive Analytics from Northwestern University, where he focused on advanced modeling techniques and predictive text mining.

Siddha Ganju
Siddha Ganju

Sr. Data Scientist, Self-Driving Vehicles, Medical Instruments & Deep Learning

Siddha Ganju, an AI researcher who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. As an AI Advisor to NASA FDL, she helped build an automated meteor detection pipeline for the CAMS project at NASA, which ended up discovering a comet. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. Her work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. She has served as a featured jury member in several international tech competitions including CES. As an advocate for diversity and inclusion in technology, she speaks at schools and colleges to motivate and grow a new generation of technologies from all backgrounds. She is also the author of O'Reilly's Practical Deep Learning for Cloud, Mobile and Edge.

Robert Grossman
Robert Grossman

Frederick H. Rawson Professor of Medicine and Computer Science

The University of Chicago

Robert Grossman is a partner at Analytic Strategy Partners and a professor at the University of Chicago.  From 2002 to 2016, he was the Founder and Managing Partner of Open Data Group, which provided data science consulting services to a wide variety of companies, including those in financial services, location services, computational advertising and cybersecurity. From 1996 to 2001, he was the Founder and CEO of Magnify, which developed predictive analytic software for the financial services and computational advertising industries.  Magnify was sold to ChoicePoint in 2003 and is now part of the RELX Group.  He is the Frederick H. Rawson Professor of Medicine and Computer Science and the Jim and Karen Frank Director of the Center for Translational Data Science at the University of Chicago, where he leads a data science research group that is developing systems and algorithms for managing, analyzing and sharing large biomedical and environmental datasets.

Rikkert Keldermann
Rikkert Keldermann

Capacity Manager

Catharina Hospital

Rikkert Keldermann is a capacity manager at Catharina Hospital in Eindhoven, the Netherlands, with experience in healthcare business intelligence, clinical informatics, data analysis and  strategic planning. He has a Master’s in Biomedical Engineering from the Eindhoven University of Technology and a PhD degree in Bioinformatics from the University of Utrecht, the Netherlands

Dongsul Kim
Dongsul Kim

Data Scientist

Dongsul Kim is a Data Scientist at OSF Healthcare, where he has been focusing on predictive model evaluation and implementation. Previously at the University of Kansas Health System, he worked on a wide range of analytical activities, including data collection, statistical analysis, data mining, ML model development & implementation, and BI solution. As a founding member of AI Center of Excellence at the health system, he also contributed to a ground work of team structure, process of ML model development & implementation, and ethical integrity. With his practical experiences in healthcare settings, his recent interest has been on delivering meaningful impact of ML models in healthcare. Dongsul holds MPH in Epidemiology from the University of Minnesota and MS in Environmental Health Science from the SUNY at Albany.

Dongsul Kim is speaking in the following session:

Dohyeong Kim Ph.D.
Dohyeong Kim Ph.D.

Professor of Public Policy, GIS and Social Data Analytics and Research

University of Texas at Dallas

Dohyeong Kim, Ph.D. is currently a Professor of public policy, geospatial information sciences and social data analytics and research in the School of Economic, Political and Policy Sciences at the University of Texas at Dallas. He also serves as an Associate Dean of Graduate Education and works as the Director of the Geospatial Health Research Group. His multidisciplinary and multinational collaborative research projects have been funded by the U.S. National Institute of Health, World Health Organization, and the National Research Foundation of Korea. Most of his research fundings have been published in numerous leading refereed journals in public and environmental health fields, and presented in over 200 national and international meetings. His research interests include highly interdisciplinary, including global health and safety, environmental health informatics, and spatiotemporal big data analysis and machine learning. He was a recipient of the 2008 New Investigators in Global Health Award. He holds a Ph.D. in health planning from the University of North Carolina at Chapel Hill.



Danita Kiser
Danita Kiser

Vice President of Research Collaborations

Danita Kiser is a Director of Applied Research and AI/ML in Optum Technology, part of UnitedHealth Group. She is an innovation leader with more than 20 years’ experience in companies such as AOL, Turner Broadcasting, Cox Communications, and numerous technology start-ups. For the past six years, Danita has held roles at Optum in applied research, data science, product management and led delivery of innovative products in big data, infectious disease forecasting and voice processing. She holds a Bachelor of Science degree from the University of Virginia and a PhD from Emory University.

Danita Kiser is speaking in the following session:

Mariana Nikolova-Simons
Mariana Nikolova-Simons

Senior Data Scientist

Mariana Simons is a Senior Data Scientist at Philips Research. She holds a PhD in Numerical Methods and Algorithms from the University of Nijmegen in the Netherlands. She also completed “with distinction” the Data Science Specialization at the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. Her passion about innovation in healthcare and data analytics resulted in more than 50 journal publications and patent applications.

Arjun Prakash
Arjun Prakash

Arjun Prakash is speaking in the following session:

Karl Rexer
Karl Rexer

President

Karl Rexer founded Rexer Analytics in 2002. He and his teams have built an outstanding reputation providing predictive modeling and analytic consulting to clients across many industries. Recent clients include OneBlood, PwC, Boston Scientific, Redbox, ADT Security, Interamericana University, MIT, Forward Financing, SharkNinja, and many smaller companies. In addition to leading client engagements and hands-on data work, Karl is a predictive analytics evangelist, frequently speaking at conferences, colleges, and other events. He also serves on Advisory Boards for the Business Analytics programs at both Babson College and Bentley University. Since 2007 Rexer Analytics has conducted surveys of analytic professionals, asking them about their algorithms, tools, behaviors and  views. Summary reports from these surveys are available as a free download from the Rexer Analytics website. Prior to founding Rexer Analytics, Karl held leadership positions at several consulting firms and two multi-national banks. Karl holds a PhD from the University of Connecticut.

Sung-Chul Seo
Sung-Chul Seo

Professor of Nano, Chemical & Biological Engineering

Seokyeong University

Sung-Chul Seo received a PhD in environmental health and occupational hygiene with strong background in aerosol science, extensive experiences in project management and laboratory works, and exposure assessment for radon and air pollutants, as well as chemical/biological agents. Since 2018, he has been the President of Korea Association of Radon. He is currently a Professor with Seokyeong University, Seoul, South Korea. He has served on the executive boards of Korean Society of Indoor Environment, and for over 20 years he is dedicated to the improvement of indoor air related to environmental health, including radon, particulate matters, and bioaerosols. Recently, he is focusing on establishment of prevention platform using deep learning technology based on big data attributed to real-time the IoT devices. He has many funding as well as academic articles. His research interest includes development of monitoring system for the level of environmental risk factors (i.e., particulate matters) to prevent diseases exacerbations.

Tom Shafer PhD
Tom Shafer PhD

Lead Data Scientist

Tom (PhD, Physics) has spent most of his career building computational tools and applying them to complex problems. As a Lead Scientist at Elder Research, Tom contributes to a diverse collection of projects and clients across the company. Highlights include Bayesian multifactor modeling with Stan, object detection with PyTorch, and network science and graphs research. He most enjoys the opportunity to work with many other Elder Research scientists to learn, experiment, and solve interesting problems.

Tom joined Elder Research after completing a PhD in Physics at the University of North Carolina, where he applied high performance computing systems to the study of nuclear radioactive decays. This radioactivity occurs in massive quantities during supernovae and neutron star mergers like those events observed by gravitational wave detectors in recent years.

Tom Shafer PhD is speaking in the following session:

Owen Sizemore
Owen Sizemore

Director of Machine Learning for Revenue & Access

Owen is the Director of Machine Learning for Revenue and Access at Epic systems, where he has work for over seven years, working on predictive analytics for population health, acute care, and operations. He has helped healthcare organizations across the world gain value from implementing predictive analytics within workflows. He has also served on the advisory board for multiple colleges, including UW-Platteville and Dickinson College, to help them develop Data Science major programs. Owen holds a Ph.D. in Mathematics from UCLA and before working at Epic he held a faculty position at UW-Madison and visiting scholar positions at the University of Tokyo and the Sorbonne.

David Talby Ph.D
David Talby Ph.D

Chief Technology Officer

David Talby is the Chief Technology Officer at John Snow Labs, helping companies apply artificial intelligence to solve real-world problems in healthcare and life science. David is the creator of Spark NLP the world's most widely used natural language processing library in the enterprise. He has extensive experience building and running web-scale software platforms and teams – in startups, for Microsoft's Bing in the US and Europe, and to scale Amazon's financial systems in Seattle and the UK. David holds a Ph.D. in Computer Science and Masters degrees in both Computer Science and Business Administration. He was named USA CTO of the Year by the Global 100 Awards and GameChangers Awards in 2022.

David Talby Ph.D is speaking in the following session:

Piotr Wygocki Ph.D.
Piotr Wygocki Ph.D.

CEO & Co-Founder at MIM Solutions Assistant Professor at University of Warsaw

Co-founder of MIM Solutions. A graduate from the University of Warsaw with a Ph.D. in Informatics and double master's degree in Informatics and Mathematics. Assistant professor at the University of Warsaw. Experienced both in the theoretical and commercial aspects of machine learning. His principal focus is on delivering deep learning solutions in socially important areas, predominantly medicine.

Piotr Wygocki Ph.D. is speaking in the following session:


PAW Industry 4.0

Dean Abbott
Dean Abbott

Chief Data Scientist

Dean Abbott is Chief Data Scientist at Wunderkind. Mr. Abbott is an internationally recognized expert and innovator in data science and predictive analytics, with three decades of experience solving problems in customer analytics, fraud detection, risk modeling, text mining, survey analysis, and many more. He is frequently included in lists of pioneering and influential data scientists.Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and coauthor of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a popular keynote speaker and workshop instructor at conferences worldwide and serves on advisory boards for the UC/Irvine Predictive Analytics and UCSD Data Science Certificate programs.He holds a bachelor's degree in computational mathematics from Rensselaer Poly


Dean Abbott is speaking in the following session:

Nathan Allen
Nathan Allen

Executive Director

WaterStart

Nathan Allen is speaking in the following session:

Clinton Brownley
Clinton Brownley

Data Scientist

Clinton Brownley, Ph.D., is a data scientist at WhatsApp, where he’s responsible for a variety of analytics projects designed to improve messaging and VoIP calling performance and reliability.  Before WhatsApp, Clinton was a data scientist at Facebook, working on large-scale infrastructure analytics projects to inform hardware acquisition, maintenance, and data center operations decisions.  As an avid student and teacher of modern analytics techniques, Clinton is the author of two books, “Foundations for Analytics with Python” and “Multi-objective Decision Analysis,” and also teaches Python programming and data science courses at Facebook and in the Bay Area. Clinton is a past-president of the San Francisco Bay Area Chapter of the American Statistical Association and is a council member for the Section on Practice of the Institute for Operations Research and the Management Sciences. Clinton received degrees from Carnegie Mellon University and American University.

Arnab Chakrabarti
Arnab Chakrabarti

Senior Research Scientist

Dr. Chakrabarti is a Senior Research Scientist in Hitachi's Financial Innovation Lab. in Santa Clara. He works at the intersection of data science and finance, and has been doing industrial research for over ten years . He did his MS-PhD in Electrical and Computer Engineering at Rice University, and afterwards did his Master of Financial Engineering at U C Berkeley. Dr. Chakrabarti's research publications and patents have collectively been cited over one thousand times.

Aaron Cheng Ph.D.
Aaron Cheng Ph.D.

Vice President of Data Science & Solutions

Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems.

Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.

Aaron received his Ph.D. degree in Applied Physics from Northwestern University.

Tom Chi
Tom Chi

Former cofounder of Google X & Founder

Tom Chi has worked in roles ranging from astrophysical researcher to Fortune 500 consultant to corporate executive leading hardware/software team to develop innovative products & services. He pioneered and practices a unique approach to rapid prototyping and leadership that can jumpstart innovative new ideas and move large organizations at unprecedented speeds. He was head of Product Experience and a founding member of Google X, and currently works to accelerate a future where humanity becomes a net positive to nature as Managing Partner of At One Ventures.

Jim Duarte
Jim Duarte

Principle, IMAGILYTICS and Academician

Jim is an Academician of International Academy for Quality, a Fellow of American Society for Quality, and is co-author on 9 international patents for advanced analytics in Oil & Gas, and Utilities.  His most recent publications are on Disruptive Analytics and Data Science.  He lectures internationally on Big Data and Advanced Analytics for the China International Industries Fair (keynote 4 years) as well as India and universities in Taiwan, Portugal and Qatar.  Jim’s career includes positions as a corporate director for two Fortune 100 companies.  His positions included Director, Strategic Business Analytics for Anheuser-Busch, Senior Data Scientist for SAS Institute, and Technology Director, Corporate Quality Assurance for Reynolds Metals.  He chaired the committee on statistical procedures for the Aluminum Association and served on the GMP SPC Committee for the Pharmaceutical Manufacturers Association.  Jim holds BS and MS degrees in statistics.

Jim Duarte is speaking in the following session:

Fabio Ferraretto
Fabio Ferraretto

Partner & CEO

Fabio is a Business Analytics Sr Executive working on the field for over 20 years applying advanced modelling and analytics tech solutions to solve complex business challenges, achieving improved customer engagement and higher operational efficiency servicing most of the top 100 companies in Latin America.

He holds a Masters of Logistics Systems Engineering and BA in Construction Engineering both from University of Sao Paulo, Brazil. Fabio is also a certified Lead of Analytics & AI from Northwestern University.

Fabio developed his professional career inside Accenture Latin America, where he started in 2002, being one of first executive in the Analytics Group back in 2010. He conducted Gapso Acquisition on Accenture side in 2015 becoming Lead for Advanced Analytics and Data Science in the region, eventually leading Supply Chain Analytics for Growth Markets until 2021.

Fabio is currently a Sr Advisor in Analytics and Data Adoption for some of the top companies in Brazil and also supports Startups growth and services in the fields of Analytics and Digital Talent Recruiting.

Jasmin Folkers
Jasmin Folkers

Sales Engineer

Jasmin has a BSME with a background in manufacturing and industrial automation. She is a Sales Engineer with RapidMiner working with companies in all industries to expand their AI strategy to better leverage their people, expertise, and data.

Jasmin Folkers is speaking in the following session:

Bala Ganesh
Bala Ganesh

Vice President, Engineering

Bala Ganesh leads the Operation Technology, Advanced Technology & Technology Support Groups at UPS. He joined UPS in 2012 as a Program Manager for UPS’s customer technology group. Thereafter he had stints in Global Retail Strategy and the Advanced Analytics & Revenue Management groups.

Prior to joining UPS, Bala was a consultant with McKinsey & Co.  He has also worked as an Aerospace Engineering researcher at the Georgia Institute of Technology.  Early in his career, Ganesh served as a pilot in the Indian Air Force. 

Bala earned a PhD in Aerospace Engineering with a minor in Math along with an MBA from the Georgia Institute of Technology. He graduated from the Indian National Defense Academy and Air Force Academy with his undergraduate degree.

Siddha Ganju
Siddha Ganju

Sr. Data Scientist, Self-Driving Vehicles, Medical Instruments & Deep Learning

Siddha Ganju, an AI researcher who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. As an AI Advisor to NASA FDL, she helped build an automated meteor detection pipeline for the CAMS project at NASA, which ended up discovering a comet. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. Her work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. She has served as a featured jury member in several international tech competitions including CES. As an advocate for diversity and inclusion in technology, she speaks at schools and colleges to motivate and grow a new generation of technologies from all backgrounds. She is also the author of O'Reilly's Practical Deep Learning for Cloud, Mobile and Edge.

Anders Hallsby
Anders Hallsby

Partner

Mazarine Ventures

Anders Hallsby is a Partner at Mazarine Ventures; a technology investment firm entirely focused on innovations that address water and wastewater challenges. Most of his career has been spent in the water space, working both in large multinational Fortune 500 companies and in small entrepreneurial start-ups. He has a strong technical background combined with extensive commercial and sales experience, and has developed, commercialized and managed solutions for institutional (commercial properties, food service, multi-tenant housing), industrial (e.g. Food & beverage, Manufacturing, Microelectronics, Power, Chemical Process, Mining, Oil & Gas) and municipal customers.

Prior to joining Mazarine Ventures Anders was Director of Marketing for Nalco Water’s Pretreatment Solutions business, a $60 million business unit within Ecolab. As part of the executive leadership team he helped drive the transformation of a stagnant business by integrating culture, products and work processes from three acquisitions into one, and he led work process reengineering for Marketing, Sales and Engineering.

Earlier in his career, Anders gained extensive experience in sales, marketing, innovation and new product commercialization, managing businesses and launching several new solution offerings generating over $100 million in new revenue over a seven-year period.

Anders holds a Master’s degree in Chemical Engineering from Chalmers University of Technology in Gothenburg, Sweden and received a Master of Science degree and a PhD in Chemical engineering from Cornell University as a Fulbright scholar.

Anders is a member of several professional organizations, including the American Marketing Association (AMA), International Desalination Association (IDA), American Membrane Technology Association (AMTA) and Water Environment Federation (WEF). He is past Secretary of the Caribbean Desalination Association (CaribDA) and a former board member of the American Filtration & Separations Society.

Anders is on LinkedIn, at https://www.linkedin.com/in/andershallsby/

Anders Hallsby is speaking in the following session:

Susan Herman
Susan Herman

Digital Water Solutions Leader

Black & Veatch

Susan Herman is speaking in the following session:

Sarah Kalicin
Sarah Kalicin

Data Scientist

Sarah Kalicin is a HR Measurement Data Scientist with Intel Corporation, who is passionate about how organizations gain more business value through Data Science. In her extensive data career at Intel, she develops strategic plans for analytic adoption to increase business impact. Working in various industry and government positions, such as Becton Dickinson (BD), Kraft Foods, Nabisco, Ford Motor Company, and USDA/National Agriculture Statistics Service, she has gained insight and experience on how successful organizations function that allow them to succeed in their analytic initiatives.  She holds a Master’s degree in Applied Statistics from the University of Michigan and Bachelors’ degrees in Mathematics and Psychology from the SUNY at Oswego.

 


Sarah Kalicin is speaking in the following session:

Matthew Klein
Matthew Klein

CEO

Aqualaurus Group

Dr. Matthew Klein, the Founder & CEO of Aqualaurus Group, provides executive, anticipatory, and strategic leadership solutions for water-focused organizations. Dr. Klein is a former President of North Carolina and Tennessee for a private equity-backed drinking water and wastewater utility. Earlier in his career, Dr. Klein led the turnaround and eventual sale of Indianapolis Water, one of the largest public drinking water systems in the United States. Previously, Dr. Klein served as both a senior environmental regulator and a senior utilities regulator. Dr. Klein was recently awarded his doctorate in strategic leadership at Regent University. Also, he possesses a law degree from the Indiana University Robert H. McKinney School of Law, a Master of Science degree from Ball State University, and a Bachelor of Science degree from Taylor University. Dr. Klein is a Senior Fellow with the Sagamore Institute and the host of the Water Foresight Podcast. Also, he is a graduate of Leadership North Carolina Class XXV and the recipient of the 2018 Exceptional Service Award from the Management & Leadership Division of the American Water Works Association. Finally, Dr. Klein is a member of the American Water Works Association, Water Environment Federation, the Association of Professional Futurists, and the American Bar Association.

Matthew Klein is moderator of the following session:

Wes Madrigal
Wes Madrigal

President and ML Engineer

Mad Consulting

Wes is a data science innovator, with a career of experience working on projects that elevate data science solutions to business problems.  With a strong background in software engineering, analytics, and machine learning Wes is able to bridge the gap between computer science and data science.  Wes has built software to streamline machine learning at scale, built product integrated machine learning models that drive revenue by increasing product ROI, and answered countless questions with deep dive analysis projects.

Wes Madrigal is speaking in the following session:

Terry Miller
Terry Miller

Executive Director-Predictive Analytics (Global Services)

Terry Miller has spent nearly 10 years working with OEMs to evaluate and optimize industrial processes through increased performance of their machines. After finishing a Master’s Degree in Predictive Analytics, Terry began formally training and deploying traditional statistical models, as well as Machine Learning algorithms for asset-predictive (explanatory) maintenance and process optimization, specifically on industrial robots.

In his current role, Terry is building a global team of data scientists and data engineers to solve problems in the Services business for Johnson Controls.  Deploying the best practices of Machine Learning and Predictive Analytics, his team facilitates outcomes in Customer Retention, Pricing, and other enterprise applications.

Santosh Padmagirison
Santosh Padmagirison

Sr. Director, Commercial Finance, Forecasting and Advanced Analytics

Santosh Padmagirison is a seasoned finance and analytics executive focused on improving sales forecasting, decision making, and driving digital transformation at Illumina. Santosh has extensive knowledge/experience using data as a strategic asset to drive business impacts and harnessing the power of artificial intelligence for mission-critical business operations.

Oscar Porto
Oscar Porto

Partner

Oscar is an advanced analytics executive with over 20 years of experience in Software and Analytical Consulting Services, contributing significantly to achieving results, improving the business and achieving high levels of customer satisfaction.

He holds a PhD in Computer Science and Systems Engineering from the University of Rio de Janeiro, Brazil, and a BA in Mathematics from the University of Buenos Aires, Argentina.

He was one of the founders of GAPSO Analytics in 2003, a company acquired by Accenture in March 2015, where he was one of the leaders of a team of over 300 analytics in Latin America as of July 2021.

He has been working in the field of advanced analysis since 1991. Prior to GAPSO, he was Associate Professor at the Pontifical Catholic University of Rio de Janeiro where, in addition to regular teaching and research activities, he participated in several consulting projects.

Oscar is one of the founding partners of DHAUZ.

Steven Ramirez
Steven Ramirez

CEO

Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.

In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.

Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.

Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.

Prakash Reddy
Prakash Reddy

Distinguished Technologist

Prakash Reddy is a Distinguished Technologist at HP Labs and has been working on advancing the state of technology in 3D printing. His primary focus has been to build a software eco system that automates the digital to Physical transformation using 3D printing.

He is currently working on building a low or no code analytics platform targeted at additive manufacturing. As part of this effort he leads a geographically distributed team in developing a highly scalable on-premise edge compute infrastructure, peta byte scale data storage system to manage the device telemetry data. The low code analytics platform leverages the data platform and enables users to build, test and deploy experimental models quickly.

In the past he has worked on large scale distributed systems both on private and public cloud infrastrucuture. He has been part of two successful starts..

Karl Rexer
Karl Rexer

President

Karl Rexer founded Rexer Analytics in 2002. He and his teams have built an outstanding reputation providing predictive modeling and analytic consulting to clients across many industries. Recent clients include OneBlood, PwC, Boston Scientific, Redbox, ADT Security, Interamericana University, MIT, Forward Financing, SharkNinja, and many smaller companies. In addition to leading client engagements and hands-on data work, Karl is a predictive analytics evangelist, frequently speaking at conferences, colleges, and other events. He also serves on Advisory Boards for the Business Analytics programs at both Babson College and Bentley University. Since 2007 Rexer Analytics has conducted surveys of analytic professionals, asking them about their algorithms, tools, behaviors and  views. Summary reports from these surveys are available as a free download from the Rexer Analytics website. Prior to founding Rexer Analytics, Karl held leadership positions at several consulting firms and two multi-national banks. Karl holds a PhD from the University of Connecticut.

Karl Rexer is speaking in the following session:

Hassan Sherwani
Hassan Sherwani

Data Scientist Architect

As a Data Scientist expert, Hassan has worked with the IT industry, startups & Academia for more than 10 years, ultimately gaining hands-on experience in machine (deep) learning for Energy, Retail, Banking, Law, Telecom, and Automotive sectors.

Joakim Soederberg
Joakim Soederberg

Head of Data at Acubed by Airbus

Joakim Soederberg is Head of Data at Acubed by Airbus and has 15 years of experience as a machine learning engineer and data scientist in the telecom, automotive and multimedia industry. Prior to joining Airbus, he conducted research in Volvo Cars' R&D Tech Center where he supervised and operated data analytics and consumer insights. He was also a researcher at Samsung Research America where he was responsible for data acquisition, enterprise knowledge graphs design, data modeling and semantic indexing. Joakim received a Master of Science from Royal Institute of Technology of Stockholm, and a Ph.D in Computer Science from ENST Telecom Paris for his work on image and video analysis. His published work includes journal and conference articles on semantic multimedia information retrieval and image understanding.

Joakim Soederberg is speaking in the following session:

Serdar Uckun
Serdar Uckun

Senior Technical Advisor

Serdar Uckun is a Senior Technical Advisor at Xerox PARC where he is working with the Predictive Maintenance team on projects in the Industrial IoT space. Serdar has 20+ years of R&D and technology leadership experience. He is the Co-founder and past President of the Prognostics and Health Management Society. He has a PhD in Biomedical Engineering from Vanderbilt University and he has completed a Post-Doc in Computer Science and AI at Stanford University.

Yentai (Vincent) Wan
Yentai (Vincent) Wan

Director, Network Planning & Optimization

Yentai Wan is the Director of Network Planning & Optimization in UPS Corporate Industrial Engineering group. His primary responsibilities are to (a) improve network planning processes, (b) generate network efficiencies and (c) support strategic initiatives across the enterprise. He joined UPS in 2007 as an Enterprise Network Planning Manager in Corporate Transportation.

Yentai was born and raised in Taipei City, Taiwan. He came to US in 2000 for advanced education and received his PhD of Industrial Engineering and Operations Research from Georgia Institute of Technology. He is passionate about applying Operations Research and Machine Learning with real world applications. Yentai is a Industry Advisory Board member of The Georgia Tech Supply Chain and Logistics Institute. 


Yentai (Vincent) Wan is speaking in the following session:

Evan Wimpey
Evan Wimpey

Director of Strategic Analytics

Evan Wimpey was a Financial Management Officer in the Marine Corps and an Operations Associate at Goldman Sachs prior to joining Elder Research as a Data Scientist. He holds master's degrees in Economics from East Carolina University and in Analytics from North Carolina State University. He is currently the Director of Strategic Analytics at Elder Research. Evan has a passion for cryptocurrency and exploring more equitable access to credit markets. Evan lives in Cary, NC with his wife and two sons.

Evan Wimpey is speaking in the following session:


Deep Learning World

Dean Abbott
Dean Abbott

Chief Data Scientist

Dean Abbott is Chief Data Scientist at Wunderkind. Mr. Abbott is an internationally recognized expert and innovator in data science and predictive analytics, with three decades of experience solving problems in customer analytics, fraud detection, risk modeling, text mining, survey analysis, and many more. He is frequently included in lists of pioneering and influential data scientists.Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and coauthor of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a popular keynote speaker and workshop instructor at conferences worldwide and serves on advisory boards for the UC/Irvine Predictive Analytics and UCSD Data Science Certificate programs.He holds a bachelor's degree in computational mathematics from Rensselaer Poly


Dean Abbott is instructor of the following workshop:

Rohit Agarwal
Rohit Agarwal

Chief Data Officer

Rohit works as a  Chief Data Officer at Mobisy Technologies, where he leads a team of Data Scientists & Software Engineers, focusing on retail analytics by applying state of the art ML & Deep Learning techniques. His analysis is published in all the leading financial publications in India every month. Prior to that he spent 11 years in GE working on some of the most challenging data problems for Healthcare & Life sciences.

Rohit has been an active Manning Publication Reviewer and reviewed multiple books & live projects related to Deep Learning & NLP. He has spoken in multiple international conferences including Predictive Analytics conference, Munich (2019,2020). Rohit has a Masters degree in Information Technology  & Bachelors degree in Computer Science

Anthony Alford
Anthony Alford

Director, Development

Anthony is a lead software engineer at Genesys where he is working on several AI and ML projects related to customer experience. He has over 20 years experience in designing and building scalable software. Anthony holds a Ph.D. degree in Electrical Engineering with specialization in Intelligent Robotics Software and has worked on various problems in the areas of human-AI interaction and predictive analytics for SaaS business optimization.

Anthony Alford is speaking in the following session:

Anthony Alford is moderator of the following session:

Eitan Anzenberg
Eitan Anzenberg

Chief Data Scientist

Eitan is the Chief Data Scientist at Bill.com and has many years of experience as a researcher. His recent focus is in machine learning, deep learning, applied statistics and software engineering. Before, he was a Postdoctoral Scholar at Lawrence Berkeley National Lab, received his PhD in Physics from Boston University and his B.S. in Astrophysics from University of California Santa Cruz. He holds 4 patents and 11 publications to date and has spoken about data at various conferences around the world.

Eitan Anzenberg is speaking in the following session:

Vladimir Barash
Vladimir Barash

Chief Scientist

Vladimir Barash is Director Graphika Labs. He has received his Ph.D. from Cornell University, where he studied Information Science and wrote his thesis on the flow of rumors and virally marketed products through social networks. At Graphika, Vladimir's research focuses on deep learning applications of network analysis, detection and deterrence of disinformation operations on networks, and causal mechanisms of large-scale social behavior.

In addition to his research duties, Vladimir has a decade's experience working with big data, from scientific computing (Matlab, scipy) to parallel processing technologies (Hadoop / Hive) to data storage and pipelining (Redis, mongodb, MYSQL) at the terabyte scale. At Graphika, Vladimir has co-designed and implemented systems that process tens of millions every six hours to deliver timely information on influencers and conversation leaders in online communities tailored to client interests. Vladimir is proficient in over a dozen programming languages and frameworks and has designed production-ready systems for every stage of big data analysis, from collection to client-facing presentation via web, spreadsheet or graphic visualization.

Vladimir has been active in the Social Media Research Foundation (SMRF) and the NodeXL project, helping build a network analysis package that brings relational data analysis at scale to the fingertips of any interested user, without requiring specialized knowledge or technical training beyond familiarity with Microsoft Excel. NodeXL has enabled users in academia, industry and the general public to analyze tens of thousands of social networks, from networks of politicians voting on bills to networks of motorcycle enthusiasts working together. As part of his work with SMRF and the NodeXL team, Vladimir has contributed a chapter on Twitter analysis to Analyzing Social Media Networks with NodeXL: Insights from a Connected World.

Vladimir's work has received awards at the International Conference for Weblogs in Social Media and Bits on Our Minds. He has presented his research at academic and industrial campuses all over North America and Europe, including: Xerox/PARC, Microsoft, Colgate University, Northeastern University, UMCP and Oxford University (Oxford Internet Institute). He currently resides in Somerville, MA.

Vladimir Barash is instructor of the following workshop:

Clinton Brownley
Clinton Brownley

Data Scientist

Clinton Brownley, Ph.D., is a data scientist at WhatsApp, where he’s responsible for a variety of analytics projects designed to improve messaging and VoIP calling performance and reliability.  Before WhatsApp, Clinton was a data scientist at Facebook, working on large-scale infrastructure analytics projects to inform hardware acquisition, maintenance, and data center operations decisions.  As an avid student and teacher of modern analytics techniques, Clinton is the author of two books, “Foundations for Analytics with Python” and “Multi-objective Decision Analysis,” and also teaches Python programming and data science courses at Facebook and in the Bay Area. Clinton is a past-president of the San Francisco Bay Area Chapter of the American Statistical Association and is a council member for the Section on Practice of the Institute for Operations Research and the Management Sciences. Clinton received degrees from Carnegie Mellon University and American University.

Clinton Brownley is instructor of the following workshop:

Siva Chamarti
Siva Chamarti

Head of ML Engineering

Siva Chamarti is an inspiring leader with in-depth knowledge in developing and deployment of AI on Edge with special interest in computer vision. At Shell, he is leading AI/ML Engineer team with specialist skills in scaling up AI products. At Shell, he helped in building Shell.AI platform which helps in accelerating AI application development and scaling up the projects.

Siva Chamarti is speaking in the following session:

Aaron Cheng Ph.D.
Aaron Cheng Ph.D.

Vice President of Data Science & Solutions

Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems.

Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.

Aaron received his Ph.D. degree in Applied Physics from Northwestern University.

Tom Chi
Tom Chi

Former cofounder of Google X & Founder

Tom Chi has worked in roles ranging from astrophysical researcher to Fortune 500 consultant to corporate executive leading hardware/software team to develop innovative products & services. He pioneered and practices a unique approach to rapid prototyping and leadership that can jumpstart innovative new ideas and move large organizations at unprecedented speeds. He was head of Product Experience and a founding member of Google X, and currently works to accelerate a future where humanity becomes a net positive to nature as Managing Partner of At One Ventures.

Hamza Farooq
Hamza Farooq

Research Scientist

Hamza has over a decade of experience in leading Data Science/ Machine Learning teams. His tenure spans over three continents and seven countries across APAC, Middle East and Africa and North America and multiple industries, namely, Tech, Telecommunications, Finance and Retail. He is currently working at Google as a Research Scientist and is also serving as an Adjunct Professor at University of Minnesota.

Hamza Farooq is speaking in the following session:

Bala Ganesh
Bala Ganesh

Vice President, Engineering

Bala Ganesh leads the Operation Technology, Advanced Technology & Technology Support Groups at UPS. He joined UPS in 2012 as a Program Manager for UPS’s customer technology group. Thereafter he had stints in Global Retail Strategy and the Advanced Analytics & Revenue Management groups.

Prior to joining UPS, Bala was a consultant with McKinsey & Co.  He has also worked as an Aerospace Engineering researcher at the Georgia Institute of Technology.  Early in his career, Ganesh served as a pilot in the Indian Air Force. 

Bala earned a PhD in Aerospace Engineering with a minor in Math along with an MBA from the Georgia Institute of Technology. He graduated from the Indian National Defense Academy and Air Force Academy with his undergraduate degree.

Siddha Ganju
Siddha Ganju

Sr. Data Scientist, Self-Driving Vehicles, Medical Instruments & Deep Learning

Siddha Ganju, an AI researcher who Forbes featured in their 30 under 30 list, is a Self-Driving Architect at Nvidia. As an AI Advisor to NASA FDL, she helped build an automated meteor detection pipeline for the CAMS project at NASA, which ended up discovering a comet. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. Her work ranges from Visual Question Answering to Generative Adversarial Networks to gathering insights from CERN's petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS. She has served as a featured jury member in several international tech competitions including CES. As an advocate for diversity and inclusion in technology, she speaks at schools and colleges to motivate and grow a new generation of technologies from all backgrounds. She is also the author of O'Reilly's Practical Deep Learning for Cloud, Mobile and Edge.

Vladyslav Ivanov
Vladyslav Ivanov

Quantitative Researcher

Vladyslav Ivanov is a Quantitative Researcher with extensive experience in leading quantitative trading strategies research and applying statistical learning to problems in quantitative finance. Vladyslav's work at Outremont Technology is focused on quantitative trading strategies research and technological development of the hedge fund. Prior to joining Outremont, Vladyslav worked at a Chicago proprietary trading firm, where he conducted alternative data strategies research and was a product owner of the research framework. He also worked in the quantitative research group at a leading New York hedge fund, where he designed and implemented a market regimes analysis system, collaborated with the portfolio manager on strategies development, and built large-scale data processing systems.

Vladyslav holds a degree in Financial Economics and Data Science from Claremont McKenna College. He also received Computer Science and Financial Engineering training during his time at Stanford University, where he carried out research at the Institute for Computational & Mathematical Engineering, and Department of Statistics.

Jared Lander
Jared Lander

Chief Data Scientist

Jared P. Lander is Chief Data Scientist of Lander Analytics, the Organizer of the New York Open Statistical Programming Meetup and the New York and Government R Conferences, an Adjunct Professor at Columbia Business School, and a Visiting Lecturer at Princeton University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. Jared oversees the long-term direction of the company and acts as Lead Data Scientist, researching the best strategy, models and algorithms for modern data needs. This is in addition to his client-facing consulting and training. He specializes in data management, multilevel models, machine learning, generalized linear models, data management, visualization and statistical computing. He is the author of R for Everyone (now in its second edition), a book about R Programming geared toward Data Scientists and Non-Statisticians alike. The book is available from Amazon, Barnes & Noble and InformIT. The material is drawn from the classes he teaches at Columbia and is incorporated into his corporate training. Very active in the data community, Jared is a frequent speaker at conferences, universities and meetups around the world.

Venugopal Mani
Venugopal Mani

Senior Data Scientist 2 at Shipt

Shipt

Venugopal Mani is a Senior Data Scientist 2 from the Search & Recommendations team at Shipt. He has a Master's degree in Computer Science from the University of Minnesota and his research focuses on applying Machine Learning techniques to generate large scale recommendations. Prior to Shipt, Venugopal worked for nearly 4 years at Walmart. In his years at Walmart, he has led many initiatives including smart substitutions for Walmart's popular online grocery platform and has also participated in research involving responsible machine learning through design of differentially private recommenders. His current work at Shipt involves translating abstract methods to large scale , production systems while considering various real-world challenges like the need to maintain low latency while maintaining high accuracy.

James McCaffrey
James McCaffrey

Senior Scientist Engineer

James McCaffrey, who annually leads the full-day deep learning workshop at Machine Learning Week, works for Microsoft Research in Redmond, Wash. James has a PhD in cognitive psychology and computational statistics from the University of Southern California, a BA in psychology, a BA in applied mathematics, and an MS in computer science. James learned to speak to the public while working at Disneyland as a college student, and he can still recite the entire Jungle Cruise ride narration from memory.

James McCaffrey is speaking in the following session:

James McCaffrey is instructor of the following workshop:

Ehsan Mousavi
Ehsan Mousavi

Principal Machine Learning Engineer

Ehsan Mousavi is a Principal Machine Learning Engineer at Apple. He has led teams of engineers and scientists to develop various machine learning-based products in Apple, Uber, and Target. He received his Ph.D. from Stanford University in Operation Research. Dr. Mousavi specializes in deep learning, reinforcement learning, optimization and statistical modeling, and their synergistic application to the problems arising in E-commerce, revenue management, and marketing. 

Ehsan Mousavi is speaking in the following session:

Taesik Na
Taesik Na

Senior Machine Learning Engineer

Taesik Na is a senior machine learning engineer at Instacart where he focuses on search relevance and ranking models. Prior to Instacart, he worked on efficient ML training algorithms and optimization techniques at Microsoft. He also worked on computer aided design at Samsung. Taesik received his Ph.D. in Electrical and Computer Engineering from Georgia Tech, where his research focused on energy efficient, noise robust and secure deep learning system design.

Taesik Na is speaking in the following session:

Sharada Narayanan
Sharada Narayanan

Senior Data Scientist

Sharada Narayanan is a Senior Data Scientist at dotData. Currently working in the ML and Feature Engineering automation technologies, Sharada has worked on multiple projects with large volume and variety of data which generate value for organizations in the Healthcare, Supply chain and Customer Analytics space. She has a passion for educating organizations new to data science to facilitate strategic and quick success in driving data driven decisions.

Sharada Narayanan is speaking in the following session:

Kumaran Ponnambalam
Kumaran Ponnambalam

Principal Engineer - AI

Kumaran Ponnambalam is a technology leader with 20+ years of experience in AI, Big Data, Data Processing & Analytics. His focus is on creating robust, scalable AI models and services to drive effective business solutions.  He is currently leading AI initiatives in the Emerging Technologies & Incubation Group in Cisco. In his previous roles, he has built data pipelines, analytics, integrations, and conversational bots around customer engagement. He has also authored several courses on the LinkedIn Learning Platform in AI and Big Data.

David Schaub
David Schaub

AI Engineer

Working within an internal AI consultancy, David spearheads the end to end design and implementation of python apps incorporating AI. David channels his petroleum engineering roots to meet with experts from the business and turn their needs into programmable inputs and outputs, going from PoC or MVP to deployment with a handoff plan for IT. David is accomplished in the predictive maintenance, subsurface, and retail fuels pricing domains complete with working and used deployments of both applications and entire predictive systems. For fun, David delves into IoT devices, lifting weights, arcade cabinet repair, and PCB design.

David Schaub is speaking in the following session:

Marc Smith
Marc Smith

Chief Social Scientist

Dr. Marc A. Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. He contributes to the open and free NodeXL project (http://nodexl.codeplex.com) that adds social network analysis features to the familiar Excel spreadsheet. NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, from Morgan-Kaufmann which is a guide to mapping connections created through computer-mediated interactions. Smith has published research on social media extensively, providing a map to the landscape of connected communities on the Internet.

Rama Subramanian
Rama Subramanian

Senior Machine Learning Engineer

Rama is currently a Senior Machine Learning Engineer in the Ads Quality team at Instacart. In his previous roles at Quora and Walmart, he built and deployed scalable ML models to generate opportunities for ad targeting, model different user journeys, and serve personalized recommendations to customers, thus boosting clicks, conversions, and revenue.

Rama obtained an M.S. in EECS (Electrical Engineering and Computer Science) from UC Berkeley and a B.Tech (Hons.) in Electrical Engineering from IIT Madras. He has experience in collaborative intelligence, neural machine translation, speaker identification, audio compression, applications of biomedical signal processing and ML in wearable devices, etc. and has published in reputable conferences/workshops (IEEE ICASSP, IEEE Big Data, WWW 2021, etc). He has also filed 5+ patents.

When he's not working, he loves playing the flute. He's a traveler at heart and loves exploring new places and meeting new people.

Vinesh Sukumar
Vinesh Sukumar

Senior Director - Head of Product

Vinesh Sukumar currently serves as Senior Director – Head of AI/ML product management at Qualcomm Technologies, Inc (QTI). In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

Vinesh Sukumar is speaking in the following session:

James Taylor
James Taylor

CEO

James Taylor is the CEO of Decision Management Solutions and is a leading expert in how to use business rules and analytic technology to build decision management systems. He is passionate about using decision management systems to help companies improve decision-making and develop an agile, analytic and adaptive business. He provides strategic consulting to companies of all sizes, working with clients in all sectors to adopt decision-making technology. James is an expert member of the International Institute for Analytics and is the author of multiple books and articles on decision management, decision modeling, predictive analytics and business rules, and writes a regular blog at JT on EDM. James also delivers webinars, workshops and training. He is a regular keynote speaker at conferences around the world.

Yentai (Vincent) Wan
Yentai (Vincent) Wan

Director, Network Planning & Optimization

Yentai Wan is the Director of Network Planning & Optimization in UPS Corporate Industrial Engineering group. His primary responsibilities are to (a) improve network planning processes, (b) generate network efficiencies and (c) support strategic initiatives across the enterprise. He joined UPS in 2007 as an Enterprise Network Planning Manager in Corporate Transportation.

Yentai was born and raised in Taipei City, Taiwan. He came to US in 2000 for advanced education and received his PhD of Industrial Engineering and Operations Research from Georgia Institute of Technology. He is passionate about applying Operations Research and Machine Learning with real world applications. Yentai is a Industry Advisory Board member of The Georgia Tech Supply Chain and Logistics Institute. 


Evan Wimpey
Evan Wimpey

Director of Strategic Analytics

Evan Wimpey was a Financial Management Officer in the Marine Corps and an Operations Associate at Goldman Sachs prior to joining Elder Research as a Data Scientist. He holds master's degrees in Economics from East Carolina University and in Analytics from North Carolina State University. He is currently the Director of Strategic Analytics at Elder Research. Evan has a passion for cryptocurrency and exploring more equitable access to credit markets. Evan lives in Cary, NC with his wife and two sons.

Evan Wimpey is speaking in the following session:

Chengwei Zhai
Chengwei Zhai

Staff Data Scientist

Dr. Chengwei Zhai has been designing and developing simulation and machine-learning-based risk models for complex infrastructure systems. Currently, he serves as Staff Data Scientist at One Concern, a Menlo Park-based Resilience as a Service solution provider that brings disaster science together with machine learning, for better decision-making. In his role, he leads resilience model development, data analytics, verification, and validation of the company’s infrastructure system models.

Chengwei Zhai is speaking in the following session: