Speakers

Predictive Analytics World for Financial 2023

June 18-22, 2023 l Red Rock Casino Resort & Spa, Las Vegas


Cheryl Abundo
Cheryl Abundo

Principal Solutions Architect

Cheryl has 13 years experience in Statistical Physics, Computational Modeling, Data Science and Digital technologies having worked with both public and private sectors in developing strategic solutions using Machine Learning and Agent-Based Models. At AWS, Cheryl is a Principal Solution Architect for Autonomous Computing with a focus on Predictive Modeling and Simulations for Digital Twins. Prior to joining AWS, Cheryl worked at Quantum Black – McKinsey and Solvay as Data Science Lead defining digital architectures, and delivering Advanced Analytics and AI assets covering various industries including Chemicals Manufacturing, Agriculture, Aviation, R&I, Procurement, Commercial, Supply Chain, Finance and Energy. Prior to that, she worked on insider threat detection, computer vision for marketing, investment banking trading technologies and geospatial analytics for telecommunications. Cheryl obtained her Ph.D. in Physics from Nanyang Technological University in 2017 where she focused on analytical, graph and computational models for urban, linguistic and genetic systems. She also received a B.S. in Applied Physics from the University of the Philippines with specializations in Neural Network and Complex Systems.

Cheryl Abundo is speaking in the following session:

Juan Acevedo
Juan Acevedo

Enterprise Machine Learning Architect

Juan Acevedo is an Enterprise machine learning architect at Google where he helps customers optimize models for large scale distributed training and serving with accelerators such as GPUs and TPUs.

Juan Acevedo is speaking in the following session:

Rohit Agarwal
Rohit Agarwal

Chief Data Officer

Rohit works as a Chief Data Officer at Mobisy Technologies), where he focuses on retail analytics by applying state of the art ML & Deep Learning techniques. His retail insights are published in all the leading financial publications in India every week. Prior to Mobisy, he was with GE for 11 years. He has spoken in multiple international conferences including PAW Munich (2019), Berlin (2020), Las Vegas (2022). Rohit has a Masters degree in Information Technology & Bachelors degree in Computer Science.

Natesh Arunachalam
Natesh Arunachalam

Lead Data Scientist

Natesh Babu Arunachalam is a Director of Data Science at Mastercard, specifically focused on building innovative AI applications leveraging open banking data. Prior to Mastercard, Natesh was part of the risk management org at JP Morgan Chase where he specialized in underwriting, fraud detection and marketing targeting AI applications for the bank’s consumer division.

Natesh Arunachalam is speaking in the following session:

Bardia Beigi
Bardia Beigi

Senior Applied Scientist

Bardia Beigi works at Microsoft as a Senior Applied Scientist in the Industry AI group delivering AI/ML based solutions to various industries within Azure. Bardia has a master's degree in Computer Science from Stanford University, as well as Bachelor of Applied Science in Engineering Physics from the University of British Columbia. In his spare time, Bardia enjoys traveling, trying out new dessert spots, and learning new life hacks.

Eric Ben-Artzi
Eric Ben-Artzi

Head of Financial Solutions

Eric Ben-Artzi is a researcher in the team that develops client-tailored algorithms for LightSolver’s super-computer. Prior to joining LightSolver, he developed complex derivatives and portfolio risk models at Goldman Sachs and Citibank. Eric holds a PhD in mathematics from the Courtant Institute at NYU, and is an adjunct professor for financial engineering and fintech at the Technion - Israel Institute of Technology.

Eric Ben-Artzi is speaking in the following session:

Jie Chen
Jie Chen

Head of Decision Science and Artificial Intelligence Model Validation

Jie Chen is the head of Decision Science and Artificial Intelligence Model Validation in Corporate Model Risk at Wells Fargo. Her team covers model validation in decision science, natural language processing (NLP), fair lending, financial crime detection, fraud detection and marketing. Prior to that, she led the Cross-Functional Model Validation team and the Statistical Modeling and Machine Learning R&D team in Corporate Model Risk at Wells Fargo.  Before joining Wells Fargo, Jie was a vice president at Bank of America working on market risk model development and consumer credit risk solutions.  She has over fifteen-year experience on machine learning, artificial intelligence, and advanced statistics in the banking industry.  Jie holds a Ph.D. in statistics from the Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology.

Jie Chen is speaking in the following session:

Vashishtha Doshi
Vashishtha Doshi

Manager of Industry Relations

Vash Doshi is the Manager of Industry Relations for UCLA Anderson's Master of Science in Business Analytics program.  Daily, Vash strives to show employers why UCLA Anderson's MSBA has been ranked the #2 place in the world for the past four years to study, build an analytics career, and recruit from. He is driven to help students and UCLA MSBA’s hundreds of partner firms find each other to create the perfect analytics fit. Vash believes in the magic of people. Whether through developing and advocating for reciprocal market access for American firms so that more Americans can find meaningful jobs and grow their businesses via internships at U.S. Departments of State and Commerce, or by counseling over 500 students to help them find their perfect career, he has over five years of experience helping people make magic happen.  He is currently finishing up his Ph.D. in Political Science at UCSB and holds an M.A. in International Studies from the University of Denver’s Josef Korbel School of International Studies.

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:

Isaac Espinoza
Isaac Espinoza

Strategy & Reinsurance

Isaac Espinoza is speaking in the following session:

Jen Gennai
Jen Gennai

Head of Responsible Innovation, Global Affairs

Jen Gennai leads Google’s Responsible Innovation team which is responsible for operationalizing Google’s AI Principles, ensuring that Google’s products have fair and ethical outcomes on individual users and the world. Her team works with product and engineering, leveraging a multidisciplinary group of experts in ethics, human rights, user research, racial justice and gender equity to validate that products and outputs align with our commitments to fairness, privacy, safety, societal benefit and more. Before she co-authored the AI Principles and founded Responsible Innovation, Jen worked on machine learning fairness and founded the Ethical ML team in Trust & Safety.

Jen Gennai is speaking in the following session:

Usha Jagannathan
Usha Jagannathan

Former Principal Engineer

Dr. Usha Jagannathan is a seasoned technologist with over 20 years of experience in driving digital transformation and building customer-centric products. With a strong focus on building new technology ecosystems, she has made significant contributions to McKinsey's Technology & Digital functions. Her expertise encompasses data strategy, leading AI/ML teams in cloud migration initiatives, driving innovation, and implementing AI ethics frameworks to develop responsible AI products. Usha's dedication to promoting DEI efforts is evident through her leadership of apprenticeship and work-study programs aimed at increasing industry diversity. Recognized by business leaders for her expertise in AI ethics and explainability, she is a sought-after speaker at top tech conferences where she shares insights on trending AI technologies and their societal impact.

Usha Jagannathan is speaking in the following session:

Kian Katanforoosh
Kian Katanforoosh

CEO

Kian Katanforoosh is the CEO and cofounder of Workera.ai, the skills intelligence platform redefining how enterprises understand, develop, and mobilize talent. Workera empowers organizations to stay ahead by unlocking the skills data needed to drive innovation. Enterprises get an objective pulse of their innovation skills through a configurable skills ontology, using AI-powered measurement of data, AI, software, cloud, and cyber skills at an atomic-level.

Kian is also a lecturer at Stanford University, where he teaches Deep Learning in the Computer Science department with Prof. Andrew Ng. Kian has been acknowledged for his teaching excellence by Stanford with the Walter J. Gores Award, Stanford’s highest teaching award, and the Centennial Award for Excellence in teaching.

Additionally, Kian is a founding member of deeplearning.ai and he co-created the Deep Learning Specialization on Coursera with Andrew Ng. From 2014 to 2016, Kian co-founded and co-led Daskit, a French start-up developing in-classroom ed-tech solutions for universities.

Gulrez Khan
Gulrez Khan

Data Science Lead

With almost two decades of experience under his belt, Gulrez is a data wrangling extraordinaire, who has a knack for turning boring numbers into captivating stories. When he's not busy working, you can find him digging through open datasets like they're buried treasure, or passing on his data visualization skills to the next generation in the hopes of creating a world of data literate children.


A strong believer in the power of data literacy, Gulrez is on a mission to improve the way people make sense of data. He's known for delivering corporate workshops that are equal parts informative and entertaining, and is currently working on a book that promises to be a page-turner for data geeks everywhere.

William Komp
William Komp

Principal Data Scientist

Komplytics LLC

William Komp is the Principle Data Scientist at Komplytics LLC.. He has over 2 decades of experience in academia, health care, marketing analytics, transportation, logistics, Oil&Gas, Food&Beverage, environmental management, renewable energy and public utilities. He was the technical editor for Applied Predictive Analytics (J. WIley and Sons 2014). He holds a PhD Physics with areas of research in Gravitation, Cosmology and Quantum Field Theory in Curved Spacetime.

William Komp is speaking in the following session:

Yuanyuan Li
Yuanyuan Li

Research Scientist

Dr. Li is the leading Research Scientist for AI Risks of Munich Re in the US. As part of a team developing insurance solutions around AI/ML underperformance, she focuses on model uncertainty quantification in an applied and theoretical way. This extends her academic research at UC Davis where she received her PhD in statistics. Munich Re is a leading global risk and insurance solutions providers.

Yuanyuan Li is speaking in the following session:

Martin Musiol
Martin Musiol

Generative AI Expert

Long before the buzz surrounding generative AI, Martin Musiol was already advocating for its significance in 2015. Since then, he has been a frequent speaker at conferences, podcasts, and panel discussions, addressing the technological advancements, practical applications, and ethical considerations of generative AI. Martin Musiol is a co-founder of generativeAI.net, a lecturer on AI to over 1000 students, and publisher of the newsletter 'Generative AI: Short & Sweet'. As a Data Science Manager at Infosys Consulting (previously at IBM), Martin Musiol helps companies globally harness the power of generative AI to gain a competitive advantage.

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.

Vice President of Commercial Services

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.

Jennifer Schaff Ph.D. is speaking in the following session:

Eric Siegel
Eric Siegel

Conference Founder

Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker. He wrote the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at hundreds of universities, as well as The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. Eric also publishes op-eds on analytics and social justice.

Eric has appeared on Bloomberg TV and Radio, BNN (Canada), Israel National Radio, National Geographic Breakthrough, NPR Marketplace, Radio National (Australia), and TheStreet. Eric and his books have been featured in Big Think, Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, Fast Company, The Financial Times, Forbes, Fortune, GQ, Harvard Business Review, The Huffington Post, The Los Angeles Times, Luckbox Magazine, MIT Sloan Management Review, The New York Review of Books, The New York Times, Newsweek, Quartz, Salon, The San Francisco Chronicle, Scientific American, The Seattle Post-Intelligencer, Trailblazers with Walter Isaacson, The Wall Street Journal, The Washington Post, and WSJ MarketWatch.

Prerna Singh
Prerna Singh

Applied Scientist II

Prerna Singh is currently working as an Applied Scientist II in the Industry AI group @Microsoft where she develops machine learning-based solutions for different industrial verticals including finance and sustainability. Before joining Microsoft, she obtained her master's degree in Electrical and Computer Engineering with a concentration on Machine Learning from Carnegie Mellon University (CMU). Prerna is passionate about machine learning, NLP and deep Reinforcement Learning. Besides work, Prerna enjoys traveling, Zumba and hiking in her free time.

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 moderator of the following session:

Mack Wallace
Mack Wallace

Head of Financial Products

Mack Wallace is Head of Financial Products at MPOWER Financing. His area of expertise is the use of new methods in data and analytics in highly regulated areas of consumer finance, including credit underwriting. Mr Wallace also serves as an external Advisor at both the Aspen Institute and the World Bank where he researches and publishes on the use of data and technology to advance financial inclusion and consumer protection.

William WIlkins
William WIlkins

Senior Vice President, Advanced Analytics and Practical Applications

Bill joined Safety National in 2008, held several different positions within Safety National, in pricing, product development, reserving and risk until being named Senior Vice President, Advance Analytics and Practical Applications in 2023. Bill’s focus is on research and strategic use of third party data, creating innovative predictive analytics capabilities via new tools, new technology and insurtech capabilities to build a pipeline of projects for the Data Analytics department to develop and operationalize.

Prior to joining Safety National, Bill held various executive actuarial roles with global and regional carriers. Bill has been a speaker or panelist at various insurance and tech industry conferences and has contributed to articles on industry-related topics. Bill chaired the American Property Casualty Insurance Association ERM Committee 2022-2023.

William WIlkins is speaking in the following session:

Evan Wimpey
Evan Wimpey

Director of Analytics Strategy

Evan brought his military experience to Elder Research to deliver client solutions as a Data Scientist. He now serves as the Director of Analytics Strategy, helping to marry the exciting things that analytics can do with the myriad of challenges that people are facing. Evan almost always has a smile on his face, and that smile is the widest when he is helping organizations use data in new ways to solve unique problems. Evan earned his BS in Management from Georgia Tech, his MS in Economics from East Carolina University and his MS in Analytics from the Institute for Advanced Analytics at NC State University.  He loves teaching and learning and can often be found exploring the outdoors with his wife and children.

Evan Wimpey is speaking in the following session:

Gordon Yang
Gordon Yang

Actuary & Director - Data Science & Advanced Analytics

Gordon Yang is a Fellow of the Society of Actuaries (FSA) with 15 years of experience serving the finance and insurance industry. Currently, he is leading the advanced analytics and AUW effort in the underwriting department at Pacific Life. Gordon is a frequent speaker in the industry, providing thought leadership on utilizing machine learning techniques in the actuarial and financial risk management space.

Prior to being an actuary, Gordon obtained a master's degree in Applied Mathematics from Columbia University. Gordon is also a certified AWS practitioner with an analytics specialty and a certified Financial Risk Manager (FRM).

Gordon Yang is speaking in the following session: