Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.
Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.
He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).
Information about Dean Abbott's session will follow soon.
The world's first and only stand-up economist
Economics comedian, author, and carbon tax activist. My primary business is performing economics comedy at colleges and corporate events around the country and around the world. I am also the co-author (with the illustrator Grady Klein) of cartoon books about economics, calculus, and climate change. I was the founder and co-chair of the first-ever carbon tax ballot measure in the USA, the revenue-neutral Initiative 732 campaign in Washington State in 2016. (Unfortunately it didn't pass, but hope springs eternal!)
Information about Yoram Bauman's session will follow soon.
Data Science Lead
Fresenius Medical Care North America
Tommy is currently Data Science Lead at Fresenius Medical Care North America. His team uses data science broadly across the organization to create predictive models and advanced analytics support for a diverse set of company needs. Central to his team’s goals is the use of machine learning to improve medical care of the many chronically ill patients Fresenius provides care for. Tommy holds a Bachelor’s in Computer Science from the University of Waterloo, completed his PhD at the University of Rochester in Brain and Cognitive Sciences, and performed his post-doctoral research at Harvard University.
Tommy Blanchard is speaker of the following session:
Mark Braunstein, MD
Professor of the Practice, School of Interactive Computing
Information about Mark Braunstein, MD's session will follow soon.
System VP & Chief Analytics Officer
Jason Burke is the System Vice President and Chief Analytics Officer for the UNC Health Care System, a senior advisor at the University of North Carolina School of Medicine‘s Center for Innovation, and the principal at Burke Advisory Group. Previously, he was the founder, managing director and chief strategist of an industry-leading think tank pioneering novel approaches to improving health with emerging technologies, data and analytics. He also served as global head of health and life sciences strategy, research and development for SAS, as well as holding strategy and management roles in organizations such as Microsoft, Quintiles, and GlaxoSmithKline. With over 20 years of experience, his contributions cover all aspects of new business strategies, product development, information technology, sales and marketing. His most recent book is called Health Analytics: Gaining the Insights to Transform Health Care (Wiley, 2013), and he has appeared in numerous publications including Forbes, Becker’s Hospital Review, Information Management, InformationWeek, Health Management Technology, PharmaVoice, Drug Discovery and Development, and BioIT World. Burke is a cognitive neuroscientist by training, holding degrees from Virginia Tech and the University of Missouri – Columbia.
Jason Burke is speaker of the following session:
Senior Solutions Architect
James Casaletto is a senior solutions architect at MapR Technologies where he designs, implements, and deploys complete solution frameworks for big data. He has written and delivered courses on MapReduce programming, data engineering, and data science on Hadoop. Today, he is also teaching a graduate course in these topics for the computer science department at San Jose State University.
Information about James Casaletto's session will follow soon.
Ben Cleveland is a Data Scientist at UnityPoint Health in Strategic Analytics. He designs and operationalizes data products that utilize advanced data modeling techniques for the purposes of clinical excellence, strategic planning, and improvement within a large health system. His machine learning and visualization tools are in active use across the enterprise, from executive leadership to clinicians and care teams. Cleveland is a nationally recognized data science practitioner with speaking invitations at analytics, IT, and population health events across the country. His work was awarded the 2016 Project of the Year in Patient Safety from Health Data Management, Finalist for the 2016 ANNY Award from the International Institute for Analytics, and first place in the 2018 Healthcare Informatics Innovator Awards.
Ben Cleveland is speaker of the following session:
Vice President of Operations
Jeff Deal is the Vice President of Operations for Elder Research, the nation's leading data mining and predictive analytics consultancy. In his role, Jeff oversees contracting, finances, logistics, planning, and regulatory/legal issues. In his six years at Elder Research, the company has added a second office in Arlington, Virginia, and has tripled in size. Jeff has worked with dozens of clients to understand their business needs and organizational goals and, in the process, has gained insight into organizational obstacles to successful data mining engagements. His talk on the Top 10 Data Mining Business Mistakes has been well received at prior Predictive Analytics World conferences. As VP of Operations, Jeff has managed engagements with many health care related companies from around the United States.
Jeff has more than 25 years of experience in business operations, planning, and government relations, primarily in the health care industry. Prior to ERI, he was the president of a health planning consulting business that assisted hospitals and physicians with operational analysis, forecasting, and navigating through complex regulatory processes. Before that, Jeff spent 16 years in hospital administration with responsibility for clinical, support, and planning functions. Jeff has a Master of Health Administration degree from Virginia Commonwealth University and an undergraduate degree from the College of William and Mary where he was a member of the wrestling team.
Jeff Deal is speaker of the following session:
Founder & Chair
John Elder chairs America's most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina and Washington DC. 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, and was named by President Bush to serve 5 years on a panel to guide technology for national security.
John Elder is speaker of the following session:
Drug Diversion & Data Mining Analyst
Medicaid Fraud Control Unit, Indiana
Taya Fernandes is speaker of the following session:
Manager of Advanced Analytics
OSF Healthcare System
Chris is currently the Senior Data Scientist at OSF HealthCare, where he utilizes machine learning, statistical, natural language processing, and data mining methods to internally construct and deploy industry leading predictive models in a variety of strategic areas. He has more than 10 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.
Chris Franciskovich is speaker of the following session:
Senior Data Scientist
Dr. Garberson develops machine learning algorithms to screen for childhood cognitive conditions such as autism at Cognoa. This development work ranges from analyses to identify and compensate for defects in data that will be used in machine learning to development and optimization of the algorithms to analyzing clinical study results to validate the performance of the algorithms in real life.
Prior to joining Cognoa, Dr. Garberson spent two years developing machine learning algorithms for energy and consumer comfort optimization in smart thermostats at a startup called EcoFactor. Before that he ran analyses on petabytes of data collected at particle colliders, including the Large Hadron Collider in Switzerland, to search for statistically significant evidence of new fundamental particles and to perform more precise measurements of the properties of existing particles.
Ford Garberson is speaker of the following session:
Executive Director, Analytics
Rhiannon Harms is the Executive Director of Strategic Analytics at UnityPoint Health, where she leads efforts to both deliver best-in-class analytics solutions, as well as matures the analytics aptitude of a $5Bm multi-state, integrated delivery system located in Iowa, Illinois and Wisconsin. Harms is focused on partnering with clinical and business leaders to use data to solve for today's healthcare challenges. With expertise across clinical, operational, and financial domains, Harms is a nationally recognized analytics leader with speaking invitations at analytics, IT and population health events across the country. Harms' team was awarded the Business Analytics Innovation Award from the Center of Business Analytics at Loras College, Analytics All-Star Project of the Year in Patient Safety from Health Data Management, and Finalist for the 2016 ANNY Award from the International Institute for Analytics.
Rhiannon Harms is speaker of the following session:
Max Kuhn is a software engineer at RStudio. a leading company for R software and tools. He is currently working on improving R's modeling capabilities. He has a Ph.D. in Biostatistics.
Max was a Director of Nonclinical Statistics at Pfizer Global R&D in Connecticut. He was applying models in the pharmaceutical and diagnostic industries for over 18 years. Max is the author of eight R packages for techniques in machine learning and reproducible research and is an Associate Editor for the Journal of Statistical Software. He, and Kjell Johnson, wrote the book Applied Predictive Modeling, which won the Ziegel award from the American Statistical Association, which recognizes the best book reviewed in Technometrics in 2015.
He has taught courses on modeling, including many classes for Predictive Analytics World, the useR! conference, the Open Data Science Conference, the India Ministry of Information Technology, and others.
Information about Max Kuhn's session will follow soon.
Fresenius Medical Care North America
Andrew Long is speaker of the following session:
Deep Reinforcement Learning Research Group
Ricky Loynd is a member of the reinforcement learning research group in the Microsoft Research AI labs in Redmond, Wash. He has 25 years of experience with neural networks, and 11 years of experience in reinforcement learning. Ricky is currently focused on creating deep RL agents with more general, human-like intelligence. As a lead mentor for the Microsoft AI School Advanced Projects course, Ricky has helped teams throughout the company incorporate deep learning systems into their work.
Information about Ricky Loynd's session will follow soon.
Senior Scientist Engineer
James McCaffrey works for Microsoft Research in Redmond, Wash. James explores applied deep machine learning and artificial intelligence. He has worked on several Microsoft products including Internet Explorer and Bing. 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.
Information about James McCaffrey's session will follow soon.
Founder and CEO
Diabetes Digital Media
Arjun is the founder and CEO of Diabetes Digital Media. Arjun launched Diabetes.co.uk whilst in his first year of university in 2003 as a result of his grandfather’s quadruple heart bypass and diagnosis of type 2 diabetes. At that time, Diabetes.co.uk was the world’s first digital community for people with diabetes.
Now, Diabetes.co.uk is the world’s largest diabetes community and provider of evidence-based digital health interventions.
A self-confessed data geek, Arjun holds a first-class honours degree (MEng) in Computing and Artificial Intelligence from Imperial College, London. His award-winning Masters research demonstrated the benefits of intelligent web-based systems in improving user experiences through collaboration, machine learning and data mining.
Benefiting from a decade of experience in big data and affecting user outcomes, Arjun now leads the organisation's development of intelligent, evidence-based digital health interventions that harness the power of big data and machine learning to provide precise and personalized care to patients, health agencies and governments worldwide. The approach is redefining chronic disease and wellness, with over 250,000 people using a Diabetes.co.uk digital health intervention within the last 18 months.
Arjun Panesar is speaker of the following session:
Multicare Health System
Jo Quetsch is speaker of the following session:
Chief Social Scientist
Connected Action Consulting Group
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.
Information about Marc Smith's session will follow soon.
Chief Technology Officer
David Talby is a chief technology officer at Pacific AI, helping fast-growing companies apply big data and data science techniques to solve real-world problems in healthcare, life science, and related fields. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, Agile, distributed teams. Previously, he was with Microsoft's Bing Group, where he led business operations for Bing Shopping in the US and Europe, and worked at Amazon both in Seattle and the UK, where he built and ran distributed teams that helped scale Amazon’s financial systems. David holds a PhD in computer science and master’s degrees in both computer science and business administration.
David Talby is speaker of the following session:
Head of Data Science, Advanced Technologies Group
Mike serves as Head of Data Science at Uber ATG, UC Berkeley Data Science faculty, and head of Skymind Labs the Machine Learning research lab affiliated with DeepLearning4J. He has led teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust, Director of Data Sciences for MetaScale/Sears, and CSO for Galvanize where he founded the galvanizeU-UNH accredited Masters of Science in Data Science degree and oversaw the company's transformation from co-working space to Data Science organization. Mike began his career in academia serving as a mathematics teaching fellow for Columbia University before teaching at the University of Pittsburgh. His early research focused on developing the epsilon-anchor methodology for resolving both an inconsistency he highlighted in the dynamics of Einstein’s general relativity theory and the convergence of “large N” Monte Carlo simulations in Statistical Mechanics’ universality models of criticality phenomena.
Michael Tamir is speaker of the following session:
Jaya Tripathi is a principal scientist and an advanced analytics expert in The MITRE Corporation’s Information Technology Technical Center. She is the principal investigator in MITRE's effort to apply health IT concepts to address prescription drug misuse and abuse. She has been working in this domain for many years and has collaborated with law enforcement officials, physicians, policy makers, Board of Pharmacy, academicians and state and Federal partners.
She has been at MITRE for 14 years. Before joining MITRE, Ms. Tripathi worked at several multinational corporations, applying big data analytics on projects such as a customer retention forecasting pilot for a major telecommunications company, and the origin-and-destination revenue management, one of the most significant innovations in the airline industry. She holds master’s degrees in physics and computer science from the University of Texas.
Jaya Tripathi is speaker of the following session:
Vice President, Integrated Care Analytics
Fresenius Medical Care North America
Len Usvyat is a Vice President of Integrated Care Analytics with Fresenius Medical Care North America Medical Office. Len holds a Master’s Degree from the University of Pennsylvania and PhD from the University of Maastricht in Netherlands. He has over 15 years of experience in data management, analytics, research, and epidemiology. He is responsible for supporting analytical efforts for Fresenius’s integrated care assets such as its pharmacy, vascular care centers, urgent care facilities, hospitalist group, and the Fresenius health plan. These efforts vary and include activities such as routine and custom reporting, predictive modeling, outcomes analysis, and research. Len also chairs the Predictive Analytics Steering Committee in FMCNA. Prior to working with the Medical Office, he worked with Renal Research Institute, FMCNA subsidiary, on a variety of research projects related to patient outcomes and quality reporting. Len has published over 40 manuscripts in peer reviewed journals.
Len Usvyat is speaker of the following session:
Capital District Physicians' Health Plan
Matthew Vielkind is a Senior Data Scientist at CDPHP, a regional health plan in New York State, where he is responsible for building models and analytics to support the company’s population health management program. CDPHP's population health program is enhancing traditional claims-based data with external data sources to provide a more robust view of each patient, which are leveraged to better match patients with the resources they need. Matthew has over 10 years of experience conceptualizing and implementing models for healthcare applications with a specific focus on population health. He has built solutions to identify gaps in physician coding, predict readmissions and ER visits, identify patients who could benefit from personalized health coaching and stratify patients by their clinical risk.
Previously he worked at 3M Health Information Systems where he was also involved with designing and implementing payment systems and physician quality scoring programs for ACOs. He has a specific interest modeling how behavior patterns of individual patients can provide information about what that patient’s future experience will be.
Matthew Vielkind is speaker of the following session:
Director of Client Services
As Director of Client Services for LeanTaaS, Ashley leads collaborative efforts with over 30 top tier health care organizations to develop high ROI predictive analytics solutions that improve patient access, patient/staff satisfaction, optimize resource utilization, and reduce service delivery costs. Prior to joining LeanTaaS, Ashley was a Perioperative Business Manager at the UCHealth Metro Denver campus. She obtained her bachelor's degree in Health Science from Truman State University in Kirksville Missouri (2002) and her Masters in Health Administration from Maryville State University in St. Louis Missouri (2007). Ashley joined UCHealth in February 2009 where her responsibilities included capital and operational budget maintenance, patient billing, utilization reporting, expansion planning, and perioperative supply chain management. Ashley is lean-trained and participates in regular process improvement initiatives across UCHealth. She continues to support UCHealth as a Sr. Financial Analyst.
Ashley Walsh is speaker of the following session:
Jason Weinber is a Statistician at OSF Healthcare. He applies data mining, machine learning, and inferential techniques to improve operational and clinical initiatives throughout the OSF Ministry. He has 5+ years of experience in the healthcare industry and holds an MS in Health Informatics from The College of Saint Scholastica, a private Benedictine university. His academics focused on software development, biostatistics, consumer informatics, predictive modeling and data mining techniques.
Jason Weinberg is speaker of the following session: