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Combiz Abdolrahimi
Senior Advisor
U.S. Federal Identity Forum (FedID)
Combiz is an attorney, technologist, and former regulator/policymaker with over 14 years of public and private sector experience helping U.S. Federal, State, and international governments, and health agencies.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]
Cupid Chan
Chairperson BI & AI, Board of Directors,
Technical Steering Committee
Linux Foundation ODPi
Cupid is a well-established technology professional and an adjunct professor at the University of Maryland.
Morning Plenary Session: Catch me if you can – How to Fight Fraud, Waste and Abuse using Machine Learning AND Machine TEACHING (by human). [link to session in schedule]
Steve Geller
VP Digital Services
eSimplicity
Steve has delivered many user-friendly digital product and customer experiences across industries as a product manager and leader.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]
Dr. Rachele Hendricks-Sturrup
Health Policy Counsel
The Future of Privacy Forum
Dr. Hendricks-Sturrup’s work involves using mixed methods research to explore and address ethical, legal, and social issues and implementation barriers at the forefront of health policy and innovation. Her research centers on generating best practices for the use and processing of health and genetic data.
Afternoon Plenary Session: Don't miss Federated Learning to Collect Mobile Patient-Reported Outcomes.[link to session in schedule]
Dr. Sara R. Jordan
Policy Counsel, Artificial Intelligence
The Future of Privacy Forum
Dr. Jordan's expertise includes privacy implications for data sharing, data and Artificial Intelligence (AI) review boards, and privacy analysis and ethical challenges of AI and Machine Learning (ML) technologies.
Afternoon Plenary Session: Federated Learning to Collect Mobile Patient-Reported Outcomes. [link to session in schedule]
Harlan Krumholz, MD, SM
Director of the Yale New Haven Hospital Center for Outcomes Research and Evaluation , Harold H. Hines, Jr. Professor of Medicine
Yale University
Dr. Krumholz is a cardiologist and a leading expert in the science to evaluate and improve the quality and efficiency of care, reduce disparities, improve integrity in medical research, and avoid wasteful practices.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]