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WORLD USABILITY DAY


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REGISTER


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SPEAKERS


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SCHEDULE


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ABOUT


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FAQ




MEET THE SPEAKERS



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. 

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Combiz Abdolrahimi 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. His expertise and experience includes (1) accelerate the adoption and integration of new, innovative, and emerging technologies to increase productivity, efficiency, and positive outcomes to serve the public better and achieve mission impact at scale; and (2) shape the business, policy, legal, regulatory, ethical, & technical development of emerging technologies such as artificial intelligence & machine learning, blockchain & distributed ledger technology, 5G/digital & next-generation communication technologies, telemedicine & telehealth technologies, digital identity & access management. He has successfully operationalized & scaled data-driven and technology-powered systems in the U.S. & around the world. 

Combiz has extensive public and private sector innovation expertise, serving as a trusted advisor, lawyer, technologist, policy advisor, & regulator for 3 U.S. Presidents & Cabinet Secretaries at the U.S. Departments of State, Treasury, The White House & U.S. Senate. He has interfaced with C-suite executives & leaders from 100 countries, working in coordination with U.S. leadership to help set policies & priorities, and receiving commendations from Republican & Democratic leadership. He has served on multiple boards and committees, including the White House National Science and Technology Council (NSTC) Machine Learning & Artificial Intelligence Subcommittee, World Health Organization (Geneva), OECD (Paris) AI & Blockchain Expert Policy Advisory Board, U.S. Federal Identity Forum, and the U.S. Department of Commerce Trade Finance Advisory Council. Combiz is the recipient of multiple awards, including the 2020 Federal 100 Award, nominated by 3 Federal CIOs for his work in driving quality improvement & innovation in the U.S. government. 


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.  

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Cupid Chan is a seasoned professional who is well-established in the industry. He is a Senior Fellow and an Adjunct Professor at the University of Maryland of a Master program class, “Big Data and AI for Business.” His journey started as one of the key players in building world-class software. Besides holding various technical accreditations, his credential extends into business qualifications such as PMP, Lean Six Sigma, and SAFe Agilist. 

Cupid has been a consultant for years providing solutions to various Fortune 500 companies and Public Sector. He is the Board of Directors, Technical Steering Committee (TSC), and the Chairperson of the BI & AI Project in Linux Foundation ODPi, which committed to simplification & standardization of the big data ecosystem. He regularly publishes best practices and industry standards whitepapers with other industry leaders, including topics like Data Science Notebook Guidelines, BI”g Data – How Business Intelligence and Big Data come along? and BI Endgame – When AI meets BI

He was also the Chairperson of Architecture and Co-Chair of Logical Data Model for The Mortgage Industry Standards Maintenance Organization (MISMO), responsible for managing engineering disciplines, providing overall technical direction, and supporting all MISMO Products for the mortgage industry. 


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. 


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Steve Geller is VP of Digital Services for eSimplicity. He has delivered many user-friendly digital products and customer experiences across industries as a product manager and leader during his career. Steve applies Human-Centered Design (HCD) to understand user needs in the service of delivering to the right outcomes. Before eSimplicity, he worked as a product lead for USDS, combining user-centered design with technology to improve government services, on projects in DHS, OPM, DOJ, and CMS. 


Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule] 









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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. 


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Dr. Rachele Hendricks-Sturrup is Health Policy Counsel and Lead at the Future of Privacy since October 2019. She holds a Doctor of Health Science, Master of Art in Legal Studies, and Master of Science in Pharmacology and Toxicology. Dr. Hendricks-Sturrup has over 12 years of cumulative experience in healthcare and biomedical research, health journalism, and engagement with digital health companies and startups. Having received mixed-methods research training as a Research Fellow within the Department of Population Medicine (DPM) at the Harvard Pilgrim Health Care Institute and Harvard Medical School, she addresses ethical, legal, and social issues at the forefront of health policy and innovation. 

Dr. Hendricks-Sturrup was the first and only Thomas O. Pyle Fellow within the DPM to conduct qualitative semi-structured interviews with ten United States legislators and legislative staff, a research strategy and endeavor rarely pursued or successful across any academic institution. Dr. Hendricks-Sturrup also engages with patient and provider community stakeholders and applies implementation science frameworks to identify and address various policy, legal, ethical, economic, and societal issues at the forefront of precision medicine and develop policy recommendations and best practices. She has published several pieces on the importance of diversity, fairness, and privacy in genomic medicine research in several peer-reviewed journals, media platforms, and books that include but are not limited to Bill of Health, Genetic Literacy Project, New York Times, and DNA Technology. 

As FPF’s health lead, Dr. Hendricks-Sturrup works with stakeholders to advance opportunities for data to be used for research and real-world evidence, improve patient care, and allow patients to access their medical records. She continues to develop FPF’s projects and best practices around genetic data, wearables, and machine learning with health 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. 


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Dr. Sara R. Jordan is Policy Counsel, Artificial Intelligence and Ethics at the Future of Privacy Forum. Her profile includes privacy implications of data sharing, data and AI review boards, privacy analysis of AI and Machine Learning (AI/ML) technologies, and analysis of AI/ML's ethical challenges. Sara is an active member of the IEEE Global Initiative on Ethics for Autonomous and Intelligent Systems. Before working at FPF, Sara was faculty in the Center for Public Administration and Policy at Virginia Tech (2014-2020) and in the Department of Politics and Public Administration at the University of Hong Kong (2007- 2013). She is a graduate of Texas A&M University and the University of South Florida. 

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. 


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Harlan Krumholz is a cardiologist, the Director of the Yale New Haven Hospital Center for Outcomes Research and Evaluation (CORE), and the Harold H. Hines, Jr. Professor of Medicine at Yale University. He is a leading expert in the science to evaluate and improve care quality and efficiency, reduce disparities, improve integrity in medical research, and avoid wasteful practices.  

His team has led successful national and international quality improvement initiatives, architected national quality measures and measurement strategies in partnership with CMS, promoted patient-centric approaches to research and care, created strategy and tools to enable open science and advance scientific integrity, and advanced regulatory science in partnership with the FDA.  

Dr. Krumholz was a founding faculty co-Director of the Yale Center for Research Computing. He co-founded the Yale Open Data Access Project, promoting open science and distributing clinical trial data. He is a co-founder of medRxiv, a non-profit preprint server for the medical and health sciences. He was the founder of the American Heart Association Outcomes Research Council and their Annual Scientific Meeting for Quality of Care and Outcomes Research. He was the founding Editor of the American Heart Association journal, Circulation: Quality of Care and Outcomes. Dr. Krumholz is a co-founder of HugoHealth, a patient-centric platform to engage people as partners in research and clinical care, facilitating interoperability and the secure, permission-based movement of digital health data. He is co-founder of Refactor Health, an enterprise healthcare AI-augmented data management company. Dr. Krumholz has published more than 1000 scientific articles. He was named one of the top-cited scientists, with an h-index of almost 200. He received degrees from Yale College, Harvard Medical School, and the Harvard School of Public Health. 


Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]