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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]
Ian Lowrie
Lead User Experience Researcher
Ad Hoc LLC
Hospital Quality Reporting
Ian is an anthropologist of technology and work. His research has focused on developer experience, the sociology of artificial intelligence work, and the ethnographic study of large-scale data handling platforms.
Presentation: How Humans Make AI Work. [link to session in schedule]
Darryl Marshall
Director of Consulting
eSimplicity
Darryl has engineered and led predictive and operational data modeling engagement in the Federal sector since 2011.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]
Keith A. McFarland
SVP and Chief Innovations Officers
eSimpilcity LLC
Keith’s background includes product management, development, delivery, and customer experience. He is the creative inventor of multiple patents.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]
Edward F. O’Connor
Director – Solutions Architecture, Health Division
ManTech
[short]
Edward O’Connor focuses on systems of systems engineering (SoSE) practices, human factors engineering, and approaches that bring clinical, design, engineering, and operations resources together to solve problems.
Presentation: Using Human-Centered Machine-Learning (HCML) to Improve Data Quality & Data Governance Projects. [link to session in schedule]
[long]
Edward has over 20 years’ experience as a software developer, enterprise architect, and technology executive – and currently drives special projects in ManTech International’s health division. He focuses on systems of systems engineering (SoSE) practices, human factors engineering, and approaches that bring together clinical, design, engineering, and operational resources to solve multi-disciplinary problems.
Mr. O’Connor served as the Chief Information Officer and lead architect for an ambitious integrated delivery system (IDS) effort in Austin, Texas, to bring together primary care clinics, a hospital system, and a startup non-profit health plan, dozens of community service providers, and the Dell Medical School. He also led the independent cloud-migration tiger team and performance testing team for CMS’s Healthcare.gov program and stood up a proof-of-concept for synthetic data creation for large-scale traffic simulation. Edward recently joined a project for the Veteran Administration’s Office of Technical Integration as the lead architect guiding a group of subject matter experts focused on measuring and improving large-scale system interoperability.
Although stationary (in Denver, Colorado) right now – Edward and his family once dispensed with all possessions that did not fit in an Airstream trailer and a pickup truck – and spent over two years traveling the country while working on technology projects (mostly) full-time.
Edward F. O’Connor
Director – Solutions Architecture, Health Division
ManTech
[short]
Edward O’Connor focuses on systems of systems engineering (SoSE) practices, human factors engineering, and approaches that bring clinical, design, engineering, and operations resources together to solve problems.
Presentation: Using Human-Centered Machine-Learning (HCML) to Improve Data Quality & Data Governance Projects. [link to session in schedule]
[long]
Edward has over 20 years’ experience as a software developer, enterprise architect, and technology executive – and currently drives special projects in ManTech International’s health division. He focuses on systems of systems engineering (SoSE) practices, human factors engineering, and approaches that bring together clinical, design, engineering, and operational resources to solve multi-disciplinary problems.
Mr. O’Connor served as the Chief Information Officer and lead architect for an ambitious integrated delivery system (IDS) effort in Austin, Texas, to bring together primary care clinics, a hospital system, and a startup non-profit health plan, dozens of community service providers, and the Dell Medical School. He also led the independent cloud-migration tiger team and performance testing team for CMS’s Healthcare.gov program and stood up a proof-of-concept for synthetic data creation for large-scale traffic simulation. Edward recently joined a project for the Veteran Administration’s Office of Technical Integration as the lead architect guiding a group of subject matter experts focused on measuring and improving large-scale system interoperability.
Although stationary (in Denver, Colorado) right now – Edward and his family once dispensed with all possessions that did not fit in an Airstream trailer and a pickup truck – and spent over two years traveling the country while working on technology projects (mostly) full-time.
Bin Shao, Ph.D.
Lead AI Scientist and Architect
eSimplicity
[short]
With a deep understanding of the latest advances in AI and machine learning research, Dr. Shao specializes in using computer vision and deep reinforcement learning technologies to solve real-world problems.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]
[long]
Bin Shao holds a Ph.D. degree from Iowa State University and has worked in university, research lab, and trading firm settings; he has a broad spectrum of expertise in image processing, information and cybersecurity, blockchain and cryptocurrency trading; he specializes in using computer vision and deep reinforcement learning technologies to solve real-world problems. His work involves computer network intrusion detection that proactively generates alerts for suspicious activities, a complete computer vision pipeline to analyze animal behaviors and control environment, and a smart user authentication model for autonomous vehicles using ECG signals. He has a deep understanding of the latest advances in AI and machine learning research. He likes jokes and reading and while he is not coding, you will find him walking puppies.
Bin Shao, Ph.D.
Lead AI Scientist and Architect
eSimplicity
[short]
With a deep understanding of the latest advances in AI and machine learning research, Dr. Shao specializes in using computer vision and deep reinforcement learning technologies to solve real-world problems.
Panel Discussion: Capabilities and Challenges for Machine Learning focused on Preserving Privacy and CMS Healthcare Goals. [link to session in schedule]
[long]
Bin Shao holds a Ph.D. degree from Iowa State University and has worked in university, research lab, and trading firm settings; he has a broad spectrum of expertise in image processing, information and cybersecurity, blockchain and cryptocurrency trading; he specializes in using computer vision and deep reinforcement learning technologies to solve real-world problems. His work involves computer network intrusion detection that proactively generates alerts for suspicious activities, a complete computer vision pipeline to analyze animal behaviors and control environment, and a smart user authentication model for autonomous vehicles using ECG signals. He has a deep understanding of the latest advances in AI and machine learning research. He likes jokes and reading and while he is not coding, you will find him walking puppies.