Deriving Real-World Insights From Real-World Data: Biostatistics to the Rescue.

Positions

• Adjunct Professor in the Department of Biostatistics & Bioinformatics
• Former Chief Data Scientist for Duke Health

Division of Translational Biomedical Informatics

Michael J. Pencina, PhD
Adjunct Professor, Biostatistics & Bioinformatics
Former Chief Data Scientist, Duke Health
Duke University School of Medicine

Michael J. Pencina, PhD, currently serves as UnitedHealth Group chief AI scientist, where he leads data science initiatives to enhance the organization’s innovative use of responsible AI systems that deliver real-world impact at scale for patients, providers, consumers and health plan members.  He is also adjunct professor of biostatistics and bioinformatics at Duke University School of Medicine.  He formerly served as Chief Data Scientist at Duke Health.

Dr. Pencina is an internationally recognized authority in the development, evaluation and responsible application of AI algorithms. His work pioneered new methods for assessment of predictive algorithms and helped establish frameworks for intentional governance of health AI systems. Expert societies and guideline groups have relied on his work to advance best practices for the application of clinical decision support tools in health delivery.  Since 2014, Thomson Reuters/Clarivate Analytics has regularly recognized Dr. Pencina as one of the world’s "highly cited researchers" in clinical medicine and social sciences, with more than 400 publications cited over 150,000 times.

He co-founded the national Coalition for Health AI (CHAI), a multi-stakeholder effort whose mission is to increase trustworthiness of AI by developing guidelines to drive high-quality health care through the implementation of innovative, credible, and transparent health AI systems. He also spearheaded establishing and co-led Duke Health’s Algorithm-Based Clinical Decision Support (ABCDS) Oversight Committee.

Dr. Pencina joined the Duke University faculty in 2013, and served as director of biostatistics for the Duke Clinical Research Institute until 2018. Previously, he was an associate professor in the Department of Biostatistics at Boston University and the Framingham Heart Study, and director of statistical consulting at the Harvard Clinical Research Institute. He received his PhD in Mathematics and Statistics from Boston University in 2003 and holds master’s degrees from the University of Warsaw in actuarial mathematics and business culture.

Email: michael.pencina@duke.edu

Web Sites:  medschool.duke.edu; aihealth.duke.edu; https://scholars.duke.edu/person/michael.pencina

Phone:  919.613.9066

Address:  Duke University School of Medicine; 2424 Erwin Road, Suite 903; Durham, NC 27705

Frank is a full time Professor of Biostatistics and Bioinformatics and Faculty Director for Biostatistics at Duke University Medical Center, Affiliate Professor of Biostatistics at Virginia Commonwealth University, and Strategic Consultant at Hunter Rockhold, Inc.  His 40+-year career includes senior research positions at Lilly, Merck, and GlaxoSmithKline, where he retired as Chief Safety Officer and Senior Vice President of Global Clinical Safety and Pharmacovigilance.  He has held faculty appointments at six different universities.    Dr. Rockhold served for 9 years on the board of directors of the non-profit CDISC, most recently as Chairman, and is past president of the Society for Clinical Trials and a past member of the PCORI Clinical Trials Advisory Panel. He is currently Chair of the Board of the Frontier Science and Technology Research Foundation and a technical advisor to EMA.

Dr. Rockhold has diverse research interests and consulting experience in industry and academia including clinical trials design, data monitoring, benefit/risk, safety and pharmacovigilance and has been a leader in the scientific community in promoting data disclosure and transparency in clinical research.    Frank is widely published in major scientific journals across a wide variety of research topics.

Frank holds a BA in Statistics from The University of Connecticut, an ScM in Biostatistics from The Johns Hopkins University, and a PhD in Biostatistics from the Medical College of Virginia at Virginia Commonwealth University. Frank is an Elected Fellow of both the American Statistical Association and the Society for Clinical Trials, a Fellow of the Royal Statistical Society, an Accredited Professional Statistician, PStat®, and a Chartered Statistician, CStat.