Selected Presentations & Appearances
Gen AI Roundtable, “AI for Good: Facilitating Responsible AI in Healthcare;” AI Panel, “From Academic Medical Centers to Rural Healthcare: Operationalizing Responsible AI;” and Presentation to the Dutch Delegation, “AI for Health Innovation”
- HIMSS 2025
· March 2025
National Scientific Meeting
Healthcare Information Management Systems Society,
Las Vegas, NV
“Artificial Intelligence (AI) Futures in Medicine”
- Perinatal Quality Collaborative of North Carolina (PQCNC)
· January 2025
Invited Talk
North Carolina State University,
Raleigh, NC
“AI and Health at Duke and Health Policy”
- Artificial Intelligence & Medicine Symposium
· January 2025
Invited Talk
Department of Medicine, Duke University,
Durham, NC
“Robust Governance as a Cornerstone of Trustworthy AI”
- AI for Data Science Symposium
· December 2024
Invited Talk
Stanford Medicine,
Palo Alto, CA
“Building Evidence and Empowerment for Digital Health in the Age of AI”
- 8th Annual Digital Medicine Conference
· December 2024
Keynote/Named Lecture
Network of Digital Evidence in Health (NODE.Health),
New York, NY
“Research Applications with Harmonized Variables from the Framingham, MESA, ARIC, and REGARDS Studies”
- AI Health Virtual Showcase
· November 2024
Invited Talk
Duke University School of Medicine,
Durham, NC
“Leading AI in Healthcare: Strategies for Safe and Effective Integration”
- Krembil Centre for Health Management and Leadership, Schulich School of Business
· October 2024
International Meeting or Conference
York University,
Toronto, CA
“AI in Global Health: Navigating the Hope, Hype, and Realities”
- Think Global Session
· October 2024
Invited Talk
Duke Global Health Institute,
Durham, NC
"AI for Health Innovation"
- Inaugural Duke Summit on AI for Health Innovation
· October 2024
Invited Talk
Duke University,
Durham, NC
“A Look Under the Hood: Is Your Infrastructure Equipped to Power the Many Promises of AI?” and “Fireside Chat with Coalition for Health AI (CHAI): Shaping the Future of Credible and Transparent Health AI”
- HIMSS 2024
· September 2024
National Scientific Meeting
Healthcare Information Management Systems Society,
Boston, MA
“Transforming How We Work, Risks and Rewards”
- Healthcare Data and Analytics Association Conference
· September 2024
Invited Talk
UNC Health – University of North Carolina,
“The Evolving Landscape of Human Research with AI: Putting Ethics to Practice”
- 2024 Exploratory Workshop
· September 2024
Invited Talk
Office for Human Research Protections (OHRP), U.S. Department of Health and Human Services,
North Bethesda, MD
“Evaluation and Governance of Health AI Technologies”
- Artificial Intelligence in Action Seminar
· August 2024
Invited Talk
Wake Forest University School of Medicine,
Winston Salem, NC
“AI Ethics, Human Flourishing, and Trust in Health Care”
- Fons Vitae’s Summer 2024 Seminar
· August 2024
Invited Talk
Duke University School of Divinity and Duke Health,
Durham, NC
“Public-Private Partnerships in the Trustworthy Health AI Ecosystem”
- Collaboratory Grand Rounds Podcast: Rethinking Clinical Trials
· June 2024
Broadcast Appearance
National Institutes of Health,
Virtual Event
"AI Governance"
- Leadership Alliance Roundtable
· June 2024
Invited Talk
Institute for Healthcare Improvement,
Virtual Event
“The Interplay of Biostatistics, Data Science, and Technology in Translational Science”
- Summer Institute for Training in Biostatistics Program
· June 2024
Instructional Course, Workshop, or Symposium
Department of Biostatistics & Bioinformatics, Duke University,
Durham, NC
“Harmonizing Standards Towards Responsible Health AI” and“Facilitated Q&A on Assurance Labs”
- 2024 Stanford Center for Artificial Intelligence in Medicine and Imaging Symposium
· May 2024
Invited Talk
Stanford University,
Palo Alto, CA
“Learning Innovation and Lifetime Education”
- AI Summit: Showcase of Duke AI Activities
· April 2024
Invited Talk
Duke University,
“Ushering in the Algorithmic Century: Duke’s Pathfinding Leadership in Ensuring that Health AI Is Safe, Effective and Equitable for All”
- Centennial Celebration
· April 2024
Invited Talk
Duke University,
Durham, NC
“Making Trustworthy Health AI A Reality: An Open Forum on Safe, Reliable and Secure Artificial Intelligence in Healthcare”
- Duke AI Summit with National Institutes of Health
· April 2024
Keynote/Named Lecture
Duke University,
Durham, NC
“Trustworthy Health AI at Duke”
- Centennial Celebration
· April 2024
Invited Talk
Department of Surgery, Duke University School of Medicine,
Durham, NC
“Exploring AI in Healthcare (Technical Perspective)”
- Course 103, Let’s Talk about Digital You: Technical and Ethical Aspects of a Data-Centric World
· April 2024
Instructional Course, Workshop, or Symposium
Department of Social Sciences, Duke University,
Durham, NC
“Public-Private Partnerships in the Trustworthy Health AI Ecosystem”
- Pragmatic Trials Collaboratory: Rethinking Clinical Trials
· March 2024
Invited Talk
National Institutes of Health,
Virtual Event
AI in Healthcare Forum Panel, “The Quest for Responsible AI: Navigating Key Ethical Considerations” and Industry Solution Session, “Operationalizing Responsible AI in Healthcare”
- HIMSS 2024
· March 2024
National Scientific Meeting
Healthcare Information Management Systems Society,
“Artificial Intelligence in the World and its Impact on Higher Education”
- Board of Trustees Offsite Retreat
· February 2024
Invited Talk
Duke University,
Rio Grande, Puerto Rico
"AI Learning Session"
- Customized Training for The Duke Endowment
· January 2024
Lecture
Duke University,
Durham, NC
“Creating Value by Measuring Clinical Decision Support Usage and Efficacy”
- Office of the National Coordinator for Health Information Technology (ONC)
· November 2023
Invited Talk
U.S. Department of Health & Human Services,
Washington, DC
“Responsible Use of AI: Establishing Ground Rules for Safe, Secure and Trusted AI”
- Federal Innovation Series – Leading in the Era of AI
· November 2023
Invited Talk
Microsoft,
Arlington, VA
“Ethically Harnessing the Potential of Generative AI”
· October 2023
Invited Talk
HLTH 2023,
“Towards Responsible AI”
- International Summit for AI in Healthcare
· September 2023
National Scientific Meeting
Washington, DC
“AI and the Future of Digital Healthcare”
- The Connected Health Intiative
· September 2023
Invited Talk
National Press Club,
Washington, DC
Executive Roundtable: Artificial Intelligence
- National Artificial Intelligence Institute (NAII)
· September 2023
Invited Talk
U.S. Department of Veterans Affairs,
Washington, DC
“What AI in Healthcare Actually Means: Trends, Implications, Concerns, and Opportunities”
- Clinician Innovation Initiative
· August 2023
Invited Talk
North Carolina Biotechnology Center,
Research Triangle Park, NC
“Risk Prediction, Communication, and Perception (RiPCoP)”
- International Summer School and Conference
· August 2023
Invited Talk
Brandenburg Medical School Theodor Fontane (MHB),
Neuruppin, Brandenburg, Germany
“Powering Better Health and Healthcare Outcomes–Using Data for Good”
- HIMSS 2023
· May 2023
National Scientific Meeting
Healthcare Information Management Systems Society,
Chicago, IL
“Emerging Issues and Challenges in the Oversight and Regulation of Research Involving Artificial Intelligence”
- Mayo Clinic Symposium
· May 2023
Invited Talk
Mayo Clinic,
Baltimore, MD
“Evaluation and Governance of AI-based Clinical Decision Support Tools in Health Systems”
- Colloquium: Implementing AI in Health
· April 2023
Keynote/Named Lecture
Michigan Institute for Data Science (MIDAS) and the Learning Health System (LHS) Collaboratory,
Ann Arbor, MI
“Unlocking the Potential of Trustworthy AI in Healthcare”
- Department of Medicine Grand Rounds
· March 2023
Invited Talk
Duke University School of Medicine,
Durham, NC
“Development of A Risk Calculator”
- Northwestern Transdiagnostic Clinical Risk Calculators As A Critical Tool for Advancing Equitable Precision Medicine: Bridging Mental and Physical Health to Accelerate Translation
· February 2023
Invited Talk
Northwestern University,
“Understanding AI/ML in the Drug Development Lifecycle”
- Margolis Center for Health Policy - Expert Workshop
· December 2022
Invited Talk
Duke University,
"Modeling Equitable AI in Digital Health"
- MITRE Power Hour
· December 2022
Invited Talk
MITRE Corp.,
Virtual Event
“How AI/ML Is Helping Us Better Understand Diseases and Diagnose Patients Earlier”
- 2022 Janssen R&D Data Science and Digital Health Symposium
· June 2022
Invited Talk
Janssen,
New Brunswick, NJ
“Can Big Data Analytics Deliver on the Promises of Personalized Medicine for All? Unpacking the Health Equity Considerations”
- 2022 Annual Conference
· May 2022
National Scientific Meeting
The Professional Society for Health Economics and Outcomes Research (ISPOR),
Washington, DC
“In Search of a Sheriff in the Wild West: Introducing Duke AI Health 2.0 and Oversight for Algorithm-Based Clinical Decision Support”
- Department of Medicine Grand Rounds
· March 2022
Invited Talk
Duke University School of Medicine,
Durham, NC
“Artificial Intelligence: Capabilities, Liabilities, and Responsibilities”
- Artificial Intelligence: Real Ethical Quandaries Series
· December 2021
Invited Talk
Duke Alumni Forever Learning Institute,
Durham, NC
“The Future of Pediatric Cardiovascular Research”
- National Heart, Lung, and Blood Institute Presentation
· August 2021
Invited Talk
National Institutes of Health,
Bethesda, MD
“The Grave New World of Rising Healthcare Risk – Unlocking Value with Crisis Collaborations”
- Change Healthcare Summit
· April 2021
Invited Talk
Change Healthcare,
Seattle, WA
“Using DSaaS to Drive Innovation in Life Sciences”
- Change Healthcare Webinar
· March 2021
Invited Talk
Change Healthcare,
Nashville, TN
“Cardiovascular Risk Prediction Modeling in Young People”
- Cardiovascular Risk Prediction for Maternal Mortality and Morbidity and Beyond Workshop
· February 2021
Invited Talk
National Heart, Lung, and Blood Institute, National Institutes of Health,
Washington, DC
“COVID-19: State of the Pandemic”
- BattleFin Virtual Discovery Day, Rethinking Everything: Healthcare, Macro + Elections
· July 2020
Invited Talk
BattleFin,
Miami, FL
“Beyond the Black Box: Using Machine Learning (ML) to Understand Causality”
- 2019 Scientific Sessions
· November 2019
National Scientific Meeting
American Heart Association,
Philadelphia, PA
“Informatics-Enabled Learning Health Systems: Strategies for Success from 4 Academic Medical Centers”
- 2019 Annual Symposium
· November 2019
National Scientific Meeting
American Medical Informatics Association,
Washington, DC
"Getting the Most Out of Your Data"
- Community of Scholars Conference
· October 2019
Lecture
Duke University Office of Scientist Development,
Durham, NC
"AI Health and Data Session" Chair
- 2019 Annual Meeting Woo Center for Big Data and Precision Health
· October 2019
International Meeting or Conference
Duke University,
Durham, NC
“Are We Losing Our Humanity? Health Care Leadership in the Age of Artificial Intelligence”
- Duke Health Leadership Summit 2019
· March 2019
National Scientific Meeting
Duke University,
Durham, NC
“Using Electronic Health Records Data for Risk Prediction: Practical Considerations” and “Machine Learning vs. Biostatistics: What is the Difference?”
- 2018 Scientific Sessions
· November 2018
National Scientific Meeting
American Heart Association,
Chicago, IL
“Fusion of Quantitative Methods to Support Learning”
- Precision Medicine World Conference 2018
· September 2018
International Meeting or Conference
Duke University,
Durham, NC
“Moving from Big Data to Big Insights”
- Biostatistics Seminar
· August 2018
Visiting Professorship Lecture
Boston University School of Public Health,
Boston, MA
Keynote Lecture: “Integrating the Role of Real-World Evidence (RWE) in Clinical Trials”
- Corporate Forum Policy Dialogue
· August 2018
National Scientific Meeting
American Heart Association,
Boston, MA
“An Equation-Free Presentation of New Methods for Prediction of Treatment Benefit and Model Evaluation”
- Evidence and the Individual Patient: Understanding Heterogeneous Treatment Effects for Patient-Centered Care
· August 2018
National Scientific Meeting
Predictive Analytics & Comparative Effectiveness (PACE) Center at the Tufts Medical Center + Patient-Centered Outcomes Research Institute (PCORI),
Washington, DC
Keynote Lecture: "Moving from Big Data to Big Insights: Data Science as the Cornerstone of a Learning Health System”
- Program on Statistical, Mathematical and Computational Methods for Precision Medicine
· August 2018
National Scientific Meeting
Statistical & Applied Mathematical Sciences Institute,
North Carolina State University, Raleigh, NC
“Evidence and the Individual Patient: Understanding Heterogeneous Treatment Effects (HTE) for Patient- Centered Care”
· May 2018
National Scientific Meeting
The National Academy of Medicine & Tufts Predictive Analytics Comparative Effectiveness Center,
Washington, DC
"Data Science as a Cornerstone of a Learning Health System"
· May 2018
National Scientific Meeting
The Data Science Conference,
Chicago, IL
"Machine Learning in Healthcare" Moderator
- 2018 Health Datapalooza
· April 2018
National Scientific Meeting
Academy Health,
Washington, DC
“Does Machine Learning Have a Place In a Learning Health System?”
- NIH Collaboratory Grand Rounds
· December 2017
National Scientific Meeting
Duke Clinical Research Institute,
Durham, NC
“Moving from Big Data to Big Insights”
- 2017 Scientific Sessions
· November 2017
National Scientific Meeting
American Heart Association,
Anaheim, CA
“How Can Prediction Models Help Tailor Individual and Population Care?”
- 77th Scientific Sessions
· June 2017
National Scientific Meeting
American Diabetes Association,
San Diego, CA
“Neuroscience Trials of the Future – Statistical Considerations”
- Institute of Medicine Workshop
· March 2016
Instructional Course, Workshop, or Symposium
U.S. National Academy of Sciences,
Washington, DC
Keynote, Richard D. Remington Methodology Lecture: "The Art and Science of Developing and Evaluating Risk Prediction Models”
- 2016 Scientific Sessions
· March 2016
Keynote/Named Lecture
American Heart Association, Council on Epidemiology and Prevention,
Phoenix, AZ
“Individual Trials versus Pooling Across Trials: A Preferred Approach for ‘Truth’ ”
- 2015 Scientific Sessions
· November 2015
National Scientific Meeting
American Heart Association,
Orlando, FL
“New U.S. Lipid Guidelines: Main Advances and Open Questions”
- Distinguished Professor Program Series
· June 2015
International Meeting or Conference
The Mazankowski Alberta Heart Institute, University of Alberta,
Edmonton, Alberta, Canada
“Challenges of Surrogate Outcomes"
- 2014 Scientific Sessions
· November 2014
National Scientific Meeting
American Heart Association,
Chicago, IL
“Is There a Universe Beyond Sensitivity and Specificity in Evaluation of Diagnostic and Prognostic Performance?”
- Joint Statistical Meeting Session
· August 2014
National Scientific Meeting
American Statistical Association,
Boston, MA
“Interpreting Incremental Value of Biomarkers”
· November 2013
Visiting Professorship Lecture
Vanderbilt University,
Nashville, TN
“Discrimination and Reclassification”
- 30th Beckman Conference, Statistics and Study Design Session
· November 2013
National Scientific Meeting
AACC/ASN,
Atlanta, GA
“How to Improve Assessment of Cardiovascular Risk”
- Rene Robaire Memorial Lecture in Cardiovascular Research
· May 2013
Visiting Professorship Lecture
McGill University,
Montreal, Canada
“Interpreting Incremental Value of Risk Prediction Models”
· November 2012
Visiting Professorship Lecture
University of Alabama,
Birmingham, AL
“Assessment of Improvement in Model Performance and Value of New Markers”
- Workshop on Risk Prediction
· November 2012
International Meeting or Conference
University of Cambridge,
Cambridge, UK
“How to Improve Cardiovascular Disease Risk Assessment”
- 2012 Annual Symposium
· August 2012
International Meeting or Conference
European Society of Cardiology,
Munich, Germany
“How to Interpret Improvement in Risk Prediction Models”
· June 2012
International Meeting or Conference
Society for Epidemiologic Research,
Minneapolis, MN
Keynote Lecture: "Integrating Lifecourse Data into Risk Prediction Algorithms”
- 2012 Netherlands Epidemiologic Conference
· June 2012
International Meeting or Conference
WEON, Dutch Society for Epidemiologic Research,
Rotterdam, The Netherlands
“Improving Signal Detection in CNS Trials”
- Investing and Partnering Conference
· May 2012
National Scientific Meeting
Neurotech,
Boston, MA
"Risk Reclassification Workshop"
- Quality Control and Outcomes Research Conference
· March 2012
National Scientific Meeting
American Heart Association,
Atlanta, GA
"Discrimination and Reclassification"
- 2012 Scientific Sessions
· March 2012
National Scientific Meeting
American College of Cardiology,
Chicago, IL
“How to Build and Interpret Risk Prediction Models”
- Imaging Seminar Series
· February 2012
Instructional Course, Workshop, or Symposium
Brigham and Women's Hospital,
Boston, MA
“Lifetime Risk of Dyslipidemia”
- 1st Conference
· September 2011
International Meeting or Conference
Polish Lipid Association,
Warsaw, Poland
“Pioneering the Concept of Cardiovascular Risk to Modern Risk Function”
- 10 Days of Hypertension & Diabetes
· May 2011
International Meeting or Conference
Gdansk, Poland
“Novel Methods for Quantifying Improvement in Risk Prediction”
- Biostatistics Seminar Series
· January 2011
Instructional Course, Workshop, or Symposium
Duke University,
Durham, NC
“Statistical Techniques to Assess Novel Biomarkers: Beyond the ROC Curve”
- 2010 Scientific Sessions
· November 2010
National Scientific Meeting
American Heart Association,
Chicago, IL
“Issues in Developing and Improving Risk Prediction Models”
- Seminar Series
· September 2010
International Meeting or Conference
Hannover Medizinische HochSchule (Hannover Medical School),
Hannover, Germany
“Development of Framingham Cardiovascular Risk Prediction Algorithms”
- Workshop on Computational Cardiovascular and Cardiopulmonary Dynamics
· March 2009
National Scientific Meeting
National Heart, Lung, and Blood Institute + Virginia Commonwealth University,
Richmond, VA
“Issues in Development & Validation of Risk Prediction Models”
· February 2009
Instructional Course, Workshop, or Symposium
Joslin Diabetes Center,
Boston, MA
“Quantifying Improvement in Risk Prediction Models”
- Biostatistics Department Seminar Series
· February 2009
Instructional Course, Workshop, or Symposium
Harvard School of Public Health,
Boston, MA
“Assessing Additional Value of New Biomarkers”
- Genetic Risk Prediction Workshop
· November 2008
Instructional Course, Workshop, or Symposium
Harvard School of Public Health,
Boston, MA
“Measuring the Accuracy of Prediction Models”
- Quantitative Health Sciences International Symposium
· September 2008
International Meeting or Conference
Cleveland Clinic,
Cleveland, OH
“Keynote Lecture, Bridging the Gaps: New Trends in Women’s Health”
- Enhancing Partnerships to Improve Women’s Health Conference
· March 2006
Keynote/Named Lecture
Princeton, NJ
Service to the Profession
Co-Founder
·
2024
- 2029
Committee Service
Trustworthy & Responsible AI Network (TRAIN),
The Trustworthy and Responsible AI Network (TRAINTM) is dedicated to operationalizing responsible AI principles to enhance the quality, safety, and trustworthiness of AI applications in health care.
Co-Founder & Board Member
- Coalition for AI Health
·
2024
- 2030
Committee Service
CHAI,
Dr. Michael Pencina co-founded and co-leads 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 adoption of credible, fair, and transparent health AI systems.
Statistical Consultant
·
2015
- 2025
Consulting
Journal of the American Medical Association,
Deputy Editor for Statistics
·
2015
- 2025
Editorial Activities
JAMA-Cardiology,
Associate Editor
·
2012
- 2023
Editorial Activities
Statistics in Medicine,
Assistant Editor
·
2007
- 2011
Editorial Activities
Statistics in Medicine,
Academic & Administrative Activities
Reviewer for Medical and Statistical Journals
- American Journal of Epidemiology
- Archives of Internal Medicine
- Biometrics
- Biostatistics
- Circulation
- Journal of the American Dietetic Association
- New England Journal of Medicine