Selected Presentations & Appearances
“Beyond the Black Box: Using Machine Learning (ML) to Understand Causality”
- 2019 Scientific Sessions
· November 2019
International Meeting or Conference
American Heart Association,
Philadelphia, PA
“Informatics-Enabled Learning Health Systems: Strategies for Success from 4 Academic Medical Centers”
- 2019 Annual Symposium
· November 2019
International Meeting or Conference
American Medical Informatics Association,
Washington, DC
"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
"Getting the Most Out of Your Data"
- Community of Scholars Conference
· October 2019
Lecture
Duke University Office of Scientist Development,
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
“Beyond the Black Box: Using Machine Learning (ML) to Understand Causality”
- 2019 Scientific Sessions
· November 2019
International Meeting or Conference
American Heart Association,
Philadelphia, PA
“Informatics-Enabled Learning Health Systems: Strategies for Success from 4 Academic Medical Centers”
- 2019 Annual Symposium
· November 2019
International Meeting or Conference
American Medical Informatics Association,
Washington, DC
"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
"Getting the Most Out of Your Data"
- Community of Scholars Conference
· October 2019
Lecture
Duke University Office of Scientist Development,
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
International Meeting or Conference
American Heart Association,
Chicago, IL
“Fusion of Quantitative Methods to Support Learning”
- Precision Medicine World Conference 2018
· September 2018
Instructional Course, Workshop, or Symposium
Duke University,
Durham, NC
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
“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
“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
International Meeting or Conference
American Heart Association,
Anaheim, CA
“How Can Prediction Models Help Tailor Individual and Population Care?”
- 77th Scientific Sessions
· June 2017
International Meeting or Conference
American Diabetes Association,
San Diego, CA
Keynote, Richard D. Remington Methodology Lecture: "The Art and Science of Developing and Evaluating Risk Prediction Models”
- 2016 Scientific Sessions
· March 2016
International Meeting or Conference
American Heart Association, Council on Epidemiology and Prevention,
Phoenix, AZ
“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
“Individual Trials versus Pooling Across Trials: A Preferred Approach for ‘Truth’ ”
- 2015 Scientific Sessions
· November 2015
International Meeting or Conference
American Heart Association,
Orlando, FL
“New U.S. Lipid Guidelines: Main Advances and Open Questions”
- Distinguished Professor Program Series
· June 2015
Visiting Professorship Lecture
The Mazankowski Alberta Heart Institute, University of Alberta,
Edmonton, Alberta, Canada
“Challenges of Surrogate Outcomes"
- 2014 Scientific Sessions
· November 2014
International Meeting or Conference
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
International Meeting or Conference
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
“Assessment of Improvement in Model Performance and Value of New Markers”
- Workshop on Risk Prediction
· November 2012
Instructional Course, Workshop, or Symposium
University of Cambridge,
Cambridge, UK
“Interpreting Incremental Value of Risk Prediction Models”
· November 2012
Visiting Professorship Lecture
University of Alabama,
Birmingham, AL
“How to Improve Cardiovascular Disease Risk Assessment”
- 2012 Annual Symposium
· August 2012
International Meeting or Conference
European Society of Cardiology,
Munich, Germany
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
“How to Interpret Improvement in Risk Prediction Models”
· June 2012
International Meeting or Conference
Society for Epidemiologic Research,
Minneapolis, MN
“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
International Meeting or Conference
American Heart Association,
Atlanta, GA
"Discrimination and Reclassification"
- 2012 Scientific Sessions
· March 2012
International Meeting or Conference
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
International Meeting or Conference
American Heart Association,
Chicago, IL
“Issues in Developing and Improving Risk Prediction Models”
- Seminar Series
· September 2010
Visiting Professorship Lecture
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 & 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.
Deputy Editor for Statistics
·
2015
- 2025
Editorial Activities
JAMA-Cardiology,
Statistical Consultant
·
2015
- 2025
Consulting
Journal of the American Medical Association,
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