Meet the 2017 Presenters

We are proud to announce  some of the presenters for this year’s symposium:

Jon Duke, MD, MS
Senior Scientist and Director, Drug Safety Informatics Program
Regenstrief Institute

Dr. Duke is Chief Innovation Officer and Senior Research Scientist at the Regenstrief Center for Biomedical Informatics. He directs Regenstrief’s Drug Safety Informatics Lab and leads the Merck-Regenstrief Partnership for Healthcare Research and Innovation. Dr. Duke graduated from Harvard Medical School and completed his residency in internal medicine at Brigham and Women’s Hospital. He completed a National Library of Medicine fellowship in Medical Informatics and holds a master’s in Human-Computer Interaction. He is also fluent in Japanese and served as Fulbright Scholar to Japan.

Dr. Duke’s research focuses on applications of big data and human computer interaction to support medication safety. His projects range from predictive modeling of adverse drug events to advanced clinical decision support systems. He has spoken at the FDA on multiple occasions and has received an award for his research on visualization of drug safety information. Dr. Duke has also overseen the development of Regenstrief Institute’s next-generation EMR system and has spoken nationally and internationally on innovation in EMRs. Dr. Duke has been awarded over $15 million in grants and contracts from sources including the National Institutes of Health, National Science Foundation, and pharmaceutical and health IT industry partners. Dr. Duke’s research has resulted in numerous academic publications and been featured in a variety of popular media such as the New York Times, Consumer Reports, and National Public Radio.

George Hripcsak

George Hripcsak, MD, MS
Vivian Beaumont Allen Professor and Chair of Biomedical Informatics
Columbia University Medical Center

George Hripcsak, MD, MS, is Vivian Beaumont Allen Professor and Chair of Columbia University’s Department of Biomedical Informatics and Director of Medical Informatics Services for New York-Presbyterian Hospital/Columbia Campus. He is a board-certified internist with degrees in chemistry, medicine, and biostatistics. Dr. Hripcsak’s current research focus is on the clinical information stored in electronic health records and on the development of next-generation health record systems. Using nonlinear time series analysis, machine learning, knowledge engineering, and natural language processing, he is developing the methods necessary to support clinical research and patient safety initiatives. He led the effort to create the Arden Syntax, a language for representing health knowledge that has become a national standard, and he co-chaired the Meaningful Use Workgroup of HSS’s Office of the National Coordinator of Health Information Technology, which defined the criteria by which health care providers collect incentives for using electronic health records. Dr. Hripcsak chaired the National Library of Medicine’s Biomedical Library and Informatics Review Committee, and he is a fellow of the Institute of Medicine, the American College of Medical Informatics, and the New York Academy of Medicine. He has published over 250 papers.

Dr. Hripcsak serves as PI–with co-PI David Madigan–of OHDSI’s Coordinating Center, which is based at Columbia University. His recent pharmacovigilance research has included medication-wide association studies, which improve visualization and prediction by exploiting structural and functional relationships among medications, and next-generation phenotyping to better exploit electronic health record data for observational research.

Patrick RyanPatrick Ryan, PhD

Sr. Director and Head, Epidemiology Analytics
Janssen Research and Development

Patrick Ryan, PhD is Senior Director of Epidemiology and the Head of Epidemiology Analytics at Janssen Research and Development, where he is leading efforts to develop and apply analysis methods to better understand the real-world effects of medical products. He is currently a collaborator in Observational Health Data Sciences and Informatics (OHDSI), a multi-stakeholder, interdisciplinary collaborative to create open-source solutions that bring out the value of observational health data through large-scale analytics. He served as a principal investigator of the Observational Medical Outcomes Partnership (OMOP), a public-private partnership chaired by the Food and Drug Administration, where he led methodological research to assess the appropriate use of observational health care data to identify and evaluate drug safety issues.

Patrick received his undergraduate degrees in Computer Science and Operations Research at Cornell University, his Master of Engineering in Operations Research and Industrial Engineering at Cornell, and his PhD in Pharmaceutical Outcomes and Policy from University of North Carolina at Chapel Hill. Patrick has worked in various positions within the pharmaceutical industry at Pfizer and GlaxoSmithKline, and also in academia at the University of Arizona Arthritis Center.

Marc SuchardMarc Suchard, MD, PhD
Professor, Department of Biomathematics, David Geffen School of Medicine
University of California, Los Angeles

Dr. Suchard is in the forefront of high-performance statistical computing. He is a leading Bayesian statistician who focuses on inference of stochastic processes in biomedical research and in the clinical application of statistics. His training in both Medicine and Applied Probability help bridge the gap of understanding between statistical theory and clinical practicality. He has been awarded several prestigious statistical awards such as the Savage Award (2003), the Mitchell Prize (2006 and 2011), as well as an Alfred P. Sloan Research Fellowship (2007) in computational and molecular evolutionary biology and a Guggenheim Fellowship (2008) to further computational statistics. He recently received the Raymond J. Carroll Young Investigator Award (2011) for a leading statistician within 10 years post-Ph.D., and in 2013 he was honored with the Committee of Presidents of Statistical Societies (COPSS) Presidents’ Award for outstanding contributions to the statistics profession by a person aged 40 or under. He is an elected Fellow of the American Statistical Association.