Gary Weissman, MD, MSHP



Gary Weissman, MD, MSHP

Assistant Professor, Pulmonary and Critical Care Medicine and Informatics

Gary Weissman, MD, MSHP is an Assistant Professor in Pulmonary and Critical Care Medicine in the Department of Medicine at the University of Pennsylvania Perelman School of Medicine. He is a physician specializing in critical care medicine and cares for people in the medical intensive care unit at the Hospital of the University of Pennsylvania.

Dr. Weissman’s primary research group is the Palliative and Advanced Illness Research (PAIR) Center, where he uses clinical informatics methods to address population health management for patients with chronic lung diseases and with other serious illnesses. His research is focused on the development of effective, equitable, and transparent clinical informatics tools that improve care processes and patient outcomes. His lab uses machine learning, artificial intelligence, social network analysis, natural language processing, and traditional causal inference methods to shepherd the development of informatics tools to the bedside. His work also intersects and engages with current federal and local policies governing the regulation of predictive clinical decision support systems.

Dr. Weissman received his medical degree from the Sidney Kimmel Medical College at Thomas Jefferson University, and completed a residency in internal medicine at the Hospital of the University of Pennsylvania. During his residency, he trained in both the Primary Care and Global Health Tracks, which included clinical work at the Penn Refugee Clinic and Puentes de Salud in Philadelphia, and at the Princess Marina Hospital in Gaborone, Botswana. He then completed a fellowship in Pulmonary and Critical Care Medicine at the Hospital of the University of Pennsylvania, during which time he also received his Master’s of Science in Health Policy Research. Prior to medical school, he worked as a technology strategy consultant for non-profit organizations in Philadelphia, as the founder of a rural internet cafe in El Salvador, and as a research consultant at the Perelman School of Medicine.

Content Area Specialties

Critical care medicine, pulmonary diseases, general internal medicine

Methodology Specialties

Clinical informatics, natural language processing, machine learning, social network analysis

About Us

To understand health and disease today, we need new thinking and novel science —the kind  we create when multiple disciplines work together from the ground up. That is why this department has put forward a bold vision in population-health science: a single academic home for biostatistics, epidemiology and informatics. 

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