Dr. Pascal Geldsetzer is an Assistant Professor of Medicine in the Division of Primary Care and Population Health and, by courtesy, in the Department of Epidemiology and Population Health. He is also affiliated with the Department of Biomedical Data Science, Department of Health Policy, King Center for Global Development, and the Stanford Centers for Population Health Sciences, Innovation in Global Health, and Artificial Intelligence in Medicine & Imaging.

The broad objective of Dr. Geldsetzer group's research is to improve population health through the application of novel methodological approaches in large existing datasets. One stream of their work applies novel approaches for causal inference in large electronic health record datasets to determine the real-life effectiveness of common clinical interventions, including medication effectiveness. A second stream applies deep learning techniques in satellite imagery with the aim of monitoring health indicators in low- and middle-income country settings. A third stream uses data from mega-cohorts to better understand the relationship between salt intake and health outcomes.