We are a highly interdisciplinary group with a diverse set of research interests that span various areas of medicine and public health. These interests include i) the use of novel causal inference techniques in electronic health record data to assess the real-life effectiveness of clinical (e.g., medications), behavioral, and health services interventions; ii) deep learning in satellite imagery and other publicly available geotagged data sources to monitor health indicators in low- and middle-income countries; iii) the re-analysis of clinical trial data to gain novel insights; and iv) randomized trials and analysis of household surveys in low- and middle-income countries to improve population health (with a focus on chronic conditions, particularly cardiovascular disease risk factors).
All Postdocs. All the Time.
Pascal Geldsetzer
Stanford Departments and Centers:
Med: Primary Care and Population Health
Epidemiology and Population Health
Person Title:
Assistant Professor
