Dr. Pascal Geldsetzer

Assistant Professor

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Biography

Pascal Geldsetzer is an Assistant Professor in the Department of Medicine at Stanford University, focusing on Primary Care Population Health and courtesy faculty in the Department of Epidemiology and Population Health. His research aims to identify and evaluate effective health interventions for older populations. He leads randomized trials and employs methodological approaches to discern causal effects from large observational datasets, with a particular focus on electronic health records. He has received notable accolades, including the NIH New Innovator Award and the Chan Zuckerberg Biohub investigatorship in 2022. Pascal completed his PhD at Harvard University in 2018, after earning his MPH in 2012 and MD in 2011 from the University of Edinburgh. He is actively engaged in various research initiatives, including community health worker-led intervention studies in Bangladesh and healthcare reform trials in Eswatini to enhance primary care services. His expertise extends to teaching courses related to epidemiology and health policy, contributing significantly to Stanford's research and academic environment.

Research Interests

Experience

Assistant Professor

2020-01-01 — Present

Stanford University • Stanford, CA

Teaching and conducting research in the field of Primary Care Population Health.

Awards

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NIH New Innovator Award

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Chan Zuckerberg Biohub Investigator

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Young Investigator Award

Courses

HRP 299 EPI 399 HRP 399 HRP 370 MED 370 EPI 199 MED 199 EPI 246

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.