Sam Margolis

Medical AI, cardiovascular medicine, and computational biomedical research

Sam Margolis is a physician-in-training and computer scientist working at the intersection of medical artificial intelligence, cardiovascular medicine, and biomedical research. He is a Sarnoff Fellow conducting research at Stanford University and an MD candidate at the David Geffen School of Medicine at UCLA. His scholarly publications appear under Samuel Margolis and Samuel J. Margolis.

ResearchPublicationsProjectsFor fun

Projects

DrugTargetWorld

Simulated biobanks for training and grading AI scientists. First author.

OpenScribe

Open-source, self-hostable AI medical scribe. Founder.

Selected publications

• DrugTargetWorld: A Synthetic Biobank for Training and Benchmarking AI Scientists
  arXiv, 2026
• Triage and Referral Behavior Across Patient-Facing Medical AI Products
  medRxiv, 2026
• Patient-reported outcomes in clinical trials leading to breast cancer drug approvals: are we making them count?
  Breast Cancer Research and Treatment, 2026
• Benchmarking proprietary and open-source language and vision-language models for gastroenterology clinical reasoning
  npj Digital Medicine, 2025
• Rapid prediction of acute thrombosis via nanoengineered immunosensors with unsupervised clustering for multiple circulating biomarkers
  Science Advances, 2024

All 21 publications

Affiliations

Stanford University · UCLA David Geffen School of Medicine · Sarnoff Cardiovascular Research Foundation · npj Digital Medicine

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