Kevin Y Wu
Scholar

Kevin Y Wu

Google Scholar ID: s4dCi5sAAAAJ
Graduate Student, Stanford University
Healthcare AILLMsMachine LearningRegulation of AI
Citations & Impact
All-time
Citations
1,664
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
2
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers, such as 'MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports' (preprint), 'ClashEval: Quantifying the Tug-of-War Between an LLM's Internal Prior and External Evidence' (NeurIPS 2024), 'An automated framework for assessing how well LLMs cite relevant medical references' (Nature Communications 2025), etc. Participated in research projects like 'Regulating AI Adaptation: An Analysis of AI Medical Device Updates' (CHIL 2024) and 'Characterizing the Clinical Adoption of Medical AI Devices through U.S. Insurance Claims' (NEJM AI).
Research Experience
  • Co-founder at Deep Health; PhD research at Stanford University, projects include MedCaseReasoning, ClashEval, SourceCheckup, etc.
Education
  • Completed Master's degree at Harvard University in 2018; Bachelor's degree at Duke University in 2015; Currently a PhD student at Stanford University, advisor is James Zou.
Background
  • A 5th year PhD at Stanford University working with Prof. James Zou. My research focuses on developing safe and effective AI for healthcare, and has been supported by the Stanford Data Science Scholars program. Before my PhD, I helped start Deep Health, a health AI company.
Miscellany
  • Personal interests not mentioned