Scholar
Michael Wornow
Google Scholar ID: rXYzcbcAAAAJ
Stanford University
Citations & Impact
Citations
1,563
H-index
14
i10-index
16
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Published several papers including 'Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching', 'MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks', and more, presenting at various international conferences.
Research Experience
- Played a key role in multiple research projects involving the application of large language models to medical tasks, evaluation of LLM agents on real-world enterprise tasks, etc.
Education
- Graduated summa cum laude from Harvard in 2020 with a double major in Computer Science and Statistics, supported by an NSF Graduate Research Fellowship and Stanford HAI Graduate Fellowship. Advised by Nigam Shah and Chris Ré.
Background
- PhD candidate in Computer Science at Stanford University. Research focus is on developing and operationalizing AI models in healthcare.
Miscellany
- Links to personal website, blog, and social media profiles