Scholar
Michael Moor
Google Scholar ID: Q_Y5csgAAAAJ
MD, PhD. Assistant Professor at ETH Zurich. Previously: Stanford, Computer Science.
Citations & Impact
Citations
5,158
H-index
21
i10-index
25
Publications
20
Co-authors
22
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including one on retrieval-augmented language models for medicine in NEJM AI and another on foundation models for generalist medical AI in Nature; Invited to speak at NASA Ames Research Center; Gave keynote presentations at various conferences.
Research Experience
- Appointed as a tenure-track assistant professor for medical AI at ETH Zurich (D-BSSE) since late 2024. Previously, he did a postdoc at Stanford University.
Education
- Did a postdoc at Stanford University in the Computer Science department, under Prof. Jure Leskovec.
Background
- MD, PhD who is excited about machine learning in healthcare. His research focuses on developing and evaluating large-scale medical foundation models, with the ultimate vision to unlock generalist models for medical AI.
Miscellany
- Personal interests and hobbies not mentioned.
