معرفی
Prof. Michael Moor is a tenure-track Assistant Professor for Medical AI at ETH Zurich's Department of Biosystems Science and Engineering in Basel. Previously, he conducted postdoctoral research at Stanford University under Prof. Jure Leskovec, focusing on medical foundation models. His work spans causal learning, multimodal AI, and sepsis prediction. Moor holds an MD from the University of Basel and a PhD from ETH Zurich's Machine Learning and Computational Biology Lab under Prof. Karsten Borgwardt.
Research Interests:
- Generalist medical AI models
- Multimodal medical reasoning
- Zero-shot and few-shot learning
- Clinical causal inference
- Retrieval-augmented language models
- Sepsis prediction systems
Key Achievements:
- Published foundational work in Nature (2023) on generalist medical AI
- Developed Med-Flamingo multimodal model (2023)
- Zero-shot causal learning framework accepted to NeurIPS 2023 (Spotlight)
- International sepsis prediction study with 156k ICU patients (2023)
Lab Activities: Leads ETH's Medical Foundation Models group, collaborating with Stanford HAI and NASA Ames. Active in creating medical AI benchmarks like AgentClinic and developing retrieval-augmented systems like Almanac.
