Research
Selected Talks
Selected Talks
AI & Precision Medicine - UW Medicine
Interpretable ML in Precision Medicine - UW AI Seminar
Interpretable Machine Learning for Precision Medicine
- Selected as the best talk at Computational Genomics Winter Institute (CGWI) 2018
Explainable AI for Biology and Precision Medicine
Explainable AI for Biology and Precision Medicine
Lee Lab develops novel machine learning algorithms applied to a broad spectrum of applications from basic science to bedside applications, in addition to fundamental machine learning research.
Ongoing Projects
Ongoing Projects
- Developing interpretable ML principles, techniques, and theories
- Developing interpretable deep learning techniques for genomic, and multi-omic data
- Developing interpretable deep learning to understand protein folding (collaboration with Institute for Protein Design)
- Enabling precision cancer medicine and drug development (collaboration with Hematology, and Center for Cancer Innovation)
- Seeking cure for Alzheimer's disease (with Pathology, Neuropathology, and Internal Medicine)
- Predicting kidney diseases (with Kidney Research Institute)
- Enabling efficient pre-hospital prediction for trauma patients (with Emergency Medicine)
- Bringing ML to operating rooms (with Anesthesiology & Pain Medicine)
- Making medical examinations more efficient (with School of Dentistry, and Global Health)