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

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

  • 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)