Explainable AI for Computational Biology and Medicine
Our lab develops various computational biology approaches using AI and ML for a broad spectrum of applications from basic biology to bedside applications, in addition to fundamental AI and machine learning research.
Research keywords:
Computational biology & medicine - precision medicine, systems biology, & genetics
Machine learning - explainable AI, interpretability, feature selection, & probabilistic graphical models
Recent Invited Talks: Stanford University (upcoming), Harvard T.H. Chan School of Public Health (upcoming), Harvard/MGH Center for Systems Biology (upcoming), CMU Machine Learning Seminar Series (upcoming), Computational Genomics Summer Institute, MIT Bioinformatics Seminar (May 2019), UCLA Bioinformatics Seminar, Keynote Speech at Northwest Database Society meeting (talk), Keynote Speech at AAAI workshop, Precision Medicine World Conference 2019, and more
Selected Talks
AI & Precision Medicine - UW Medicine "Science in Medicine" lecture
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