Associate Professor at the School of Computer Science, McGill University
Dr. Yue Li completed his Ph.D. in Computer Science and Computational Biology at the University of Toronto in 2014. Prior to joining McGill University, he was a postdoctoral associate at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT from 2015 to 2018.
His research program spans three main areas, all involving the application of machine learning in computational genomics and health. Specifically, it focuses on developing interpretable probabilistic learning models and deep learning models to analyze genetic, epigenetic, electronic health record, and single-cell genomic data.
By systematically integrating multimodal and longitudinal data, Dr. Yue Li aims to make impactful contributions to computational medicine. His work includes building intelligent clinical recommender systems, forecasting patient health trajectories, making personalized polygenic risk predictions, characterizing multi-trait functional genetic mutations, and dissecting cell-type-specific regulatory elements that underpin complex traits and diseases in humans.
