Portrait of Yue Li

Yue Li

Associate Academic Member
Assistant Professor, McGill University, School of Computer Science
Research Topics
Computational Biology

Biography

I completed my PhD degree in computer science and computational biology at the University of Toronto in 2014. Prior to joining McGill University, I was a postdoctoral associate at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT (2015–2018).

In general, my research program covers three main research areas that involve applied machine learning in computational genomics and health. More specifically, it focuses on developing interpretable probabilistic learning models and deep learning models to model genetic, epigenetic, electronic health record and single-cell genomic data.

By systematically integrating multimodal and longitudinal data, I aim to have impactful applications in computational medicine, including 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.

Current Students

Postdoctorate - McGill University
PhD - McGill University
Master's Research - McGill University
Master's Research - McGill University
PhD - McGill University
Principal supervisor :
PhD - McGill University
Master's Research - McGill University
Principal supervisor :
PhD - McGill University
Master's Research - McGill University
Co-supervisor :
PhD - McGill University
Master's Research - McGill University
PhD - McGill University
Master's Research - McGill University
PhD - McGill University

Publications

The default network of the human brain is associated with perceived social isolation
R. Nathan Spreng
Emile Dimas
Laetitia Mwilambwe-Tshilobo
Alain Dagher
Philipp Koellinger
Gideon Nave
Anthony Ong
Julius M Kernbach
Thomas V. Wiecki
Tian Ge
Avram J. Holmes
B.T. Thomas Yeo
Gary R. Turner
Robin I. M. Dunbar
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model
Pratheeksha Nair
Zhi Wen
Imane Chafi
Anya Okhmatovskaia
Guido Powell
Yannan Shen