Archer Yang
Biography
I am an Associate Professor in the Department of Mathematics and Statistics at McGill University, with affiliations as an Associate Member of the School of Computer Science and the Quantitative Life Science program.
My research spans three interconnected themes: statistical machine learning, applications in drug discovery and computational genomics and healthcare. In statistical machine learning, I focus on developing dimensionality reduction, probabilistic models and causality-inspired methods to address complex high-dimensional data challenges. In drug discovery, my work involves developing machine learning models to accelerate drug candidate identification and enhance the understanding of drug efficacy and safety. In computational genomics and healthcare, I develop techniques to analyze genomic data, identify biomarkers, and explore the genetic basis of diseases, with the goal of improving precision medicine and predicting patient outcomes. My overarching goal is to bridge advanced data-driven methodologies with impactful applications in pharmacology, genomics and healthcare.
For prospective graduate students interested in working with me, please apply to both Mila - Quebec Artificial Intelligence Institute and the Department of Mathematics and Statistics at McGill. Alternatively, applicants may consider co-supervision opportunities with advisors from the computer science program at McGill.