About me

I am a fourth-year Ph.D. candidate in the Mechanical and Industrial Engineering Department at the University of Toronto under the supervision of Elias Khalil. I completed my MASc in Applied Mathematics under the supervision of Andrea Lodi and Emma Frejinger at Polytechnique Montréal and my BMath in Computer Science and Combinatorics & Optimization from the University of Waterloo. Before my Master’s, I worked for one year as a Machine Learning Research Intern at Borealis AI on NLP and time series prediction projects.

Research

My research interests are at the intersection of machine learning and operations research. My PhD research has focused on the development of data-driven algorithms to address complex discrete optimization problems. Specifically, I have developed efficient data-driven algorithms to address challenging optimization problems in stochastic programming, robust optimization, and bilevel optimization, with applications in domains such as logistics, transportation, and healthcare.

I’m on the academic job market