About me

I am an Assistant Professor at the University of Calgary in the Department of Mathematics & Statistics. My research interests are at the intersection of machine learning and operations research. I am focused on developing efficient data-driven algorithms for complex decision-making problems, particularly in settings involving discrete decisions, uncertainty, and multiple decision-makers, with applications in logistics, transportation, and healthcare.

I completed my Ph.D. in Mechanical and Industrial Engineering Department at the University of Toronto under the supervision of Elias Khalil. Prior to my Ph.D., 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. I worked in industry for one year as a Machine Learning Research Intern at Borealis AI on applied machine learning projects.

Research Areas: Operations Research, Integer Programming, Stochastic Programming, Robust Optimization, Optimization Under Uncertainty, Machine Learning

Prospective Students: I am recruiting Master’s and Ph.D. students to start in Fall 2026. Please reach out with your CV and transcripts by email if interested.