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Rafid Mahmood

I am a Postgraduate Researcher with NVIDIA AI. I recently completed my PhD at the Department of Mechanical and Industrial Engineering, before which I completed my MASc and BASc at the Department of Electrical and Computer Engineering, all at the University of Toronto.

My research interests span deep learning, data-driven optimization, and information theory. I have worked on personalized healthcare, portfolio optimization, and real-time error correction codes. Outside of research, I have also worked on sports analytics and quantitative finance applications.

I am also an avid traveller. In 2017, I completed a personal milestone of traveling to every continent (not including Antarctica). My current wish list of future destinations include Azerbaijan and South Africa.

News

Oct 6, 2020 Our paper An ensemble learning framework for model fitting and evaluation in in inverse linear optimization was accepted at the INFORMS Journal on Optimization!
Aug 24, 2020 I am starting a one-year residency at the NVIDIA Toronto AI Lab!
Aug 5, 2020 I successfully defended my PhD!