About me

Hi, I’m Jarrid! I’m currently a research Master’s student at Mila and the Université de Montréal where I’m supervised by Professors Yoshua Bengio and Sarath Chandar. Before joining Mila, I completed my undergraduate studies at the University of Michigan where I was a member of Barzan Mozafari’s lab.

My current research interests can broadly be summarized as the application of machine learning for humanitarian goals. I presently work on using active learning and graph representation learning to aid drug discovery, but I’m also interested in algorithmic fairness, optimization theory, and various topics in reinforcement learning. I also really like distributed systems (I spent my undergrad in a systems lab).

Publications

  • DEUP: Direct Epistemic Uncertainty Prediction
    Moksh Jain, Salem Lahlou, Hadi Nekoei, Victor Butoi, Paul Bertin, Jarrid Rector-Brooks, Maksym Korablyov, Yoshua Bengio
    Arxiv (2021) link

  • Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets Jarrid Rector-Brooks, Jun-Kun Wang, Barzan Mozafari AAAI (2019) link

Misc

Besides work, I live with my brilliant partner, our dog Ella, and our cat Clementine. I love hiking, listening to music, drumming (I’m nostalgic for my college marching band days), and playing video games. If you’ve got any questions, or would just like to chat, don’t hesitate to reach out!