Danyal Rehman
Postdoctoral Scientist @ Mila – Québec AI Institute / Visiting Researcher @ Broad Institute / Ph.D @ MIT
I’m an incoming postdoctoral associate at the Mila – Québec Artificial Intelligence Institute under Yoshua Bengio working on deep generative models for scientific discovery. I am currently a visiting researcher at the Broad Institute (under Jim Collins) developing AI models for antibiotic discovery.
Previously, I completed a joint Ph.D. in Mechanical Engineering and Computational Science & Engineering from the Massachusetts Institute of Technology (MIT). During that time, I was awarded fellowships from the Martin Family Society of Fellows for Sustainability and the Abdul Latif Jameel World Water and Food Systems Lab. Prior to that, I completed my undergraduate degree in Mechanical Engineering with High Honours from the University of Toronto.
My Ph.D. research centered around the development of physics-informed deep learning methods and accelerated partial differential equations (PDEs) solvers for diverse physics-based applications. Examples include developing attention-enhanced neural differential equations models for ion transport phenomena (under John H. Lienhard) and self-supervised learning (SSL) methods with Lie point symmetries for partial differential equations (under Yann LeCun). More recently, my interests have extended to combining deep generative models with physics-based priors for the natural sciences, with a particular focus on scientific discovery and out-of-distribution generalization.
In my spare time, I enjoy watching/playing football (long-term supporter of Arsenal F.C.) and bouldering/rock climbing both indoors and outdoors.
Contact: danyal [dot] rehman [at] gmail [dot] com
Links: Google Scholar / GitHub / LinkedIn / Twitter
announcements
Mar 1, 2024 | I joined the Broad Institute as a visiting scientist focused on generative AI for antibiotic discovery under Jim Collins! |
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Dec 21, 2023 | I successfully defended my Ph.D. from MIT! |
Jun 5, 2023 | I started an AI/ML Fellowship at Flagship Pioneering! #AI4Science |
Sep 1, 2022 | I was awarded a Martin Sustainability Fellowship ($100,000) for my research in AI for Science! |