Danyal Rehman
Postdoctoral Researcher at Broad Institute of MIT and Harvard
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolDanyal Rehman is a Banting Postdoctoral Researcher at Mila and a visiting researcher at the Broad Institute, leveraging 13 years of experience at the intersection of generative AI, physics-informed deep learning, and computational science. He earned a Ph.D. from MIT where he advanced multi-ionic transport models and self-supervised PDE learning, and his work has translated to field-validated models and rapid reduced-order solvers used in real-world energy and fluid systems. Danyal focuses on generative AI for materials and drug discovery, combining active learning with constraints for synthesizable molecular design. He has industry experience from Flagship Pioneering and Pratt & Whitney and a strong track record in bridging high-fidelity physics models with scalable ML solutions. Notably, his research produced model predictions within 4% of experiments across multiple African field trials and engineered CFD approximations two orders of magnitude faster than full simulations.
13 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mechanical Engineering and Computational Science, Doctor of Philosophy (Ph.D.) Mechanical Engineering and Computational Science at Massachusetts Institute of TechnologyBachelor of Applied Science (B.A.Sc.) with High Honours Mechanical Engineering, Bachelor of Applied Science (B.A.Sc.) with High Honours Mechanical Engineering at University of Toronto
English, urdu/hindi, French
Stackoverflow
1reputation
0reached
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Programming languages (1)
Github contributions (5)
danyalrehman/Python-Autonomous_Vehicle_Simulations
Aug 2013 - Aug 2013
Contributions:13 commits in 7 days
danyalrehman/Java-Compiler
Mar 2013 - Aug 2013
Contributions:13 commits in 4 months
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