Danyal Rehman
5.0
(3)
3,165 min coached
34 followers
Studied at Massachusetts Institute of Technology
Works at MilaQuebec
Successful clients at
Available today at 10:30 PM UTC
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Work Experience
Banting Postdoctoral Fellow
MilaQuebec
July 2024 - Present
Advisor: Yoshua Bengio Generative artificial intelligence and geometric deep learning for materials and drug discovery
Visiting Researcher
Broad Institute
March 2024 - Present
Advisor: James Collins; Eric and Wendy Schmidt Center & Harvard Medical School Generative artificial intelligence and active learning for synthesizable molecular discovery
AI/ML Fellow
Flagship Pioneering
June 2023 - August 2023
Deep learning for venture creation in the sustainable chemistry and drug discovery space
Graduate Research Assistant
Massachusetts Institute of Technology
September 2022 - December 2023
Advisor: Yann LeCun Self-supervised learning with Lie point symmetries for partial differential equations
PhD Candidate
Massachusetts Institute of Technology
September 2018 - February 2024
Advisor: John Lienhard Physics-informed deep learning to improve the accuracy and generalizability of multi-ionic transport models for critical metals
Graduate Research Assistant
Massachusetts Institute of Technology
September 2018 - October 2019
Advisor: Leon Glicksman Modelled evaporation-driven heat and mass transfer from wetted surfaces; model predictions were within 4% of experimental measurements across field trials in Mali, Kenya, Rwanda, and Burkina Faso
Undergraduate Research Assistant
University of Toronto
September 2016 - December 2016
Density functional theory (DFT) for quantum simulations to optimize biofuel production from CO₂
Research Associate
University of Toronto
August 2015 - January 2018
High-speed numerical Navier-Stokes solvers to rapidly model wind turbine wakes on complex terrain; reduced-order models solved 2 orders of magnitude faster than full CFD simulations with errors of 5-7%
Undergraduate Research Assistant
University of Toronto
May 2015 - August 2017
Natural Sciences & Engineering Research Council (NSERC) Award Computational fluid dynamics (CFD) methods for turbulent flow around hydro turbines
Education
Massachusetts Institute of Technology
Doctor of Philosophy (Ph.D.), Mechanical Engineering and Computational Science
2018 - 2024
Grade: 5.00/5.00
University of Toronto
Bachelor of Applied Science (B.A.Sc.) with High Honours, Mechanical Engineering
2012 - 2017
Ranked 1st in Class of 189
3 Reviews
Overall Rating
5.0
Knowledge
5.0
Value
5.0
Responsiveness
5.0
Supportiveness
5.0
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