Danyal R.
5.0
(2)
Studied at Massachusetts Institute of Technology
Works at MilaQuebec
Available tomorrow at 6:30 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
PhD Candidate
Massachusetts Institute of Technology
October 2018 - March 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
October 2022 - December 2023
Advisor: Yann LeCun Self-supervised learning with Lie point symmetries for partial differential equations
AI/ML Fellow
Flagship Pioneering
July 2023 - August 2023
Deep learning for venture creation in the sustainable chemistry and drug discovery space
Graduate Research Assistant
Massachusetts Institute of Technology
October 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
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
Undergraduate Research Assistant
University of Toronto
October 2016 - December 2016
Density functional theory (DFT) for quantum simulations to optimize biofuel production from CO₂
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
2 Reviews
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