Danyal R.
5.0
(2)
AI PhD @ MIT | Banting Fellow @ Mila & Harvard | Coached 50+ students
Studied at Massachusetts Institute of Technology
Works at MilaQuebec
Available tomorrow at 12:00 PM UTC
Questions? Start chatting with this coach before you get started.
Danyal's Coaching Offerings
Custom hourly · $69/hr
Get help with Financial Aid & Scholarships, Editing, and .
Danyal also coaches for PhD Programs, Fellowship & Postdocs Programs, and Prestigious Scholarships & Fellowships. View all.
Danyal’s Master’s Programs Qualifications
Coaches professionally
50+ people coached for Master’s Programs
Through my 5 years at the MIT Communication Lab, I have coached over 50 students on applying for graduate studies (MS and PhD). Many of my students have been admitted into the top programs, which include MIT, Harvard, Stanford, Caltech, Oxbridge, etc. I'm very familiar with the application process, the essays required, and the narrative necessary to craft a compelling application.
Danyal can help with:
Financial Aid & Scholarships
Editing
Interviews
School Selection
Secondary Review
Application Strategy
Essays
Resume
Letters of Recommendation
Danyal also coaches for PhD Programs, Fellowship & Postdocs Programs, and Prestigious Scholarships & Fellowships. View all.
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
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 2022 - December 2023
Advisor: Yann LeCun Self-supervised learning with Lie point symmetries for partial differential equations
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 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
September 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
Overall Rating