Hadi Sotoudeh
Graduate Scholar At The STFC Centre For Doctoral Training In Data Intensive Science
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolHadi Sotoudeh is a PhD researcher and practitioner based in Cambridge who blends probabilistic deep learning with extragalactic astrophysics to extract physical insight from large sky surveys. With a decade of experience spanning Mila, the Ciela Institute, and Polymathic AI, he builds generative and physics-informed models for high-dimensional inference and accelerates astrophysical simulations with transformer architectures. He supervises and teaches MPhil courses in machine and deep learning for data-intensive science while researching cross-modal foundation models for astronomy. Hadi’s work connects galaxy formation to cosmology through principled probability theory, and he prioritises inclusive academic spaces and mental well-being alongside technical impact. An unusual strength is his simultaneous fluency in GPU-accelerated simulation code and probabilistic foundation-model research, enabling both scalable experiments and interpretable scientific conclusions.
10 years of coding experience
5 years of employment as a software developer
National School on Astronomy & Astrophysics, National School on Astronomy & Astrophysics at Young Scholars ClubDoctor of Philosophy - PhD, Astronomy, Data Intensive Science, Doctor of Philosophy - PhD, Astronomy, Data Intensive Science at University of CambridgeMaster of Science, Physics, 4.3/4.3, Master of Science, Physics, 4.3/4.3 at Université de MontréalBachelor of Science, Computer Engineering + Physics, Bachelor of Science, Computer Engineering + Physics at Sharif University of Technology
Persian, English, FrenchProgramming languages (1)
Github contributions (5)
mhsotoudeh/mir-course-project
Nov 2019 - Jan 2020
Contributions:27 commits, 15 pushes, 1 branch in 2 months
mhsotoudeh/ProbUNet-Tutorial
Feb 2023 - Mar 2023
Contributions:68 pushes, 1 branch in 1 month
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