Misha Padidar
Research Fellow at Simons Foundation
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolMisha Padidar is a Research Fellow at the Flatiron Institute with a decade of experience applying applied mathematics, numerical optimization, and machine learning to complex physics design problems. He completed a PhD in Applied Mathematics at Cornell and has blended academic rigor with industry impact through roles at Uber and research internships at Argonne, where his derivative-free optimization work informed accelerator and constrained-design problems. At Uber he translated large-scale data analysis into product decisions, while his Flatiron and lab projects focus on stellarator design and leveraging ML to accelerate simulation-driven discovery. Known for bridging theory and practice, he often adapts “off-the-shelf” optimization tools to handle unrelaxable constraints—unlocking simpler solutions for otherwise specialized problems. Based in New York, he combines deep technical expertise with teaching and mentoring experience from leading graduate-level coursework and recitations.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Cornell University Graduate SchoolBachelor of Science - BS, Applied Mathematics, Bachelor of Science - BS, Applied Mathematics at UC Santa Barbara
Github Skills (25)
optimizer10
gaussian-processes10
fusion10
stochastic-processes10
gaussian10
optimization10
modular9
pytorch9
plasma-physics9
gpu-acceleration8
predictive4
matlab4
solver4
trajectory-optimization3
control-library3
Programming languages (4)
Github contributions (5)
mishapadidar/mishapadidar.github.io
Jan 2018 - Mar 2025
Contributions:120 pushes, 1 branch in 7 years 3 months
mishapadidar/GP-Derivatives-Variational-Inference
Feb 2021 - Oct 2021
Contributions:214 commits in 8 months
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