Manan Tomar
Postdoctoral Researcher at Microsoft
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolManan Tomar is a research scientist at Microsoft Research NYC with a decade of experience building and advancing reinforcement learning and pretraining methods for vision and sequential decision-making. He completed a PhD at the University of Alberta after research stints at UC Berkeley’s RAIL lab and an AI Residency at Meta FAIR, where he developed policy optimization algorithms including Mirror Descent Policy Optimization. At MSR he focuses on latent prediction, jumpy-in-time reasoning, and discrete latent tokenization for smarter pretraining, blending theoretical RL insights with practical model engineering. His trajectory spans academic rigor and industrial research internships across Montreal and New York, reflecting strong collaborations with leaders like Sergey Levine and Philip Bachman. Notably, he has combined interests in image/video RL with work on tokenization and latent modeling, signaling a rare cross-cutting focus on both control and representation learning.
10 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology MadrasHigh School, High School at Delhi Public School - Greater Noida
English, German, Hindi
Github Skills (14)
gun10
deep-reinforcement-learning9
reinforcement-learning9
deep-learning8
pytorch8
swig8
openai8
artificial-intelligence7
machine-learning7
cmake7
data-science6
puzzle3
game-development1
physics1
Programming languages (3)
Github contributions (5)
manantomar/MPC
Jan 2018 - Feb 2018
Contributions:15 commits, 12 pushes, 1 branch in 1 month
manantomar/manantomar.github.io
Sep 2017 - Jul 2024
Contributions:55 pushes, 1 branch in 6 years 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.