Satpreet Singh
Research Fellow at Harvard University
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolSatpreet Singh is a research-focused machine learning scientist with 11 years of experience applying probabilistic methods, deep reinforcement learning, and uncertainty quantification to neuroscience, biology, and large-scale product problems. Currently a Research Fellow at Harvard Medical School, he builds deep RL agents for neuroscience while bringing prior ML research experience from Meta and postdoctoral work at Baylor College of Medicine. His background blends production data-science and ML engineering at LinkedIn and Orbitz with a PhD from the University of Washington and an MS in CS from Oregon State, enabling him to move ideas from prototype to deployed systems. He has a track record of patented data-product innovations and cross-disciplinary research spanning genomics, human behavior analysis, and ecological sensor networks. Known for bridging academic rigor with product impact, he often surfaces practical uncertainty-aware models in domains where interpretability and trust matter.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of WashingtonMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Oregon State UniversityThe Bishop's School, PuneBE Electronics Engineering, BE Electronics Engineering at Savitribai Phule Pune UniversityM.S. Electrical & Computer Engineering, M.S. Electrical & Computer Engineering at University of Iowa
Github Skills (50)
computational-neuroscience9
deep-reinforcement-learning8
arxiv8
reinforcement-learning8
actor-critic5
mujoco5
sac5
python5
image-filters4
multi-agent4
statistical-inference4
q-learning4
sequential4
sequence4
deep-learning3
Programming languages (5)
Github contributions (5)
BruntonUWBio/mining2021
Oct 2020 - Jan 2022
Code to accompany: https://arxiv.org/abs/2001.08349
Contributions:13 commits, 13 pushes in 1 year 2 months
pythonarxivabs
BruntonUWBio/plumetracknets
Jul 2021 - Sep 2022
Supplementary data and code accompanying: https://arxiv.org/abs/2109.12434
Contributions:1 release, 10 commits, 26 pushes in 1 year 2 months
computational-neurosciencedeep-reinforcement-learning
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.