Satpreet Singh
Research Fellow at Harvard University
Boston, Massachusetts, United States
Summary
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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 (23)
dynamical-systems10
recurrent-neural-networks10
artificial-life10
computational-neuroscience9
neuroscience9
deep-reinforcement-learning9
reinforcement-learning8
multi-agent-reinforcement-learning8
arxiv6
python5
algorithms4
jekyll4
jax4
probabilistic-models3
pytorch3
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
Emergent behaviour and neural dynamics in artificial agents tracking odour plumes
Contributions:1 release, 10 commits, 27 pushes in 1 year 2 months
deep-reinforcement-learningcomputational-neuroscienceanimal-behavioranimal-behaviourartificial-life
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