Michael Potter
Graduate Research Assistant
Somerville, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMichael Potter is a Ph.D. candidate and data scientist who designs uncertainty-aware Bayesian ML systems for mission-critical healthcare and defense applications, with eight years of experience translating research into production. He built the U.S. Navy’s first Bayesian neural network for missile reliability, led NLP and MLOps efforts that saved engineering time and earned peer recognition, and won the IEEE RAMS Best Paper award. His research spans probabilistic temporal models—Bayesian Hawkes, survival analysis, and recursive fusion—to predict human behavior and optimize radar/trajectory planning, often improving accuracy while quantifying confidence. Comfortable in Python, JAX, PyTorch and NumPyro, he pairs rigorous Bayesian inference with practical pipelines and has a track record of securing research funding and deploying models in operational settings. An unexpected throughline: he applies tools honed on weapon-system reliability to sensitive health problems like forecasting aggression in youth with autism, emphasizing actionable uncertainty for safer decisions.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Northeastern UniversityUniversity of California, Los Angeles
Github Skills (82)
bayesian9
silo8
bayesian-inference8
python8
anova8
machine-learning8
post-hoc8
marketplace8
probabilistic-programming7
gpu7
pyro7
deep-learning7
density-estimation7
yolov57
ai-agent7
Programming languages (5)
Github contributions (5)
mlpotter/DeepKoopmanLusch
Apr 2022 - Jan 2023
Contributions:22 commits, 15 pushes, 1 branch in 8 months
mlpotter/Transformer_Time_Series
Aug 2020 - Sep 2020
Contributions:47 commits, 47 pushes, 1 branch in 8 days
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