Jason Bates
Founder & President at Stochastic Energy Systems, LLC
Virginia, United States
Summary
👤
Senior🎓
Top SchoolJason Bates is a founder and quantitative scientist with 11 years of experience building data-driven trading systems, Bayesian risk models, and physics-informed software across finance and energy. He led model development for an alternative strategies fund and delivered a commodity trading algorithm that returned 60% in FY2020, while at GE he invented non-parametric Bayesian credit-loss and equity stress-testing models used in enterprise risk applications. Combining a PhD in physics with hands-on engineering, he creates bespoke solutions that blend statistical rigor, probabilistic ensembles, and domain physics—from wind-market forecasting to additive-manufacturing calibration. Notably, he has translated deep academic research in stochastic systems into production tools, including AI-driven sports analytics and PPNR benchmarking for CCAR stress testing. Based in Virginia, he is comfortable leading teams, shipping production code, and tackling high-stakes, limited-data problems.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Sam Houston State UniversityDoctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Wake Forest University
Github Skills (40)
trading9
finance9
forex9
bayesian-methods8
julia8
python8
science8
automated-trading8
trading-bot8
backtesting-trading-strategies8
deploying8
pinescript8
trading-algorithms8
jupyterhub7
programming-language7
Programming languages (4)
Github contributions (5)
jdbates/DU-avionics
Aug 2022 - Sep 2022
Contributions:1 release, 34 commits, 30 pushes in 9 days
jdbates/DU-scripts
Sep 2020 - Sep 2020
Contributions:6 pushes, 1 branch in 1 day
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