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 (30)
forex8
statistics8
finance8
trading-bot8
algorithm8
trading8
jupyterhub7
trading-algorithms7
kubernetes-cluster7
machine-learning7
science7
python7
julia7
bayesian-methods7
jupyter-notebook7
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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