Patrick Komiske
Research Scientist at River Run Trading
Newton, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolPatrick Komiske is a research scientist with nine years of quantitative research experience, blending a PhD in theoretical particle physics from MIT and an AB/MA in Physics and Mathematics from Harvard. He applies advanced math, statistics, and machine learning to real-world problems, currently developing quantitative strategies and execution algorithms for crypto trading at River Run Trading. His academic work on jet physics at the LHC produced novel ML architectures, event metrics, and theoretically grounded definitions that bridge first-principles QCD and data-driven methods. Comfortable moving between pure theory and production research, he has consulted in quantitative finance and interned at market-focused firms like Jane Street, giving him practical market intuition alongside deep technical rigor. Based in Newton, MA, he gravitates toward hard, unfamiliar problems where quantitative clarity reveals unexpected structure.
9 years of coding experience
Doctor of Philosophy - PhD Theoretical Particle Physics, Doctor of Philosophy - PhD Theoretical Particle Physics at Massachusetts Institute of TechnologyMaster of Arts - MA Physics, Master of Arts - MA Physics at Harvard University
Spanish, English
Github Skills (74)
python10
high-energy-physics10
deep-learning10
simulations10
statistics10
random-walk10
data-science10
tensorflow10
data-analysis10
pytorch10
machine-learning10
polygons9
scikit9
polygon9
jax9
Programming languages (3)
Github contributions (5)
thaler-lab/EnergyFlow
Nov 2017 - Jul 2022
Python package for the EnergyFlow suite of tools.
Contributions:23 releases, 506 commits, 5 PRs in 4 years 8 months
pythonsimulationshigh-energy-physicsrandom-walkpython-package
pkomiske/PyFJCore
Mar 2021 - Feb 2022
Contributions:64 commits, 55 pushes, 5 branches in 11 months
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