Julian Kates-harbeck
Quantitative Researcher
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolJulian Kates-harbeck is a quantitative researcher at Citadel with 11 years of interdisciplinary experience bridging physics, machine learning, neuroscience, and complex systems. He previously led data and physics-modeling teams at Kernel and completed a PhD in Physics at Harvard after top-tier degrees at Stanford in Physics and Computer Science. His work blends high-performance scientific simulation, deep learning, and network science—applied from astrophysical plasmas to brain-computer interfaces and financial models. He co-founded a healthcare nonprofit focused on medication adherence and has advised social-cooperation and AI startups, reflecting a strong product-and-policy sensibility alongside technical depth. Notably, his background includes deploying recurrent neural networks for medical dialogue systems and building algorithmic tools for scientific discovery, highlighting a rare combination of experimental, theoretical, and production-grade engineering.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, 4.0/4.0, Doctor of Philosophy (PhD), Physics, 4.0/4.0 at Harvard UniversityBachelor of Science (BS), Physics, 3.85/4.0, Major 4.01/4.0, Bachelor of Science (BS), Physics, 3.85/4.0, Major 4.01/4.0 at Stanford University
English, German, French, Spanish, Russian, Portuguese
Github Skills (25)
programming-language10
machine-learning10
keras10
prediction10
science10
julia10
numerical9
plasma-physics9
python9
julialang9
hpc9
root-finding9
tensorflow9
deep-learning9
petsc9
Programming languages (3)
Github contributions (5)
jnkh/indirect-rec
Mar 2016 - May 2019
Contributions:60 pushes, 1 branch in 3 years 3 months
jnkh/plasma
May 2016 - Jul 2016
Contributions:721 commits, 764 pushes, 1 branch in 1 month
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