Jacob Hegna
Quantitative Researcher
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJacob Hegna is a quantitative researcher based in New York with 12 years of experience at the intersection of compilers, machine learning, and quantitative trading. Currently at Citadel, he blends a deep mathematical background—pursuing a PhD in Mathematics—with hands-on systems work from past roles at Google (LLVM and ML research) and high-frequency trading internships. His career shows a pattern of translating formal theory into production: from benchmarking static branch prediction and managing large-scale market data to compiler optimizations and trading strategies. Equally comfortable in C++ realtime systems and research settings, he brings both rigorous analytical training and practical engineering discipline to solve low-latency, data-driven problems.
12 years of coding experience
2 years of employment as a software developer
University of KansasDoctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Minnesota
Github Skills (41)
modular10
llvm10
toolchain10
compiler10
rust10
clang10
optimization10
machine-learning9
infrastructure9
code-editor9
rust-language8
crate8
standard-library8
rust-lang8
conversions7
Programming languages (6)
Github contributions (5)
jacob-hegna/bee
Jun 2014 - Jan 2015
Contributions:24 commits, 1 push in 7 months
jacob-hegna/cv
Mar 2017 - Sep 2021
Contributions:3 pushes, 1 branch in 4 years 7 months
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