Edward Hutter
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEdward Hutter is a quantitative researcher with a decade of experience translating high-performance scientific computing and numerical algorithms into production algorithmic market-making strategies at Citadel Securities. He holds a PhD in Computer Science from UIUC and has a strong background in tensor methods, communication-avoiding linear algebra, and performance-portable kernels developed during DOE fellowships and national lab internships. Edward combines deep research rigor—publishing and building advanced numerical solvers—with hands-on trading systems engineering, having progressed from intern to researcher within Citadel in under two years. Based in New York, he blends low-latency software design with statistical modeling and autotuning expertise to squeeze measurable edge from complex markets. An uncommon strength is his proven ability to move ideas from high-performance research code to robust, deployable systems under production constraints.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 3.83/4, Doctor of Philosophy - PhD, Computer Science, 3.83/4 at University of Illinois Urbana-Champaign
Github Skills (44)
sparse10
sparse-matrix10
multidimensional9
blas9
abstraction9
linear-algebra9
issue-tracking9
portability9
redmine8
parallel-processing8
parallel-computing8
graph8
mpi8
multidimensional-arrays8
ecosystem8
Programming languages (4)
Github contributions (5)
huttered40/capital
Sep 2019 - May 2023
Distributed-memory implementations of novel Cholesky and QR matrix factorizations
Contributions:1 PR, 64 pushes, 8 branches in 3 years 8 months
qdistributed-memoryimplementationsmemoryfactorizations
huttered40/critter
Mar 2018 - Nov 2022
Contributions:525 commits, 201 pushes, 13 branches in 4 years 8 months
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