Keith Myers-crum
Quantitative Researcher
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolKeith Myers-crum is a physicist-turned-quant with 11 years of experience applying statistical rigor and machine learning to high-frequency trading and data-driven products. He built production-grade ML systems and led research teams at Civis Analytics before moving into quantitative research roles at Citadel Securities and now Jump Trading, blending experimental physics discipline with pragmatic engineering. His Ph.D. work on multivariate statistical estimation for neutrino experiments informs a methodological focus on rigorous inference and noisy-data problems. Notably, he designed a machine learning–based survey weighting system that ran in production at scale and has deep experience turning research prototypes into robust, deployed tools. Based in the Greater Chicago Area, he thrives at the intersection of finance, statistics, and software, bringing a habit of low-level instrumentation and calibration from his time at CERN to complex quantitative systems.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Particle Physics, Doctor of Philosophy (Ph.D.) Particle Physics at University of Chicago
French
Github Skills (27)
glmnet9
linear-models8
python6
deploying6
r6
random-forest5
causal-inference5
machine-learning5
statistics5
scikit5
data-science4
analytics4
econometrics4
scikit-learn4
continuous-integration4
Programming languages (4)
Github contributions (5)
kcrum/MCMC
Sep 2014 - May 2016
Contributions:20 commits, 3 pushes in 1 year 8 months
kcrum/kcrum.github.io
Feb 2015 - Mar 2015
Contributions:40 pushes, 1 branch in 1 month
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