Connor Jerzak
Assistant Professor at The University of Texas at Austin
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolConnor Jerzak is an assistant professor at UT Austin who trains students as full-stack researchers, blending social science rigor with machine learning and big-data methods. With a PhD from Harvard and a decade of experience spanning postdoctoral research in Sweden, a visiting appointment at Harvard, and industry research at Adobe, he focuses on social scientific machine learning, data creation/curation, and statistical inference. His collaborative work has earned international recognition, including a Top 100 research initiative nod from the Royal Swedish Academy of Engineering Sciences. Connor’s motto, Nullius in verba, signals a skeptical, evidence-first approach that informs both his teaching and research. Based in Austin, he combines deep quantitative training with a historian’s attention to context, mentoring students to move seamlessly between methods and real-world social questions.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Department of Government, Doctor of Philosophy - PhD, Department of Government at Harvard UniversityBachelor of Arts (B.A.), High Honors in History, Bachelor of Arts (B.A.), High Honors in History at Oberlin College
Github Skills (29)
earth-observation10
r-package10
biomedical-image-analysis10
machine-learning10
community-detection10
causal-inference10
computer-vision10
transformer-architecture10
r9
record-linkage9
jax9
jit8
digital-elevation-model8
gpu8
equinox8
Programming languages (5)
Github contributions (5)
cjerzak/fastrerandomize-software
Sep 2023 - Jan 2026
[SoftwareX 2026] FastRerandomize: Rerandomization Using Accelerated Computing
Contributions:3 PRs, 287 pushes, 1 branch in 2 years 4 months
accelerated-computingbalancehardware-accelerationdistance-measuresrerandomization
cjerzak/DescriptiveRepresentationCalculator-software
Nov 2022 - Feb 2023
DescriptiveRepresentationCalculator: An R package for quantifying observed and expected descriptive representation
Contributions:29 commits, 9 PRs, 190 pushes in 3 months
descriptive-representationr-package
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