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.
9 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 (26)
content-analysis10
r-package10
science9
digital-elevation-model7
equation7
machine-learning6
dynamical-systems6
python6
gpu5
differential-equations5
automatic-differentiation5
r5
experimental-design5
earth-observation5
pytorch5
Programming languages (3)
Github contributions (5)
cjerzak/DescriptiveRepresentationCalculator-software
Nov 2022 - Feb 2023
Contributions:29 commits, 160 pushes, 1 branch in 3 months
iqss-research/readme-software
May 2018 - Jan 2023
Readme2: An R Package for Improved Automated Nonparametric Content Analysis for Social Science
Contributions:1594 commits, 1433 pushes, 8 comments in 4 years 8 months
r-packagescienceimprovedsocial-sciencecontent-analysis
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