Ari Boyarsky
PhD Candidate
New York, New York, United States
Summary
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Senior🎓
Top SchoolAri Boyarsky is a PhD candidate in Decision, Risk, and Operations at Columbia Business School with a decade of quantitative experience spanning academia, government, and finance. His research blends theoretical statistics, nonparametric methods, and learning theory to tackle non-standard inference and reliable causal estimation, with practical stints as a quantitative research intern at Cubist and as a research fellow at Yale. Prior roles at the University of Chicago, Pew Research Center, and the Office of Management and Budget reflect strong empirical and policy-oriented data skills alongside formal theory. Comfortable moving between proofs and production-ready analysis, he applies stochastic optimization and decision-focused thinking to real-world problems. Based in New York, he brings a rare combination of deep theoretical rigor and hands-on data science experience that informs both scholarly contributions and applied modeling.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Decision, Risk, Operations, Doctor of Philosophy - PhD, Decision, Risk, Operations at Columbia Business SchoolCherry Hill High School EastThe University of Chicago
English, Russian, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
modeling2
machine-learning2
lightning1
probability1
spring1
theory1
nlp1
probability-theory1
natural-language-processing1
Github contributions (5)
ariboyarsky/NLP-NGram-Modeling
Oct 2016 - Nov 2024
Contributions:9 pushes, 1 branch in 8 years 2 months
ariboyarsky/Economics
Dec 2017 - May 2022
Contributions:38 commits, 32 pushes, 1 branch in 4 years 5 months
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