Summary
Brian Cho is a research-minded data scientist and PhD candidate in ORIE at Cornell with 12 years of quantitative experience spanning academic research, teaching, and industry internships. Currently a Research Science Intern at Meta, he blends causal inference and machine learning expertise developed through research roles at Yale (with advisor Jasjeet Sekhon) and Berkeley Lab, plus hands-on financial modeling exposure from Bridgewater. He has taught probability, statistics and economics courses at Yale and Cornell, signaling strong communication skills and the ability to translate complex methods for diverse audiences. Brian’s work includes empirical evaluations of imputation and linear modeling for social mobility research, reflecting a rare mix of applied statistics, policy-relevant insight, and production-minded experimentation. Based in New York, he brings a pragmatic researcher’s mindset to problems that sit at the intersection of ML, economics, and decision science.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD ORIE, Doctor of Philosophy - PhD ORIE at Cornell University
B.S./M.A. Statistics and Data Science, B.S./M.A. Statistics and Data Science at Yale University
London School of Economics and Political Science
English, Korean