Drew Herren
Postdoctoral Fellow at The University of Texas at Austin
Austin, Texas, United States
Summary
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Senior🎓
Top SchoolDrew Herren is a postdoctoral fellow at the University of Texas at Austin who applies machine learning to causal inference, building software that helps practitioners estimate causal effects from large-scale observational data. With a PhD in Statistics from Arizona State University and over a decade of experience spanning academia, internships at Microsoft and Arize AI, and analytical roles at Cornerstone Research and Oliver Wyman, he blends rigorous methodological research with practical, product-oriented data science. Drew’s background designing surveys, choice experiments, and financial models gives him a rare mix of causal theory, interpretability expertise, and hands-on experience translating insights for business stakeholders. He often bridges research and implementation, producing tools and workflows that make advanced causal methods usable in real-world settings.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Arizona State UniversityBachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Georgetown University
English, French, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (22)
markdown10
bart10
gitpod10
github-pages10
jekyll10
probabilistic-models10
bayesian-methods9
machine-learning8
r-package8
journal7
development-environment7
bayesian7
causal7
open-access6
ide6
Programming languages (9)
Github contributions (5)
StochasticTree/stochtree-r
Apr 2024 - Feb 2025
StochasticTree R package
Contributions:36 PRs, 91 pushes, 33 branches in 10 months
andrewherren/andrewherren.github.io
Mar 2022 - Dec 2023
Drew Herren's personal webpage
Contributions:44 PRs, 69 pushes, 5 branches in 1 year 9 months
reactpersonal-webpagewebpage
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