Drew Dimmery
Professor Of Data Science For The Common Good
Berlin, Germany
Summary
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Senior🎓
Top SchoolDrew Dimmery is a professor and researcher specializing in the intersection of machine learning and causal inference, with 13 years of experience applying these methods to large-scale experimentation and observational studies. He currently leads data-for-good efforts at Hertie School while previously shaping adaptive experimentation at Facebook and coordinating data science research and partnerships at Universität Wien. His work emphasizes practical improvements—like empirical Bayes for massive online experiments and improved weighting estimators for causal estimation—that make rigorous methods routine in production settings. Trained as a political scientist (PhD, NYU) with early quantitative physics experience, he blends theoretical depth with hands-on data science across academia, industry, and public-interest projects. Based in Berlin, he’s particularly focused on using causal lenses to strengthen ML systems such as contextual bandits and reinforcement learning.
13 years of coding experience
6 years of employment as a software developer
University of South CarolinaDoctor of Philosophy (Ph.D.) Politics, Doctor of Philosophy (Ph.D.) Politics at New York UniversityKing's College LondonB.A International and Area Studies, B.A International and Area Studies at University of North Carolina at Chapel Hill
German, English
Github Skills (6)
rdd9
cran8
simulation7
statistical-inference6
machine-learning4
inference2
Programming languages (3)
Github contributions (5)
ddimmery/quarto-website
May 2022 - Aug 2022
Contributions:35 commits, 48 pushes, 1 comment in 3 months
ddimmery/tidyhte
Sep 2021 - Aug 2023
Contributions:2 releases, 69 pushes, 2 tags in 1 year 11 months
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