David Holtz
Assistant Professor at Columbia Business School
New York, New York, United States
Summary
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Senior🎓
Top SchoolDavid Holtz is an assistant professor in Decision, Risk and Operations at Columbia Business School with a decade of experience bridging data science, behavioral research, and applied machine learning. He previously served on the faculty at UC Berkeley Haas and brings industry-honed expertise from roles at Airbnb, Facebook, Spotify, and Microsoft where he built predictive models, designed experiment-driven diagnostics, and led analytics pipelines. His academic work is grounded in a PhD from MIT Sloan and earlier training in physics, giving him a strong quantitative foundation and a knack for translating complex models into actionable business and policy insights. He has led both product-focused analytics (e.g., booking prediction systems and host-detection heuristics) and rigorous field experiments exploring peer-to-peer behavior, pairing technical depth with experimental rigor. Based in New York, he advises startups and leverages cross-sector experience to inform teaching and research on decision-making under uncertainty. An atypical detail: his background spans observational cosmology and theater composition, reflecting a blend of technical precision and creative thinking that shapes his approach to problem solving.
10 years of coding experience
10 years of employment as a software developer
Johns Hopkins UniversityDoctor of Philosophy (PhD) Information Technology, Doctor of Philosophy (PhD) Information Technology at MIT Sloan School of ManagementB.A. Physics Theater, B.A. Physics Theater at Princeton University
English, Japanese
Github Skills (7)
statistics4
r4
science3
data-science2
data-analysis2
data-visualization2
visualization2
Programming languages (2)
Github contributions (5)
mit-6867/mit_6867
Sep 2015 - Oct 2016
Contributions:107 commits, 29 PRs, 97 pushes in 1 year
mithomeworks
daveholtz/mit_15840_paper
May 2016 - Jul 2023
Contributions:10 PRs, 14 pushes, 9 branches in 7 years 3 months
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