David Puelz
Associate Professor
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolDavid Puelz is an associate professor and statistician based in Austin who blends computation, data science, and causal inference to tackle applied problems in policy and business. With 11 years of experience spanning academia, industry, and think tanks—including faculty roles at UT Austin, a postdoc at Chicago Booth, and analytic leadership at the Salem Center for Policy—he translates rigorous statistical methods into practical decision-making tools. He teaches data science and machine learning, mentors researchers, and brings a practice-oriented perspective informed by earlier quantitative work at Goldman Sachs. Currently affiliated with the University of Austin, the Abundance Institute, and Do No Harm, he navigates both scholarly research and policy-facing analytics. An understated thread in his career is his ability to move between deep theory (PhD in Statistics) and operational analytics, making causal methods accessible and actionable.
11 years of coding experience
6 years of employment as a software developer
PhD, Statistics, PhD, Statistics at The University of Texas at AustinBA, Math & Physics, BA, Math & Physics at Wesleyan University
Github Skills (12)
sta10
predictive-modeling10
predictive10
modeling9
causal8
randomization8
jekyll7
jekyll-theme7
machine-learning7
julia6
github-pages5
enumeration2
Programming languages (4)
Github contributions (5)
dpuelz/WeddingWebsite
Nov 2016 - Jan 2022
Contributions:49 pushes, 1 branch in 5 years 3 months
dpuelz/dpuelz.github.io
May 2018 - Jan 2025
Contributions:515 pushes, 3 branches in 6 years 9 months
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