D Hughes

Associate Professor Of Practice

Berkeley, California, United States
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Summary

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Senior
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Top School
D Hughes is an Associate Professor of Practice at UC Berkeley and a political science PhD who designs and evaluates large-scale experiments across domains from business outcomes to peacebuilding. With 11+ years combining academic research, teaching, and consulting, he leads data science curricula and a 30-person instructional team that trains over 800 Masters students in applied statistics and experimental design. He runs Deep Blue Analysis, offering end-to-end statistical consulting that translates rigorous causal methods into practical programmatic decisions. His research advances causal estimators and measurement techniques for political mobilization and development, bridging theoretical innovation with field-tested trials. Based in Berkeley, he brings an uncommon mix of hands-on experimental practice, award-winning teaching, and policy-relevant consulting experience.
code11 years of coding experience
job9 years of employment as a software developer
bookUniversity of California, San Diego
bookBachelor of Arts - BA, Political Science, Bachelor of Arts - BA, Political Science at University of Michigan College of Literature, Science, and the Arts
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Stackoverflow

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Github Skills (37)

jupyterhub10
jupyterlab10
rstudio10
jupyterlab-extension10
binder10
jupyter-book10
jupyter9
ipython9
causality9
jekyll-theme9
helm9
jekyll9
jupyter-notebook9
version-control9
react8

Programming languages (6)

RShellSCSSHTMLJupyter NotebookPython

Github contributions (5)

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mids-w203/slides

Aug 2020 - Nov 2022

Contributions:3 reviews, 65 commits, 9 PRs in 2 years 3 months
UCB-MIDS/w241

Dec 2018 - Apr 2021

This is the course repository for w241 and 290 -- Experiments and Causality.
Contributions:182 commits, 18 PRs, 105 pushes in 2 years 5 months
causality
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