Luke Hewitt
Research Fellow at Transluce
United States
Summary
👤
Senior🎓
Top SchoolLuke Hewitt is a research-focused technologist who builds computational tools to help public health and advocacy campaigns optimize impact, blending expertise in RCTs, hierarchical Bayesian models, expert forecasting, and LLM evaluation. With a PhD in AI and Cognitive Science from MIT and a background in mathematical computation from UCL, he has led and co‑led interdisciplinary projects at Stanford, the Mercury Project, and Swayable that translate rigorous experimentation into persuasive messaging strategies. He consults on AI safety and evaluates persuasive capabilities of frontier models for organizations like OpenAI and the UK AI Security Institute, bringing hands-on model testing to policy-relevant questions. As co-founder of the Rhetorical Impact Lab and a member of South Park Commons, he pairs academic depth with startup pragmatism to move research into operational tools for real-world campaigns. An often-overlooked strength is his ability to combine formal causal inference with practical messaging experiments, making complex methods accessible to practitioners.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD) Artificial Intelligence / Cognitive Science, Doctor of Philosophy (PhD) Artificial Intelligence / Cognitive Science at Massachusetts Institute of TechnologyUniversity College London
Github Skills (45)
generative-model9
regular-expression8
r7
webppl7
pandas7
python7
data-structures6
data-analysis6
data-structure6
data-science6
ipython5
django-project5
javascript5
probabilistic-programming4
conda4
Programming languages (8)
Github contributions (5)
insperatum/text-patterns
Jan 2018 - Jul 2018
Contributions:663 commits, 605 pushes, 4 branches in 5 months
insperatum/pregex
Apr 2018 - Mar 2019
Probabilistic regular expressions
Contributions:36 commits, 28 pushes, 1 branch in 10 months
regular-expression
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