Luke Hewitt

I work on computational & experimental tools for measuring what changes people’s beliefs/attitudes, with application to effective advocacy, public health communication, AI safety, and social science methodology. My research combines RCTs, LLMs, expert forecasting and hierarchical Bayesian models.

Currently:

• I’m co-founder/director of Rhetorical Labs, a research collective which uses RCT experiments and machine learning to help public communication campaigns improve the impact of their messaging.
• I’m a Senior Research Fellow in Stanford PASCL, where I study the capacity of Large Language Models to predict treatment effects in the social/behavioral sciences.
• I’m a member of the South Park Commons technical community (SF Bay hub)
• I’m co-PI for the SSRC Mercury Project team on Combatting health misinformation with community-crafted messaging.

Previously:

• PhD in AI / Cognitive Science at MIT
• Undergrad / MEng in Mathematical Computation at UCL
• Research data scientist at Swayable (building RCT experiment/analysis methodology)

↓

Academic research by topic

[CV]