Gabriel Recchia
Director at Modulo Research Ltd
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGabriel Recchia is a director and computational modeler with 11 years of experience at the intersection of cognitive science and AI policy, currently leading alignment research and capability evaluation at Modulo Research in Cambridge. He combines a PhD in Cognitive Science with deep academic experience at the University of Cambridge and prior postdoctoral work, focusing on how quantified information and co-occurrence-based models support comprehension and decision-making. His work spans designing and running human-subject studies, developing neurally plausible semantic models, and translating technical findings into actionable guidance for companies and policymakers. Notably, he has led user-testing of clinical decision tools (e.g., NHS Predict) and has a long-standing interest in extracting real-world structure from text, such as geographic inference from corpora. This blend of rigorous experimental practice and model-based thinking gives him a rare ability to evaluate both human and machine understanding of risk and meaning.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Cognitive Science, Doctor of Philosophy (Ph.D.), Cognitive Science at Indiana University BloomingtonBachelor of Science, Symbolic Systems, Bachelor of Science, Symbolic Systems at Stanford University
Github Skills (27)
firebaseui9
mojo7
boilerplate7
firebase6
text-based6
haiku6
text-generation6
monte-carlo5
nlp5
python5
parallel5
javascript5
transformers4
machine-learning4
natural-language-processing4
Programming languages (5)
Github contributions (5)
mesotron/genetic_reports
May 2019 - Apr 2025
This repository contains analyses and code for the paper "Creating genetic reports that are understood by non-specialists: a case study"
Contributions:1 PR, 6 pushes, 1 branch in 5 years 11 months
mesotron/teaching_transformers
Jul 2021 - Sep 2021
Contributions:12 commits, 10 pushes, 1 branch in 1 month
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