Tomas Brody-barre is a Staff Research Engineer with 11 years of interdisciplinary experience applying psychology, statistics, and machine learning to product and business problems at scale. He designs sharp KPIs and robust data infrastructure to turn ambiguous questions into actionable insights, and has driven multi-million dollar product decisions and dramatic reductions in operational noise across Google’s security and cloud portfolios. A former academic (PhD, Computational Psychology) and postdoc, he brings rigorous experimental design and Bayesian/statistical expertise to production workflows, including integrating LLMs into SQL pipelines and evaluation frameworks for AI agents. Based in New York, he blends human-centered research—studying how people interact with AI tools—with hands-on engineering to accelerate model development and product launches. Colleagues rely on him as a metrics mentor and pragmatic problem-solver who translates behavioral science into reproducible, high-impact analytics.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Psychology, Doctor of Philosophy (PhD) Computational Psychology at University of Cambridge
Bachelor of Science Pscyhology, Bachelor of Science Pscyhology at University of York
Contributions:1 PR, 12 pushes, 1 branch in 6 months
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