Research Lead at PrincInt (Principles of Intelligence, PIBBSS)
Washington DC-Baltimore Area United States
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Summary
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Senior
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Top School
Ari Brill is an AI safety research lead with a decade of experience combining astrophysics and machine learning to probe how advanced models form internal representations. With a PhD in Physics from Columbia and a postdoc at NASA Goddard, Ari built interpretable Transformer and forecasting models for gamma-ray time series and led work that improved telescope sensitivity threefold. Transitioning to AI safety, Ari develops mathematical and empirical tools—supported by EA Funds—to study representation learning in modern AI systems and now leads research at PrincInt. Comfortable moving between production-grade Python tooling, Monte Carlo simulations, and self-supervised deep learning, Ari also has a strong track record mentoring students and communicating complex results to both technical and public audiences. A detail that often surprises collaborators: Ari’s background in observational instrument design directly informs a pragmatically experimental approach to evaluating model behavior.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Yale University
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Columbia University
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