Eric Easley
Bio
Updated 03/22/26Eric Easley is an AI safety researcher and machine learning researcher affiliated with the ML Alignment & Theory Scholars (MATS) program, based in San Francisco, CA. He holds a Bachelor's degree in Physics and Economics from The Ohio State University. Prior to focusing on AI alignment research, he gained software engineering experience at companies including PullRequest and Coursera. He received a grant from the Long-Term Future Fund (LTFF) for a 6-month research stipend focused on removing conditional bad behaviors from large language models via a learned latent space intervention, exploring how latent representations in LLMs can be used to durably eliminate undesirable model behaviors rather than merely suppress them. His GitHub profile (username: pseudonom) shows a background in functional programming, particularly Haskell.
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