Benjamin Anderson

Benjamin Anderson is a machine learning researcher and entrepreneur based in San Francisco, California. He holds an M.S. in Computer Science (Siebel Scholar, 4.0 GPA) and a B.A. in Philosophy with distinction (Phi Beta Kappa) from Stanford University. He was an Empirical Research Fellow at Stanford's Regulation, Evaluation, and Governance Lab (RegLab) from 2020 to 2022, where he led data science projects with the IRS on ML-based audit selection and with Santa Clara County on COVID-19 disease surveillance. He subsequently worked as an ML researcher at CarperAI, developing pipelines for legal foundation models, and as a founding engineer at Justera. He is co-founder of Taylor AI (YC S23), a San Francisco-based startup providing AI-powered text classification and data enrichment tools. He has received funding to conduct work in AI safety and actively engages with AI safety topics including model evaluation and chain-of-thought monitoring.

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