Summary
Jacy Anthis is a researcher and PhD candidate specializing in machine learning and human–AI interaction, focused on how general-purpose "digital minds" emerge and collaborate with humans. With 11 years of experience, he has published at CHI, ACL, and NeurIPS, presented in 28 countries, and been named a Rising Star in Data Science. He co-founded the Sentience Institute, has advised and researched at leading labs including Stanford, Berkeley, OpenAI Red Team, Microsoft, Google, and now Google DeepMind, blending rigorous social-science methods with hands-on ML research. His background in neuroscience and statistics informs a rare cross-disciplinary approach to modeling agency, emotion, and reasoning in AI systems. Outside academia he has driven impact-focused organizations—helping Animal Charity Evaluators scale influence—and lives in San Francisco with his wife and dog. Notably, his work straddles both ethical foresight and red-team practice, giving him a practical lens on AI safety and societal risk.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Neuroscience, Bachelor's degree, Neuroscience at The University of Texas at Austin
Doctor of Philosophy - PhD, Sociology and statistics, Doctor of Philosophy - PhD, Sociology and statistics at University of Chicago