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Ethan Perez is a Research Scientist at Anthropic since May 2022, focusing on reducing risks associated with advanced machine learning systems, particularly large language models. Concurrently, Ethan serves as a Research Advisor for NYU's Alignment Research Group and previously completed a PhD in Computer Science at New York University from August 2018 to March 2022, focusing on aligning language models with human preferences. Prior industry experience includes internships at DeepMind, Facebook AI, and Uber, where Ethan contributed to various machine learning and natural language processing projects. Ethan holds a Bachelor's Degree in Computer Science from Rice University and completed secondary education at Cistercian.