Ethan Perez

Ethan Perez is a Research Scientist at Anthropic since May 2022, focusing on reducing catastrophic risks from advanced machine learning systems, particularly large language models. In addition, Ethan serves as a Research Advisor to NYU's Alignment Research Group from September 2022. Prior experience includes a PhD in Computer Science from New York University, where research centered on aligning language models with human preferences. Past roles include Research Scientist Intern at DeepMind, Assistant Lecturer at the African Institute of Mathematical Sciences, and multiple internships at Facebook AI, where Ethan contributed to significant advancements in natural language processing. Educational qualifications encompass a Bachelor's Degree in Computer Science from Rice University and a PhD currently underway at New York University.