Summary
Philippe Chlenski is a research scientist based in New York with 11 years of experience at the intersection of AI research, software engineering, and academic scholarship. He completed a PhD in Computer Science at Columbia as an NSF Graduate Research Fellow and has held roles ranging from research at Argonne National Laboratory to industry internships at Uber and Apple, now focusing on AI and data responsibility infrastructure at Meta. Philippe has blended teaching (adjunct professor at Barnard) with targeted alignment work—he was a research scholar supervised by Neel Nanda—demonstrating depth in both theory and applied ML safety. His background in mathematics and philosophy from Yale and a liberal-arts start at Deep Springs signal a rigorous, interdisciplinary approach to hard ML problems and ethical system design. Notably, he maintains a public portfolio of publications and projects at chlenski.com, reflecting an emphasis on reproducible, transparent research.
10 years of coding experience
2 years of employment as a software developer
Associate of Arts - AA Liberal Arts, Associate of Arts - AA Liberal Arts at Deep Springs College
Bachelor of Arts - BA Mathematics & Philosophy, Bachelor of Arts - BA Mathematics & Philosophy at Yale University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Columbia University
Lincoln Park High School
Russian, French, English