Prospective Ph.D. students:
Thank you for your interest! I take Ph.D. students every year through UC Berkeley EECS (see the department's page).
The best way to ensure I see your application is to (1) select "AI-LANG" as your area, and (2) list me as a potential adviser on the form and mention me in your Statement of Purpose.
Emailing me won't affect admission decisions, and I am not able to respond to individual admissions emails.
UC Berkeley undergrads: If you are a Berkeley student interested in doing research with me, please see this page (Berkeley log in required).
UC Berkeley students interested in taking or auditing CS 288 (spring) or CS 294-288 (fall):
Please visit the relevant course website for enrollment details. Each website contains all the necessary information, and I can't respond to individual emails about enrollment.
Visitors/remote interns: I won't be able to host visitors or remote interns - sorry!
Sewon Min is an Assistant Professor in EECS at UC Berkeley, affiliated with Berkeley AI Research (BAIR), and a Research Scientist at the Allen Institute for AI. Her research focuses on understanding and advancing large language models (LLMs),
with the goal of improving their performance, flexibility, adaptability, factuality, and reasoning through new architectures and training methods.
She also develops tools and infrastructure for data and model auditing.
Her work has received multiple best paper awards, dissertation awards from ACM, ACL, and AAAI, and several fellowships. She earned her Ph.D. from the University of Washington and has held research positions at Meta AI, Google, and Salesforce.
