CAREER Prediction

Ever wondered what your next career would be? Today, Keyon Vafa, a computer science Ph.D. student at Columbia University, joins us to discuss his latest research on developing a machine-learning model for career prediction. Keyon extensively spoke about how the model was developed and the possibilities it brings.

Guest

Keyon Vafa: I’m an incoming assistant professor at UC Berkeley, where I’ll be a member of the Department of Statistics and an affiliate with EECS, starting in Fall 2027. I work on building tools to understand and improve the implicit world models of generative models in AI. Part of my work also involves integrating insights from the behavioral sciences into the development of AI systems like large language models. I study these problems both in traditional AI domains and in the social sciences.