Skip to content

Alexander Pan

UC Berkeley
Class of
Member of

Advisor: Jacob Steinhardt
Research on alignment, adversarial robustness, and anomaly detection

Alex is an incoming PhD student in Computer Science at UC Berkeley, advised by Jacob Steinhardt. He is interested in making ML systems more robust and aligned with human values through better empirical and theoretical understanding of potential failure modes. Currently, he is working on using language to construct more resilient value functions and better control machine learning models. Previously, Alex completed a B.S. in mathematics and computer science from Caltech. For more information, visit his website.

Sign up for the Future of Life Institute newsletter

Join 40,000+ others receiving periodic updates on our work and cause areas.
cloudmagnifiercrossarrow-up linkedin facebook pinterest youtube rss twitter instagram facebook-blank rss-blank linkedin-blank pinterest youtube twitter instagram