Bruno Ribeiro

Bruno Ribeiro is a Visiting Associate Professor at Stanford University and an Associate Professor in the Department of Computer Science at Purdue University. His research focuses on the intersection of invariant theory, graph learning, and out-of-distribution robustness. He holds a Ph.D. from the University of Massachusetts Amherst and completed a postdoctoral fellowship at Carnegie Mellon University.

Ribeiro has received prestigious awards, including the NSF CAREER Award in 2020 and an Amazon Research Award in 2022, alongside multiple best paper recognitions. His work bridges theoretical foundations with practical applications in machine learning and computer science.