Aditi Raghunathan

Aditi Raghunathan

Assistant Professor, Carnegie Mellon University

Aditi Raghunathan is an Assistant Professor at Carnegie Mellon University. She is interested in building robust ML systems with guarantees for trustworthy real-world deployment. Previously, she was a postdoctoral researcher at Berkeley AI Research, and received her PhD from Stanford University in 2021. Her research has been recognized by Forbes 30 under 30, the Schmidt AI2050 Early Career Fellowship, the Arthur Samuel Best Thesis Award at Stanford, a Google PhD fellowship in machine learning, and an Open Philanthropy AI fellowship.

Program Visits

program
Special Year on Large Language Models and Transformers, Part 1
visiting
Fields
Robustness, generalization and theoretical understanding of large-scale pretrained models