Nihal V. Nayak is a fifth-year Ph.D. student in the Department of Computer Science at Brown University, where he is advised by Stephen H. Bach. His research focuses on zero-shot generalization in deep neural networks and, more broadly, on learning with limited labeled data. His work has been published in leading machine learning conferences and journals, including ICLR, TMLR, ACL Demo, EACL Findings, and MLSys.