Peilin Yu is a Ph.D. candidate in the Computer Science Department at Brown University, where he is advised by Professor Stephen H. Bach. He focuses on innovative methods for addressing weak supervision challenges and harnessing foundation models to improve weak supervision practices. His work has been presented at conferences such as ICLR, ACL, AISTATS, and IEEE Big Data.