Bingbin Liu

Bingbin Liu is a postdoctoral research fellow in the program on Modern Paradigms in Generalization. Her research interests include the theoretical and scientific understanding of machine learning, with a focus on self-supervised learning and more recently language models. Before joining Simons, Bingbin received her PhD in Machine Learning from Carnegie Mellon University, where she was advised by Andrej Risteski and Pradeep Ravikumar. Prior to CMU, she earned an MSc degree from Stanford University and a BEng degree from the University of Hong Kong.