Siyi He
Siyi He is a Ph.D. student in the Department of Computer Science. Her advisor is Hoda Eldardiry.
Her research interests lie at the intersection of machine learning, Bayesian statistics, and causal Inference. She is particularly focused on Generative Flow Networks (GFlowNets), with current work involving the design of new loss functions and training objectives to enhance solution efficiency in reinforcement learning.