Jinxin Wang 

Jinxin Wang is passionate about optimal transport, optimization, and their applications (in language models). Previously, he worked in nonconvex optimization (e.g., structured nonconvex QCQPs and Riemannian optimization) during his PhD at the Chinese University of Hong Kong. He earned a master’s degree in data science from Peking University and a bachelor’s degree in mathematics from Dalian University of Technology.