Jiawei Zhang is currently the postdoctoral scholar in the Laboratory for Information & Decision Systems (LIDS) at MIT, working with Asuman Ozdaglar. He obtained the Ph.D. degree in Computer and Information Engineering from the Chinese University of Hong Kong (CUHK), studied in CUHK-Shenzhen with advisory of Zhi-Quan (Tom) Luo. Previously, he obtained the B.Sc. in Mathematics (Hua Loo-Keng talent program) University of Science and Technology of China.
His research interests include optimization theory, designing efficient optimization algorithms and their applications to machine learning and data science. Recently, I am very interested in understanding machine learning especially deep learning from an optimization perspective.
I organized two sessions in INFORMS Annual meeting 2022 on nonconvex nonsmooth optimization and nonconvex constrained optimization.
Download my resumé.
Ph.D. in Computer and Information Engineering
The Chinese University of Hong Kong (CUHK)
B.Sc. in Mathematics
University of Science and Technology of China (USTC)