Jiawei Zhang is currently a postdoctoral scholar in the Laboratory for Information & Decision Systems (LIDS) at MIT, working with Prof. Asuman Ozdaglar. He also works closely with Prof. Saurabh Amin. He obtained the Ph.D. degree in Computer and Information Engineering from the Chinese University of Hong Kong (CUHK), with an advisory of Prof. Zhi-Quan (Tom) Luo. Previously, he obtained the B.Sc. in Mathematics (Hua Loo-Keng Talent Program) from the 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, he is very interested in understanding machine learning especially deep learning from an optimization perspective.
He organized two sessions at 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 (Hua Loo-Keng Talent Program)
University of Science and Technology of China (USTC)