Jiawei Zhang

Jiawei Zhang is a School of Engineering Distinguished Postdoctoral Fellow whose broad research interests include the design and analysis of fundamental optimization algorithms for decision-making, with applications to machine learning, operational research, power engineering, and a wide range of social science challenges in the big-data regime. His doctoral work primarily centered on fundamental optimization and machine learning algorithms. As a postdoc, he will apply this prior work to a host of practical engineering problems. He will also collaborate on projects focused on designing efficient and robust algorithms for sustainable power systems and on fundamental optimization theory.