Baosen Zhang

Applications in Engineering
Machine Learning
Electrical Engineering

Baosen Zhang is an assistant professor in the department of Electrical Engineering at the University of Washington. His research interests are in the area of power and energy systems, spanning from control/optimization, power electronics to statistics and machine learning. He completed by PhD in Electrical Engineering at UC Berkeley in 2013, where he worked with David Tse. He was a postdoc at Stanford, jointly hosted by Ramesh Johari and Ram Rajagopal. He received my undergraduate degree from Engineering Science (Electrical Option) at the University of Toronto.