Shixiang (Woody) Zhu

Assistant Professor, Heinz College

Bio

Shixiang (Woody) Zhu is an Assistant Professor of data analytics at Heinz College of Information Systems and Public Policy, Carnegie Mellon University. He obtained his Ph.D. in Machine Learning at H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. His research lies in the broad area of machine learning, data science, and optimization, with a particular interest in developing models for spatio-temporal data and dynamic networks and decision making under uncertainty. Much of his work aims to develop new methodologies for Social Good and address high-impact problems in various applications, including police operation, power system, transportation, healthcare and epidemiology, etc. His research in police zone districting entered the finalists of 2021 INFORMS Wagner prize and won the second place of 2019 INFORMS Doing Good with Good OR. 

Research

Research lies in the broad area of machine learning, data science, and optimization, with a particular interest in developing models for spatio-temporal data and dynamic networks and decision making under uncertainty. Much of my work aims to develop new methodologies for Social Good and address high-impact problems in power system, energy and environmental policy, transportation, etc.