Cathy Wu, an associate professor at MIT's Department of Civil and Environmental Engineering and the Institute for Data, Systems, and Society, focuses her research on applying machine learning and reinforcement learning to improve complex systems such as transportation, logistics, supply chains, manufacturing, and resource allocation.
Wu's work demonstrates that reinforcement learning can serve as a valuable tool for informing transportation policy by enabling evidence-driven solutions to problems of practical importance.