Cathy Wu

Cathy Wu is the Gilbert W. Winslow Career Development Assistant Professor in MIT’s Department of Civil and Environmental Engineering, the Institute for Data, Systems, and Society, and the Laboratory for Information and Decision Systems. She studies machine learning and urban systems. Her research focuses on the computational challenges surrounding the integration of autonomy into society. She has received numerous fellowships and awards, including a first place Institute of Electrical and Electronics Engineers dissertation award and a best paper award for her work on connecting clustering algorithms to ridesharing. She earned a BS and MEng from MIT, and a PhD from University of California, Berkeley.

Publications

• Wu, C., Kreidieh, A. R., Parvate, K., Vinitsky, E., Bayen, A. M. (2021). Flow: A Modular Learning Framework for Autonomy in Traffic. IEEE Transactions on Robotics.
• Wu, C., Pozdnukhov, A., Bayen, A. M. (2019). Block Simplex Signal Recovery: Methods, Trade-Offs, and an Application to Routing. IEEE Transactions on Intelligent Transportation Systems 21 (4), 1547-1559.
• Wu, C., Kreidieh, A. R., Bayen, A. M. (2018). Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning. International Conference on Intelligent Transportation Systems (ITSC).
• Wu, C., Kreidieh, A. R., Vinitsky, E., Bayen, A. M. (2017). Emergent behaviors in mixed-autonomy traffic. Conference on Robot Learning (CoRL).
• Wu, C., Kamar, E., Horvitz, E. (2016). Clustering for Set Partitioning with a Case Study in Ridesharing. IEEE Intelligent Transportation Systems Conference (ITSC).

Media

• April 2, 2020: TWIML AI Podcast, Simulating the Future of Traffic with RL.
• November 27, 2019: MIT News, School of Engineering third quarter 2019 awards.
• July 10, 2019: MIT News, IDSS hosts inaugural Learning for Dynamics and Control conference.
• March 12, 2019: MIT News, CEE event showcases multidisciplinary opportunities.