Scholar
Cathy Wu
Google Scholar ID: wyjZbeMAAAAJ
MIT
Citations & Impact
Citations
2,386
H-index
19
i10-index
30
Publications
20
Co-authors
49
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of an NSF Career Award aimed at advancing learning for generalization in large-scale cyber-physical systems; papers published in ICML, NeurIPS, ICRA, TRC; Program Chair for RLC 2025; Board of Governors for IEEE ITSS; Standing Committee for TRB ACP50; Inaugural Steering Committee Chair for RERITE.
Research Experience
- Completed a postdoc with the Microsoft Research Reinforcement Learning group; worked at OpenAI, Waymo, Dropbox, Facebook, and several startups.
Education
- PhD in EECS at UC Berkeley; BS and MEng in EECS at MIT.
Background
- Associate professor at MIT in LIDS, CEE, & IDSS. My research group uses machine learning to tackle the challenging optimization and control problems that are prevalent in transportation systems. Broadly interested in AI for Engineering–developing innovative tools that empower engineers to navigate and manage the increasing complexity of modern systems.
Miscellany
- Interests include hybridizing machine learning and model-based methods for optimization; studying how real-time driving advisories can guide human drivers to achieve the same traffic-optimizing behavior of automated vehicles; devising multi-agent coordination methods suitable for up to 1000 agents; involved in projects such as Project Greenwave.
