Summary
Cathy Wu is an assistant professor at MIT with 11 years of experience at the intersection of machine learning, civil and environmental engineering, and data systems, leading research in LIDS, CEE, and IDSS. She combines rigorous academic training (BS and M.Eng from MIT, PhD from UC Berkeley) with applied research that bridges theoretical ML and real-world infrastructure problems. Based in Cambridge, she directs a group focused on scalable, data-driven solutions for complex engineered systems, often translating advances in learning into policy- and deployment-ready tools. Her trajectory reflects a blend of deep technical expertise and systems thinking, informed by long-standing ties to both MIT and broader engineering education from Lehigh. Colleagues describe her work as both methodologically innovative and unusually attentive to practical constraints in deployment.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of California, Berkeley
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Massachusetts Institute of Technology
Lehigh University
Emmaus High School
German, Chinese