Cathy Wu works at the intersection of machine learning, optimization, and large-scale societal systems. Her recent research focuses on mixed autonomy systems in mobility, which studies the complex integration of automation such as self-driving cars into existing urban systems. She is interested in developing computational tools for reliable and complex decision making in critical societal systems. Cathy will be joining MIT as an assistant professor in 2019. Cathy holds a PhD in EECS from UC Berkeley, where she was part of the Berkeley AI Research lab, DeepDrive, California PATH, and RISELab, and a BS and MEng in EECS from MIT.
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