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Dan Li is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Washington. She received her Ph.D. in Industrial Engineering and M.S. in Statistics from Georgia Institute of Technology, and B.S. in Automotive Engineering from Tsinghua University in Beijing, China. Her primary research focuses on developing new data-driven algorithms aimed at enhancing cyber-physical resilience and security in critical infrastructures. Dan has been recognized for her contributions with several awards including the NSF CAREER Award and the IISE Transactions Application Paper Award. Additionally, she has received multiple Track Paper and Student Paper Awards at the IISE Annual Meetings and INFORMS QSR community. Her research interests encompass applied statistics, AI/ML, cyber-physical security resilience, online anomaly detection, and reinforcement learning, with current projects exploring the understanding of Integrated Cyber-Physical Resilience in Continuous Critical Manufacturing systems and creating a Human-Centered Cybersecurity framework for robotic surgery.
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