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Maryam Fazel is the Moorthy Family Professor at the University of Washington's Department of Electrical and Computer Engineering and holds adjunct appointments in Mathematics, Statistics, and the Allen School of Computer Science and Engineering. She received her PhD in Electrical Engineering from Stanford University and her Bachelor's degree in Electrical Engineering from Sharif University of Technology in Iran. Previously, she was a postdoctoral scholar at Caltech. Her research interests focus on optimization, machine learning, artificial intelligence, deep learning theory, learning control, and reinforcement learning. As the direct principal investigator of the Institute for Foundations of Data Science (IFDS), she leads multi-university research initiatives funded by significant grants, including a $12.5 million NSF TRIPODS Phase II grant. Maryam has received several prestigious awards, such as the Farkas Prize from the INFORMS Optimization Society in 2025 and the NSF CAREER Award in 2009, along with numerous teaching and research accolades. She has also served as an editorial board member for various academic journals and has been an active participant in numerous conferences, including her role as Program Chair for the ICML 2025 conference.
University of Washington • Seattle, WA
Professor in the Department of Electrical and Computer Engineering, focusing on research in optimization and machine learning.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.