Scholar
Maryam Fazel
Google Scholar ID: vlN_kRoAAAAJ
Moorthy Family Professor of Electrical and Computer Engineering, University of Washington
Citations & Impact
Citations
6,177
H-index
27
i10-index
57
Publications
20
Co-authors
48
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of the Farkas Prize of the INFORMS Optimization Society (2025), NSF CAREER Award (2009), UWEE Outstanding Teaching Award (2009), and UAI conference Best Student Paper Award (with her student K. Dvijotham, 2014). Co-authored a paper on low-rank matrix estimation selected by ScienceWatch as the “Fast Breaking Paper” (based on citation numbers) in the area of Mathematics (August 2011).
Research Experience
- Currently, she is a Moorthy Family Professor and Amazon Scholar. She previously co-directed the Algorithmic Foundations of Data Science Institute (ADSI), which was a precursor to IFDS. Before joining UW, she was a postdoctoral scholar at Caltech.
Education
- PhD in Electrical Engineering from Stanford University, advised by Prof. Stephen Boyd; BS in Electrical Engineering from Sharif University of Technology, Iran.
Background
- Research interests include optimization in machine learning and AI, deep learning theory, learning and control, and reinforcement learning. She is the director and lead PI of the Institute for Foundations of Data Science (IFDS), which aims to develop theoretical foundations for machine learning and data science.
Miscellany
- Holds adjunct appointments in the departments of Mathematics, Statistics, and the Allen School of Computer Science and Engineering at UW.
