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Sara Fridovich-Keil is an assistant professor in the School of Electrical and Computer Engineering at Georgia Tech, where she focuses on machine learning. Prior to her appointment, she completed a postdoctoral fellowship at Stanford University and earned her Ph.D. from UC Berkeley in 2023. She also holds a Bachelor of Science in Engineering from Princeton University, obtained in 2018. Her research interests primarily include the foundations and applications of machine learning, with a specific emphasis on signal processing and computational imaging. Fridovich-Keil has been recognized for her contributions to the field, receiving the NSF Mathematical Sciences Postdoctoral Research Fellowship in 2023 and serving as a member of the IEEE Signal Processing Society Computational Imaging Technical Committee from 2025 to 2027. Her work includes significant publications on various aspects of machine learning and computational imaging, advancing the understanding and application of signal processing techniques.
Department of Computer Science: GRE scores are optional for Fall 2026.