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Jelena Diakonikolas is an Assistant Professor in the Department of Computer Sciences and, by courtesy, the Department of Statistics at the University of Wisconsin-Madison. Her main research interests lie in large-scale optimization, particularly in its applications to machine learning. Prior to joining UW-Madison, she was a Postdoctoral Fellow at UC Berkeley's Foundations of Data Analysis (FODA) TRIPODS Institute, where she worked with Mike Jordan. Diakonikolas has also held positions as a Postdoctoral Associate at Boston University and completed her Ph.D. in Electrical Engineering at Columbia University. Her research encompasses first-order convex and non-convex optimization algorithms, momentum-based methods, and optimization learning applications. Diakonikolas has been recognized with several awards, including the Google ML & Systems Junior Faculty Award and the NSF CAREER Award. She is actively involved in academic committees and has organized various workshops and conferences, contributing to the advancement of optimization methods in machine learning.
University of Wisconsin-Madison • Madison, WI
Assistant Professor in the Department of Computer Sciences and Department of Statistics, focusing on large-scale optimization and machine learning.
Department: Department of Computer Sciences