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Zhihui Zhu
Postdoctoral Fellow
Center for Imaging Science (CIS)
Mathematical Institute for Data Science
Johns Hopkins University

319 Clark Hall
3400 N Charles St.
Baltimore MD 21218, USA


(Photo by SL, at Maroon Bells Aspen, September 2016)
I am a Postdoctoral Fellow in the Mathematical Institute for Data Science at The Johns Hopkins University, working with Prof. Rene Vidal and Prof. Daniel Robinson. I obtained my Ph.D. degreee in Electrical Engineering from the Colorado School of Mines in 2017. My research focuses on the interaction among the fields of signal processing, data analysis, and machine learning, using tools from optimization, approximation theory, and harmonic analysis. I am especially interested in efficient and reliable methods for extracting useful information in large-scale and high-dimensional signals and data. A few current projects include landscape analysis of (nonsmooth) nonconvex optimizations; efficient and provably correct algorithms in the offline, stochastic, or distributed settings by exploiting the geometric properties; theoretically understanding of deep learning.

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