Research areas include sparse Fourier transforms, combining compressed sensing with deep learning, value assessment of unlabeled data, and space complexity for streaming algorithms. Published multiple papers and supervised students such as Zhao Song.
Research Experience
Has been a faculty member at the University of Texas at Austin since Fall 2014. On leave at Microsoft Research starting from Fall 2024.
Education
Undergraduate and graduate education at MIT, with Piotr Indyk as his advisor. Graduated in 2013. Postdoc at the Simons Institute in Berkeley and IBM Almaden Research Center before joining UT in Fall 2014.
Background
Associate Professor in the Department of Computer Science at the University of Texas at Austin. Research interests include fundamental limits of data-limited computational problems, signal recovery, and space complexity for functions of large data streams.
Miscellany
Ran the Algorithms and Complexity Seminar at MIT. Created and maintains NewsDiffs, which tracks post-publication changes to online news articles. Also serves as a coach for USACO (USA Computer Olympiad).