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Eric Price is an Associate Professor in the Department of Computer Science at the University of Texas at Austin. He completed his doctoral studies at the Massachusetts Institute of Technology in 2013, where he was advised by Piotr Indyk. Following his graduation, he held a postdoctoral position at the Simons Institute in Berkeley before joining the University of Texas in Fall 2014. His research interests focus on exploring fundamental limits in data-limited computational problems, especially in the context of data recovery and efficient signal processing. He has made significant contributions to areas such as sparse Fourier transforms and the application of deep learning models in compressed sensing. Price's work has led to the development of algorithms with optimal sample efficiencies and has provided insights into lower bound problems in streaming computations. He actively teaches courses related to algorithms and complexity and has contributed to algorithmic education at various levels.
University of Texas at Austin • Austin, Texas
Teaching and conducting research in computer science, focusing on computational limits and algorithms.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.