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Sewoong Oh

Associate Professor
Allen School of Computer Science & Engineering
University of Washington

sewoong@cs.washington.edu
Bill & Melinda Gates Center, room 207
University of Washington
Seattle, WA 98195

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About

Sewoong Oh is an Associate Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Previous to joining University of Washington in 2019, he was an Assistant Professor in the department of Industrial and Enterprise Systems Engineering at University of Illinois at Urbana-Champaign since 2012. He received his PhD from the department of Electrical Engineering at Stanford University in 2011, under the supervision of Andrea Montanari. Following his PhD, he worked as a postdoctoral researcher at Laboratory for Information and Decision Systems (LIDS) at MIT, under the supervision of Devavrat Shah.

Sewoong's research interest is in theoretical machine learning in topics including Generative Adversarial Networks, blockchains, rumor source obfuscation, matrix and tensor completion, ranking, crowdsourcing, information quantity estimation, differential privacy. He was co-awarded the ACM SIGMETRICS best paper award in 2015, NSF CAREER award in 2016, ACM SIGMETRICS rising star award in 2017, and GOOGLE Faculty Research Award in 2017.

Here is a more detailed CV and Publications.

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