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Sewoong OhAssociate Professor, Allen School of Computer Science & Engineering, University of Washington sewoong@cs.washington.edu |
News
Congratulations to Jonathan Hayase on the 2022 NSF Graduate Research Fellowship.
Excited to be a part of the new AI Institute for future edge networks and distributed intelligence (led by Ness Shroff starting October 1st 2021) with a great team of colleagues.
Congratulations to Xiyang Liu and Mohammad Vahid Jamali on the Qualcomm Innovation Fellowship 2021.
Excited to be a part of the new NSF AI Institute on Foundations of Machine Learning (led by Adam Klivans and Alex Dimakis starting September 1st 2020) with a great team of colleagues at UW, UT Austin, MSR, and Wichita State University. UW news article
Together with Hyeji Kim and Sreeram Kannan, I had the pleasure of giving a tutorial on ‘‘Information Theory and Deep Learning: an Emerging Interface’’ at ISIT June 2018 at Vail, Colorado. Here are the Slides. Here is a link to a video recording.
Find out more about PacGAN, our new principled apporach to mitigate mode collapse in training Generative Adversarial Networks. slides and video recording of a talk I gave at Princeton is now available.
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 robust statistics, meta-learning, generative adversarial networks, social computing, and 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 and 2020.
Here is a more detailed CV and Publications.
Teaching
Group
Current
Xiyang Liu
Raghav Somani
Jonathan Hayase
Melih Yilmaz (coadvised with Bill Noble)
Thao Nguyen (coadvised with Ludwig Schmidt)
Rishi Jha
Alumni
Shiyu Liang (PostDoc 2022, now at Shanghai Jiao Tong University)
Kiran Thekumparampil (PhD 2022, now at Amazon)
Weihao Gao (PhD 2019, co-advised with Pramod Viswanath, now at ByteDance)
Jungseul Ok (PostDoc 2019, now at PosTech)
Harshay Shah (BS 2019, now at MIT)
Hyeji Kim (PostDoc 2018, co-advised with Pramood Viswanath, now at UT Austin)
Ashish Khetan (PhD 2018, now at Amazon)
Giulia Fanti (Visiting student 2014-2016, now at CMU)
Peter Kairouz (PhD 2016, co-advised with Pramod Viswanath, now at Google)