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Prof. Kangwook Lee

Assistant Professor
Department of Electrical and Computer Engineering
Department of Computer Sciences (by courtesy)
University of Wisconsin-Madison

MLOPT Research Group
Institute for Foundations of Data Science (IFDS)

Also, leading deep learning research @ Krafton

Email: +first_name.last_name+ at +wisc dot edu
Office: M1002G, Engineering Centers Building
Phone: +1-608-265-4841
Webpage, Twitter
(by publication date), (by citation)


I am an Assistant Professor at the Electrical and Computer Engineering department and the Computer Sciences department (by courtesy) at University of Wisconsin-Madison. I also lead deep learning research at Krafton. Previously, I was a Research Assistant Professor at Information and Electronics Research Institute of KAIST, working with Prof. Changho Suh. Before that, I was a postdoctoral scholar at the same institute. I received my PhD in May 2016 from the Electrical Engineering and Computer Science department at UC Berkeley and my Master of Science degree from the same department in December 2012, both under the supervision of Prof. Kannan Ramchandran. I was a member of the BLISS lab and the BASiCS group. I received my Bachelor of Science degree in Electrical Engineering from KAIST in May 2010.

Research Interests

machine learning, deep learning, information theory and coding

Academic Appointments

  • Assistant Professor, UW Madison, 2019.08 –
  • Research Assistant Professor, KAIST, 2018.10 – 2019.06
  • Postdoctoral Fellow, KAIST, 2016.06 – 2018.09
  • Graduate Student Researcher, UC Berkeley, 2010.08 – 2016.05

Recent Talks

  • (2022) On a bilevel optimization approach to fair classification (USC EE, UCSB CCDC, IOS’22)
  • (2021, 2022) Improving Fairness via Federated Learning (UC Berkeley BLISS, KAIST AI International Symposium)
  • (2021) Information Theory and Coding for Trustworthy and Scalable Machine Learning (Seoul National University, POSTECH AI)


  • Doctor of Philosophy (Ph.D.), University of California, Berkeley, 2010.08 - 2016.5
    • Major : Electrical Engineering and Computer Science
    • Advisor : Prof. Kannan Ramchandran
    • Thesis : Speeding up distributed storage and computing systems using codes
  • Master of Science (MS), University of California, Berkeley, 2010.08 - 2012.12
    • Major : Electrical Engineering and Computer Science
    • Advisor : Prof. Kannan Ramchandran
    • Thesis : An Optimized Distributed Video-on-Demand Streaming System: Theory and Design
  • Bachelor of Science (BS), KAIST, 2006.03 - 2010.05

Awards and Honors

  • ECE Grainger Faculty Scholarship Award, 2022, UW Madison ECE.
  • Young Investigator Grants Award, 2022, KSEA. (link)
  • The Joint Communications Society/Information Theory Society Paper Award, 2020, IEEE. (link)
  • The Outstanding Graduate Student Instructor Award, 2016. (link)
  • Best Paper Award Finalist, 2013, IEEE MASCOTS 2013
  • KFAS Fellowship, 2010 - 2015, Korea Foundation for Advanced Studies (KFAS)
  • (Presidential Award) Korea Talent Award (대한민국 인재상), 2009, Korea Foundation for Advancement of Science & Creativity (KOFAC)

Selected Services

  • Journal Associate Editor
    • Action Editor, Transactions on Machine Learning Research, 2022-present
  • Senior Program Committee
    • Area Chair, NeurIPS 2022, 2021
    • Program Committee, MLSys 2022, 2021, 2020

Work Experience

  • Krafton, 2022 - present
  • Software Engineer Intern, Lytmus Inc., 2013.06 – 2013.09
  • R&D Intern, Samsung Electronics, 2009.07
  • R&D Intern, LG Display, 2008.06 – 2008.08