me

Youngtak Sohn

Department of Mathematics, MIT
77 Massachusetts Avenue
Cambridge, , MA 02139-4307
youngtak at mit.edu

I am a postdoc at MIT Mathematics hosted by Elchanan Mossel and Nike Sun. I am also a member of NSF/Simons program Collaborations on the theoretical foundations of deep learning. My research lies at the intersection of mathematical statistics, probability theory, and statistical physics. Previously, I received my Ph.D. at Stanford Statistics, where I was fortunate to be advised by Amir Dembo. Here is my CV and Google Scholar page.

Publications and preprints

Talks

  • Duke University Workshop in Operations Research and Data Science, Nov 2023 [link]
  • Harvard Probability Seminar, Nov 2023 [link]
  • Joint Statistical Meetings, Statistical Learning Theory session, Aug 2023
  • UT Austin, Graduate Mini-School in Groups, Dynamics, and Probability, May 2023 [link]
  • Seoul National University Probability Seminar, Aug 2022 [link]
  • Harvard University Probabilitas Seminar, Apr 2022 [link]
  • University of Illinois Chicago Combinatorics and Probability Seminar, Apr 2022 [link]
  • Symposium on Foundations of Computer Science (FOCS), Feb 2022 [link]
  • Seoul National University Statistics Seminar, Oct 2021 [link]
  • MIT Probability Seminar, May 2021 [link]
  • KAIST Probability Seminar, Dec 2020 [link]
  • Deep Learning(MoDL) Workshop, Dec 2020 [link]
  • Stanford Probability Seminar, Oct 2020 [link]
  • Korea institute of Advanced Studies(KIAS) Analysis/Probability Seminar, Aug 2020 [link]
  • Korea institute of Advanced Studies(KIAS) Analysis/Probability Seminar, Dec 2019 [link]

    Teaching