Postdoctoral researcher @ ALIN-LAB, a research group led by Prof. Jinwoo Shin at KAIST.

Contact: jlee620 [at] illinois [dot] edu

**span**{ Statistical learning theory, Theory of deep learning, Information theory, High-dimensional statistics }

- Ph.D. in ECE@UIUC, May 2019 (advisor: Maxim Raginsky ).
- Thesis title: Robustness and generalization guarantees for statistical learning of generative models.

- M.S. in ECE@UIUC, Dec 2015.
- B.S. in EE+MS@KAIST with
*summa cum laude*, Feb 2013 (advisor: Yung Yi)

- J.L. and M. Raginsky, “Learning finite-dimensional coding schemes with nonlinear reconstruction maps”, to appear in SIAM Journal on Mathematics of Data Science (SIMODS).
- J.L. and M. Raginsky, “Minimax statistical learning with Wasserstein distances,” NeurIPS 2018 .
- J.L., M. Raginsky, and P. Moulin “On MMSE estimation from quantized observations in the nonasymptotic regime,” ISIT 2015.

- TA, ECE563 Information theory, UIUC, Fall 2017.
- TA, ECE498 Introduction to stochastic systems, UIUC, Spring 2017.
- TA, ECE598 Statistical learning theory, UIUC, Fall 2015.

- “Minimax Learning: with implications on domain adaptation and adversarial attack,” Naver Tech Talk, Jan 2019.

- Travel awards: 2015 ISIT, 2018 NeurIPS, University of Illinois Graduate College Fall 2018.
- ASAN fellow 2013.
- National Science and Engineering Undergraduate Scholarship, Korea, 2009–2012.

- {ACML, NeurIPS, ICML, AISTATS}
_{2019}.

- I worked as an ASAN fellow at The Heritage Foundation, from May to July 2013,
- where I worked with James Sherk and Salim Furth,
- wrote this article on Greek austerity policies,
- and assisted a preparation of this testimony before the committee on the budget of U.S. Senate.

- I was a founder-librarian at
**Urbana nanolibrary**(now defunct), where I lent 300+ books to 40+ members, from Dec 2013 to Aug 2018.

(last updated: Feb 23, 2019.)