Welcome! I am Seunghoon Paik.

I am a fourth-year PhD student in the Department of Statistics at UC Berkeley. I am lucky and grateful to be advised by Ryan Tibshirani. From 2015-2021, I did my B.S. in Mathematical Sciences and B.A. in Economics in Seoul National University. From 2017-2018, I served in the Republic of Korea Army.

Outside statistics, I enjoy swimming, playing tennis, playing piano, and reading; and I am a three-time winner of Jerzy Neyman Foosball Tournament hosted by the Statistics department (SGSA).

Research Interests

My research interests broadly lie in statistical analysis and methodology on deep learning, with emphases on nonparametric statistics, optimization, generalization, uncertainty quantification, and sequential learning — both on the theoretical and applied sides. My current focus is (i) to understand statistical features of known DL models and phenomena, ****and (ii) to draw statistically rigorous conclusions from the results of these models.

News

August, 2024. I passed my qualifying exam! I appreciate the committee chair, Nikita Zhivotovskiy, and my advisor, Ryan Tibshirani, as well as other committee members: Song Mei, Yu-Xiang Wang, and Bin Yu.
September, 2023. Maximum Mean Discrepancy Meets Neural Networks: The Radon-Kolmogorov-Smirnov Test is on arXiv.
June, 2023. Semi-Parametric Contextual Bandits with Graph-Laplacian Regularization has been accepted for publication in Information Sciences journal.
October, 2022. I won the 2nd place in the 2022 Global PhD Datathon presented by Citadel.
July, 2021. I was awarded the 2-year Study Abroad Scholarship from Korean government.
June, 2021. I was awarded an Outstanding Paper Award in Korea Artificial Intelligence Association 2021 Summer Conference.

Contact

Feel free to connect with me via email at shpaik [at] berkeley [dot] edu or on LinkedIn.

<aside> <img src="/icons/graduate_gray.svg" alt="/icons/graduate_gray.svg" width="40px" /> Google Scholar

</aside>

<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/7cdf7a7f-b157-4bac-be3b-84de93541d28/dc74c202-7a49-41ea-b6c7-562dd733b172/github-mark-white.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/7cdf7a7f-b157-4bac-be3b-84de93541d28/dc74c202-7a49-41ea-b6c7-562dd733b172/github-mark-white.png" width="40px" /> Github

</aside>

<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/7cdf7a7f-b157-4bac-be3b-84de93541d28/f75a5696-528b-43f4-84eb-6b1bc2c721c0/In-White-128.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/7cdf7a7f-b157-4bac-be3b-84de93541d28/f75a5696-528b-43f4-84eb-6b1bc2c721c0/In-White-128.png" width="40px" /> LInkedIn

</aside>