Seungwoo Kang
I am a postdoctoral researcher of statistics at Seoul National University (SNU), Korea.
I am currently serving as a technical research personnel (전문연구요원) and available to start a position from March 2026.
My research interest lies in non-Euclidean, high-dimensional data analysis, and statistics in the social sciences.
Contact me via E-mail.
Academic Appointments
- Postdoctoral Researcher, The Research Institute of Basic Sciences, Seoul National University, Supervisor: Professor Hee-Seok Oh — Mar. 2025–Present
Education
BSc
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Bachelor of Science — Feb. 2020
Major: Statistics, Minor: Computer Science and Engineering
Seoul National University, Seoul, Republic of Korea
Graduation Honor: Summa Cum Laude
Publications 
(†: Equal contribution)
2024
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Seungwoo Kang and Hee-Seok Oh. Forecasting South Korea's Presidential Election via Multiparty Dynamic Bayesian Modeling. International Journal of Forecasting 40(1), 124–141. [www | R code]
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Seungwoo Kang and Hee-Seok Oh. Novel Sampling Method for the von Mises–Fisher Distribution. Statistics and Computing 34(3), 106. [www | R package | R code]
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Seungwoo Kang and Hee-Seok Oh. Probabilistic Principal Curves on Riemannian Manifolds. IEEE Transactions on Pattern Analysis and Machine Intelligence 46(7), 4843–4849. [www | R code]
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Seungwoo Kang and Hee-Seok Oh. Spherical Random Projection. Journal of the Royal Statistical Society Series B: Statistical Methodology 86(5), 1364–1382. [www | R code]
2025
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Seungwoo Kang†, Kyusoon Kim†, Youngwook Kwon†, Seeun Park†, Seoncheol Park†, Ha-Young Shin†, Joonpyo Kim, and Hee-Seok Oh. Semiparametric Approaches for the Inference of Univariate and Multivariate Extremes. Extremes 28(1), 123–148. [www | R code]
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Seungwoo Kang and Hee-Seok Oh. On a Notion of Graph Centrality Based on L1 Data Depth. submitted. [arXiv | R package | R code]
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Seungwoo Kang and Hee-Seok Oh. L1 Prominence Measures for Directed Graphs. submitted. [arXiv | R package | R code]
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Seungwoo Kang and Hee-Seok Oh. L1 Prominence-Based Network Analysis Using R. submitted. [R package]
Conference Talks
2023
- Novel Sampling Method for the von Mises–Fisher Distribution. KSS Summer Conference (Busan, Korea)
- Spherical Random Projection. The 64th World Statistics Congress (Ottawa, Canada)
2025
- Forecasting South Korea's Presidential Election via Multiparty Dynamic Bayesian Modeling. KASR Spring Conference (Seoul, Korea)
- On a Notion of Graph Centrality Based on L1 Data Depth. KSS Summer Conference (Gyeongju, Korea)
Grants
- Statistical Methods for Non-Euclidean Dimension Reduction. Sejong Science Fellowship (Domestic Track), PI, Ministry of Science and ICT — Mar. 2025–Present
Honors
2022
- Scholarship for Next Generation Scholars, SNU
- Outstanding Young Researcher/Student Award (2nd prize), IASC-ARS
- Kim Woochul Teaching Award, Department of Statistics, SNU
- Best Oral Presentation Award (1st prize), KSS
2023
- Best Oral Presentation Award (4th prize), KSS
2024
- IMS Hannan Graduate Student Travel Award, IMS
2025
- SPARC Best Ph.D. Dissertation Award, College of Natural Sciences, SNU
- Gallup Korea Award, KASR
Software 
- rvMF: Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors [CRAN]
- L1centrality: Graph/Network Analysis Based on L1 Centrality [CRAN]
Associations
Referee Service
- Communications in Statistics - Simulation and Computation
- Computational Statistics
- IEEE/CAA Journal of Automatica Sinica
- IEEE Transactions on Neural Networks and Learning Systems
- Journal of the Korean Statistical Society
- Statistics and Computing
Teaching Assistant Experience
2020
- Statistics (033.019) — Spring
- The World of Uncertainty and Statistics (046.003) — Fall
2021
- Statistical Prediction (One-day lecture hosted by Statistical Research Institute of SNU) — Winter
- Experimental Design and Lab. (326.315) — Spring
- Sampling Design and Survey Practice (326.214) — Fall
2022
- Statistics (033.019) — Winter
- Exploratory Data Analysis, Regression Analysis, ANOVA (One-day lecture hosted by Statistical Research Institute of SNU) — Winter
- Experimental Design and Lab. (326.315) — Spring
- Statistics (033.019) — Summer
- The World of Uncertainty and Statistics (046.003) — Fall
2023
- Statistics (033.019) — Winter
- Statistical Prediction (One-day lecture hosted by Statistical Research Institute of SNU) — Winter
2024
- Regression Analysis and Lab. (326.313) — Spring
Skills
- R, C, C++, Java, Julia
- Adobe Photoshop, Illustrator, InDesign
Misc.
I served as a vice editor-in-chief (Dec. 2017–May 2018), an editor of the photo & design desk (Jun. 2017–Nov. 2017), and a photo reporter (Mar. 2016–May 2017) for the Daehakshinmoon, a weekly newspaper of SNU.
On March 2018, I won the 9th SISAIN University Press Award in the photography & graphics sector.
Selected works: 2016.10.17, 2016.11.14, 2017.03.06, 2017.05.15
References
Available upon request