Park, Si Hyung (Sihyung)

SihyungPark.jpg


Ph.D. Candidate
Department of Statistics
North Carolina State University

spark52 at ncsu dot edu


Biography

I am Sihyung Park (pronounced “See-He-Young”), a Ph.D. candidate in the Department of Statistics at North Carolina State University, co-advised by Professors Wenbin Lu, Shu Yang, and Leonard A. Stefanski. Before joining the Ph.D. program, I earned a B.S. in Life Sciences (thesis advisor: Professor Sung Wook Chi) and a B.Econ. in Statistics from Korea University, followed by an M.S. in Statistics from Seoul National University (advisor: Professor Byeong Uk Park).

My transition into statistics grew out of early experiences in ecology, including work at the Biodiversity and Ecology Lab and assessing endangered Grylloblattidae (icebugs or rock-crawlers) species for the IUCN Red List. Through this work, I recognized both the rapid shift in modern biology toward high-throughput molecular data and the central role that mathematical and statistical frameworks play in describing biological phenomena. Seeking a deeper understanding of molecular data, I studied transcriptome-scale RNA interference at the Molecular and Computational Genomics Lab. Driven by a desire for rigorous theoretical statistics and a focus on causal mechanisms, I transitioned into graduate training in statistics, specifically high-dimensional methods and causal inference.

My research focuses on causal inference, specifically addressing unmeasured confounding and principal stratification in observational studies, as well as sparse regression. Grounded in my early background in genomics, I am interested in bringing methodological insights to problems unique in modern multi-omics.


Education

  • North Carolina State University (Aug. 2022 - Present)
    • Ph.D candidate in Statistics
  • Seoul National University (Mar. 2020 - Feb. 2022)
    • M.S. in Statistics
    • Advisor: Byeong U. Park
  • Korea University (Mar. 2014 - Feb. 2018)
    • B.S. in Life Sciences
    • B.Econ. in Statistics (double major)
    • Summa Cum Laude
    • Advisor: Sung Wook Chi



Publications

Peer-reviewed journal articles

  • S. Park, W. Lu, S. Yang. (2026) Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death, Advances in Neural Information Processing Systems, 38, 109502-109538. (link)
  • S. Park*, S. H. Ahn*, E. S. Cho*, Y. K. Cho, E. S. Jang, S. W. Chi. (2018) CLIPick: a sensitive peak caller for expression-based deconvolution of HITS-CLIP signals. Nucleic Acids Research. 46(21), 11153-11168. (link) (*equal contribution)

Preprints and manuscripts under review

  • S. Park, S. Yang, W. Ye, M. Shan. (2026) A Tutorial on Evaluating Long-Term Clinical Efficacy via External Control Integration. (Under Review)
  • S. Park, S. Yang, M. Shan, W. Ye, I. Lipkovich. (2026) Proximal Difference-in-Differences for Long-Term Causal Learning under Confounding and Outcome Drift. (Under Review)
  • S. Park, L. A. Stefanski. (2025) Non-null Shrinkage Regression and Subset Selection via the Fractional Ridge Regression, arXiv preprint arXiv:2505.23925 (link)

Technical reports

  • Chung, H.-Y., Lee, Y-W, Park, S.-H., Lim, C.-S., Park, S.-H., Hong, M.-H., Lee, Y.-S., Lee, D.-H., Shin, H.-S., Lee, S.-J., Oh, H.-K & Gwon, S.-A. (2018) Galloisiana odaesanensis. The IUCN Red List of Threatened Species 2018. (link)
  • Chung, H.-Y., Lee, Y-W, Park, S.-H., Lim, C.-S., Park, S.-H., Hong, M.-H., Lee, Y.-S., Lee, D.-H., Shin, H.-S., Lee, S.-J., Oh, H.-K & Gwon, S.-A. (2018) Galloisiana kosuensis. The IUCN Red List of Threatened Species 2018. (link)
  • Chung, H.-Y., Lee, Y-W, Park, S.-H., Lim, C.-S., Park, S.-H., Hong, M.-H., Lee, Y.-S., Shin, H.-S., Lee, S.-J., Lee, D.-H., Oh, H.-K & Gwon, S.-A. (2018) Namkungia biryongensis. The IUCN Red List of Threatened Species 2018. (link)
  • Chung, H.-Y., Lee, Y-W, Lim, C.-S., Park, S.-H., Park, S.-H., Lee, Y.-S., Hong, M.-H., Lee, S.-J., Lee, D.-H., Shin, H.-S., Oh, H.-K & Gwon, S.-A. (2018) Namkungia magnus. The IUCN Red List of Threatened Species 2018. (link)


Presentations

  • A Flexible and Robust Sensitivity Model for Principal Ignorability Violation, Eastern North American Region (ENAR) International Biometric Society, Boston, MA, USA, March 2027 (invited, forthcoming)
  • Proximal Difference-in-Differences, Eastern North American Region (ENAR) International Biometric Society, Indianapolis, IN, USA, March 16, 2026.
  • Fractional Ridge Regression, JMP R&D Seminar, Cary, NC, USA, September 18, 2025.
  • Fractional Ridge Regression, Joint Statistical Meetings (JSM), Nashville, TN, USA, August 8, 2025.
  • CLIPick: an expression-based deconvolution software for sensitive resolving of HITS-CLIP peaks, International Union of Biochemistry and Molecular Biology (IUBMB) Congress, Seoul, Korea, June 2018


Honors and Awards

  • Merck Research Fellowship - Department of Statistics, NC State University (2026)
  • Distinguished Student Paper Award - ENAR 2026 Student Paper Conpetition (2026)
  • Honorable Mention - ASA Biopharmaceutical Section 2026 Student Paper Conpetition (2026)
  • NeurIPS Scholar Award - The 39th Annual Conference on Neural Information Processing Systems (2025)
  • Outstanding Teaching Assistant Award - Department of Statistics, NC State University (2023)
  • Korean Government Scholarship for Study Overseas - Ministry of Education, Republic of Korea (2022-2024)
  • Academic Excellence Scholarship - Seoul National University (Fall 2020, Fall 2021)
  • Korea University Future Research Grant - Korea University (2016-2018)
  • Academic Excellence Award - Korea University (2014-2015, 2017)