Hi! I am a third-year PhD student in Data Science at Stony Brook University, advised by Professor Jiawei (Joe) Zhou. Prior to my PhD, I received my B.S. and M.S. in Applied Mathematics and Statistics from SUNY Korea – Stony Brook University, which gave me a strong foundation in statistical methods and causal inference.

My current research focuses on understanding and improving large language models — particularly in the areas of LLM safety, pretraining data analysis, and self-improvement pipelines.

Education

PhD in Data Science

Stony Brook University · Stony Brook, New York

Advisor: Professor Jiawei (Joe) Zhou

Aug 2023 – Jun 2028 (expected)

MS in Applied Mathematics and Statistics

SUNY Korea – Stony Brook University · Incheon, Korea

Advisor: Professor Hyunwook Koh

Aug 2022 – Jun 2023Award of Honor

BS in Applied Mathematics and Statistics

SUNY Korea – Stony Brook University · Incheon, Korea

Aug 2019 – Jun 2022Summa Cum Laude

Publications

Catch Me If You Can? Not Yet: LLMs Still Struggle to Imitate the Implicit Writing Styles of Everyday Authors

Zhengxiang Wang*, Nafis Irtiza Tripto*, Solha Park, Zhenzhen Li, Jiawei Zhou

EMNLP · 2025

Comprehensive microbiome causal mediation analysis using MiMed on user-friendly web interfaces

Hyojung Jang, Solha Park, Hyunwook Koh

Biology Methods and Protocols · 2023

Teaching Experience

Teaching Assistant

Stony Brook University

  • Data Analysis I
  • Statistical Computing
  • Big Data Analysis
  • Frontiers of Large Language Models
Aug 2023 – present

Teaching Assistant

SUNY Korea – Stony Brook University

  • Regression Analysis
  • Financial Mathematics
  • Applied Calculus II
  • Survey of Probability
Aug 2020 – Dec 2022