- We are dedicated to advancing statistical methodology and data-driven decision making in the era of big data and AI. Our vision is to develop robust and interpretable statistical methods that address the challenges posed by complex, high-dimensional, and structured data, with particular emphasis on change-point detection, nonparametric hypothesis testing, or spatial clustering, and with applications in manufacturing, financial engineering, or social/biomedical sciences.
- We strongly recommend that students who wish to join our lab first participate in a lab internship (also open to students from other universities) or conduct individual research.
PhD Students
- Mingyu Go (gomg9157 [at] kaist.ac.kr)
MS Students
- Serim Han (haser [at] kaist.ac.kr)
- Jinhyeok Park (zinhyeok [at] kaist.ac.kr)
- Taejoon Yang (tj2875 [at] kaist.ac.kr)
Administrative Staff
- Yeon Jung Lim (p2096 [at] kaist.ac.kr)
Undergraduate Lab Interns
- 2025: Dogeon Lee (KAIST ISE), Changseong Jang (SNU IE), Jaeyun Song (KAIST ISE),
Kyungheon Lee (KAIST ISE), Sujeong Baek (KAIST ISE), Sangheon Kang (KAIST ISE),
Sumin Cho (KAIST ISE)
- 2024: Minyoung Shin (SKKU Stat), Hyunho Lee (KAIST ISE), Sehyeok Park (SKKU IE),
Yanghyeon Park (KAIST EE), Seungchan Na (SNU Stat)