Soohyun Ahn, Ph.D.
Associate Professor
Department of Mathematics, Ajou University.
Address: Department of Mathematics, Ajou University, 206, World cup-ro, Yeongtong-gu, Suwon 16499, Korea
Email: shahn@ajou.ac.kr
Research interests
Statistical theory & methods: Order-related statistical inference, Ranked Set Sampling, Machine learning (clustering, visualization, outlier detection etc.)
Applied statistics: mass-spectrometry data, clinical data, healthcare data analysis etc.
Education
Ph.D. of Statistics, Seoul National University (2016)
Dissertation title: Unbalancedness under RSS-structured Cluster Randomized Designs
Advisor: Dr. Johan Lim
Experience
2022.03 ~ Present. Associate Professor, Department of Mathematics, Ajou University.
2024.02 ~ 2025.01. Visiting Scholar, Department of Mathematics, University of Texas at Arlington, USA
2018.03 ~ 2022.02. Assistant Professor, Department of Mathematics, Ajou University.
2017.03 ~ 2018.03. Senior Researcher, Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center
2016.03 ~ 2017.02. Assistant Researcher, Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center
Grants
[Investigator] BK21 (Brain Korea 21 Fostering Outstanding Universities for Research) program of the National Research Foundation of Korea (NRF) grant funded by the Korea government. (2024~2027)
[Investigator] Learning & Academic research institution for Master’s·PhD students, and Postdocs (LAMP) Program of the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education. (2023-2028)
[Investigator] Statistical and Topological methodology development for multidimensional data. Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education. (2021-2025)
[Principal Investigator]Mixture model based FDR control in multiple testing. Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and Technology Information and Communication. (2019-2021)
[Principal Investigator] Efficient sample allocation for unbalanced ranked set sampling. Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education. (2017-2019)