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Mike Kyungmin Ahn
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Mike Kyungmin Ahn
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  • Assistant Professor

  • Department of Data Science, Seoul Women's University

  • Office : 50th Anniversary Hall 611

  • Email : mike@swu.ac.kr

  • Phone : +82 - 2 - 970 - 7506

  • Education

  • Ph.D. Statistics, Florida State University, 2018 (Advisor: Dr. Anuj Srivastava)

  • M.S. Applied Statistics, Purdue University, 2012 (Advisor: Dr. Bruce Craig)

  • B.S. Mathematics, Yonsei University, 2010

  • Employment

  • Assistant Professor, Department of Statistics, Seoul Women's University, 2025-

  • Assistant Professor, Department of Statistics, Keimyung University, 2022-2025

  • Data Scientist, Optimization & Analysis Laboratory, SK Innovation, 2020-2022

  • Research Scientist, Center for Biosystems Dynamics Research (BDR), RIKEN (Supervisor: Dr. Hironobu Fujiwara), 2018-2020

  • Research Interests

  • Functional Data Analysis

  • Statistical Shape Data Analysis

  • Data Science

  • Machine Learning

  • Bioinformatics

  • Teaching

  • Seoul Women's University

    • Data Preprocessing

    • Python for Data Science

    • Capstone Design

    • Advanced Statistical Analysis


  • Keimyung University

    • Regression Analysis

    • Design of Experiments

    • Big Data Programming

    • Computational Statistics

    • Contemporary Statistics

    • Mathematical Statistics

    • Probability Theory


  • Florida State University

    • STA 2023 Fundamental Business Statistics


  • Purdue University

    • STAT 301 Elementary Statistical Methods

  • Publications

  • Single-cell transcriptomic reconstruction of the human hair cycle: Capturing the temporal dynamics of skin tissue remodeling, Cell Reports, 2025

  • Evaluating the Performance of Machine Learning Models under the Generalized Linear Model framework†, Quantitative Bio-Science, 2025

  • Functional k-Nearest Neighbors algorithm based on the Fisher-Rao metric*†, The Korean Journal of Applied Statistics, 2025

  • Comparative study between Fisher-Rao framework and Dynamic Time Warping*†, Quantitative Bio-Science, 2024

  • Functional Hierarchical Clustering Using Shape Distance*†, Communications for Statistical Applications and Methods, 2024

  • Analysis of temperature differences between regions in South Korea using functional data analysis†, The Journal of Korean Data & Information Science Society,  2023

  • LED Lights Influenced Phytochemical Contents and Biological Activities in Kale (Brassica oleracea L. var. acephala) Microgreens, Antioxidants, 2023

  • A simple registration algorithm for different time domains of functional data*†, Quantitative Bio-Science, 2022

  • Comparative study between functional data analysis and multivariate data analysis for functional data*†, The Journal of Korean Data & Information Science Society,  2022

  • Mapping the molecular and structural specialization of the skin basement membrane for inter-tissue interactions, Nature Communications, 2021

  • Regression models using shapes  of functions as predictors*†, Computational Statistics & Data Analysis, 2020

  • Elastic handling of predictor phase in functional regression models*†, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

* First author; † Corresponding author

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