Former Members - Biomedical Mathematics Group

Senior Researchers

Pan Li

Senior Researcher (2023.04-)

Ph.D. in Computational Biology from University of Leeds

Currently, Assistant Professor at State Key Laboratory of Transvascular Implantation Devices, The Second Affiliated Hospital, School of Medicine, Zhejiang University

Research: Computational biomedicine, cardiac arrhythmias, cardiotoxicity, circadian rhythms

Aurelio A. de los Reyes V

Senior Researcher (2021.10 – 2023.01)

Currently an Associate Professor at the Institute of Mathematics in the University of the Philippines Diliman

Research: Infectious disease modeling, Physiological systems modeling, optimal control

Postdoctoral Researchers

Shingo Gibo

Postdoctoral Fellow (2024.11-2026.04)

Currently an Assistant Professor at the Agriculture Department of Bioresource Sciences, Kyushu University

Research: Hibernation, waveform analysis

Hyun Kim (김현)

Postdoctoral Fellow (2021.10-2026.02)

Currently an Assistant Professor at the Department of Genetics and Biotechnology, Kyung Hee University

Research: Single cell transcriptomics data analysis, Dimensionality reduction, Clustering analysis, Big data analysis

Kévin Spinicci

Postdoctoral Fellow (2024.03.04-2025.08)

Research: Single cell sequencing data analysis

Gavina, Brenda Lyn

Postdoctoral Fellow (2023.11.01-2025.05)

Currently an Assistant Professor at the Institute of Mathematics in the University of the Philippines Diliman

Research: Reproductive systems modeling, oral contraceptive optimization

Bryan Hernandez

Postdoctoral Fellow (2021.10 – 2021.08)

Currently an Assistant Professor at the Institute of Mathematics in the University of the Philippines Diliman

Research: Chemical reaction network theory, carbon cycle modelling

Candan Celik

Postdoctoral Fellow (2022.11.01-2023.05.19)

Currently an Assistant Professor at Istanbul Aydin University

Research: Stochastic dynamics modeling of intracellular events

Graduate Students

Jeong, Eui Min (정의민)

Postdoctoral Fellow (2023.03.02-2025.08)

Currently an Assistant Professor at the Department of Data Science, Inha University

Research: Circadian clock modeling, biological oscillators, machine learning for biomedical data

Kim, Dae Wook

Graduate Student (- 2021.08)

Previously, Van Loo Postdoctoral Fellow and Assistant Professor at the Department of Mathematics, University of Michigan, Ann Arbor
Currently an Assistant Professor in the Department of Brain and Cognitive Sciences at KAIST

Research: Circadian rhythms, cancer chronotherapy, sleep-wake dynamics, biological oscillators, wearable data analysis

Hong, Hyukpyo (홍혁표)

Graduate Student (-2023.08)

Currently, Van Vleck Postdoctoral Fellow at University of Wisconsin-Madison

Research: Koopman operator theory, Scientific Machine Learning, Chemical reaction network theory, Bayesian inference

Chae, Seokjoo (채석주)

Graduate Student (-2024.08)

Currently, Assistant Professor at Sungsil University

Research: spatiotemporal dynamics, AI-driven data analysis, circadian rhythms, immunotherapy modeling, and single-cell RNA sequencing

Tyczynska Malgorzata Anna

Graduate Student (2016.03 – 2018.02)

Currently, Doctoral student in Cancer Biology, University of South Florida & Moffitt Cancer Center

Research: Integrated mathematical oncology

Eom, Eunjin (엄은진)
Graduate Student

Previously, graduate student at Department of Economic Statistics, Korea University

Research: Epidemiological parameter estimation, disease-spread modeling

Shin, Seolah (신설아)

Graduate Student

Previously graduate student at Dept. of Applied Mathematics, Korea University

Currently, staff at Korea Asset Pricing

Research: Spatiotemporal dynamics

Undergraduate Students

Park, Seho (박세호)

Previously undergraduate student at Dept. of Mathematical Science, KAIST

Currently, graduate student at Dept. of Mathematics, University of Wisconsin-Madison

Research: Causal inference, wearable data analysis

Ha, Seokmin (하석민)

Previously undergraduate student at Dept. of Mathematical Science, KAIST

Currently, graduate student at Massachusetts Institute of Technology

Research: Machine learning for sleep disorder screening, circadian rhythms

Reinatt Hansel Wijaya

Previously undergraduate student at Depts. of computer science and business & technology management, KAIST

Currently, graduate student at Ecole Polytechnique Federale de Lausanne

Research: Wearable sleep analysis, digital sleep intervention systems

Lee, Minki

Previously undergraduate student at Dept. of Mathematics, University of Michigan

Currently, research scientist in the Department of Mathematics, University of Michigan

Research: Wearable data analysis

Moon, Seokhwan (문석환)

Previously, undergraduate student at the Department of Mathematics, POSTECH

Currently, graduate student in the University of Wisconsin-Madison

Research: Chemical reaction networks analysis

Kim, Juhyeon (김주현)

Previously, undergraduate student at the Department of Biological Sciences, KAIST

Currently, graduate student at the Department of Mathematical Sciences, KAIST

Research: Circadian phase estimation using wearable data

Kim, Sungmun (김성문)

Previously, undergraduate student at the Department of Mathematical Sciences, KAIST

Currently, graduate student at the Department of Mathematical Sciences, KAIST

Research: Symbolic regression, interpretable machine learning

Ko, Kyeongtae (고경태)

Previously, undergraduate student at Department of Statistics, Kyungpook National University

Currently, graduate student at the Department of Statistics, Seoul National University

Research: Infectious disease modeling

Chung, Chang Yoon (정창윤)

Undergraduate researcher

Previously undergraduate student at Department of Mathematical and Statistical Sciences, University of Alberta

Currently, graduate student at Université de Montréal

Research: Circadian rhythms, biological oscillators

Lee, Sieun (이시은)

Previously, undergraduate student at Department of Mathematics, Kyungpook National University

Currently, graduate student at Imperial Business School, Imperial College London

Research: Symbolic regression, interpretable machine learning

Faeyza Rishad Ardi

Previously, undergraduate student at School of Computing, KAIST

Currently, Research apprentice at SEACrowd

Research: Single-cell RNA-seq analysis, machine learning for sleep disorders