People


Lab webpage

Postdoc Fellows

Gyuyoung Hwang

  • Ph.D in Mathematical Sciences, Seoul National University, Korea
  • Research topic: Dynamical systems

    1. Hwang G, Jo H, Kim JK, Data-Driven Inference of Coupling Functions in Oscillatory Systems via Physics-Informed Neural Networks, Physical Review Research (2026)

Song, Yun Min (송윤민)

  • Ph.D. in Mathematics, KAIST, Korea
  • Research topic: Biochemical reaction network model reduction, analysis and application of human activity/sleep data from wearable devices via mathematical model

    1. Song YM, Jeon S, Cho A, Chung S, Ahn Y, Suh S*, Kim JK*, Individual and occupational predictors of sleep intervention response among shift-working firefighters, Journal of Behavioral and Cognitive Therapy (Accepted)

    2. Cawiding OR, Song YM, Kim JK, A reframed landscape of causal emergence, Patterns (2026)

    3. Vu NAT, Song YM, Kim SK, Yun H, Lee S, Kim JK, Chae JW, Beyond the Michaelis–Menten: Evaluation of a tQSSA-Based IVIVE Approach for Predicting In Vivo Intrinsic Clearance From Hepatocyte Assays, CPT: Pharmacometrics & Systems Pharmacology (2025)

    4. Song YM, Choi SJ, Lim D, Wijaya RH, Jang HJ, Park HR, Joo EY*, Kim JK*, A Digital, Real-Time, History-Based Sleep-Management Tool to Enhance Alertness, Sleep (2025)

    5. Song YM, Lee K, Kim JK, Validity of the total QSSA in stochastic biochemical reaction networks, KSIAM Journal (2025)

    6. Lim D, Choi SJ, Song YM, Park HR, Joo EY*, Kim JK*, Enhanced Circadian Phase Tracking: A 5 Hour DLMO Sampling Protocol Using Wearable Data, Journal of Biological Rhythms (2025)

    7. Lim D, Jeong J, Song YM, Lee HJ*, Kim JK*, Accurate Prediction of Mood Episodes in Mood Disorder Patients Using Sleep and Circadian Rhythm Features from Wearables, npj Digital Medicine (2024)

    8. Song YM, Kim JK, What's driving rhythmic gene expression: Sleep or the clock?, Cell Systems (2024)

    9. Song YM, Campbell S, Shiau L, Kim JK*, Ott W*, Noisy delay denoises biochemical oscillators, Physical Review Letters (2024)

    10. Song YM, Jeong J, de los Reyes AV, Lim D, Cho CH, Yeom JW, Lee T, Lee JB, Lee HJ*, Kim JK*, Causal Dynamics of Sleep, Circadian Rhythm, and Mood in Major Depression and Bipolar Disorder Patients, eBioMedicine (2024)

Hyun, Jin Woo (현진우)

  • Ph.D. in Mathematics, Hankuk University of Foreign Studies, Korea
  • Research topic: Mathematical modeling and analysis of biological systems

Chitaranjan Mahapatra

  • Ph.D. in Computational Neurophysiology, Indian Institute of Technology Bombay, India
  • Research topic: Mathematical modeling of neural and cardiac systems

Seongjin Choi (최성진)

  • Ph.D. in Mathematics, POSTECH, Korea
  • Research topic: Mathematical modeling

Graduate students

Dongju Lim

  • B.S. in Mathematical Sciences, KAIST, Korea
  • Research topic: Time-series data analysis using machine-learning and variance reduction in stochastic reaction network

    1. Bang SY, Awan A, Lim D, Hwang S, Koo B, Kim JK*, Jung KY*, Delayed Circadian Rhythm in Restless Legs Syndrome and Its Association with Symptom Severity: An Actigraphy-Based Study, Journal of Biological Rhythms (Accepted)

    2. Lim D, Kim J, Kim JH, Kim JK*, Initial Condition Decision to Ensure Reliable Circadian Phase Estimation with Shorter-Term Wearable Data, Journal of Biological Rhythms (2026)

    3. Lim D, Moon S, Song YM, Kim M, Kim J, Kim K, Cho BK, Kim JK*, Toward single-cell control: noise-robust perfect adaptation in biomolecular systems, Nature Communications (2025)

    4. Lee K, Lim D, Kim JK, More than just slowing: bimodal vigilance dynamics in sleep deprivation, Sleep (2025)

    5. Lim D, Ko KT, Hong H, Lee H, Choi B, Chang W, Choi S, Kim JK, A history-dependent approach for accurate initial condition estimation in epidemic models, PLOS Computational Biology (2025)

    6. Song YM, Choi SJ, Lim D, Wijaya RH, Jang HJ, Park HR, Joo EY*, Kim JK*, A Digital, Real-Time, History-Based Sleep-Management Tool to Enhance Alertness, Sleep (2025)

    7. Lim D, Choi SJ, Song YM, Park HR, Joo EY*, Kim JK*, Enhanced Circadian Phase Tracking: A 5 Hour DLMO Sampling Protocol Using Wearable Data, Journal of Biological Rhythms (2025)

    8. Lim D, Jeong J, Song YM, Lee HJ*, Kim JK*, Accurate Prediction of Mood Episodes in Mood Disorder Patients Using Sleep and Circadian Rhythm Features from Wearables, npj Digital Medicine (2024)

Olive R. Cawiding

  • B.S. in Mathematics, University of the Philippines Baguio
  • M.S. in Mathematics, University of the Philippines Baguio
  • Research topic: Causal inference

    1. Cawiding OR, Kim D, Joo EY*, Kim JK*, A Scalable Framework for Population-Level Precision Health: Insights from Sleep Disorders, Sleep Medicine (2026)

    2. Gavina BL, Lee T, Cawiding OR, Choi S, Choi S, Kim S*, Kim JK*, Optimizing oral contraceptive timing: Morning intake reduces doses and enhances efficacy, PLoS Computational Biology (2026)

    3. Cawiding OR, Song YM, Kim JK, A reframed landscape of causal emergence, Patterns (2026)

    4. Cawiding OR, Bae H, Kim JH, Joo EY, Kim JK, Simplified and accurate Approach to Sleep Disorder Prediction Using Body Composition Metrics: A Development and Validation Study, Sleep (2025)

    5. Cawiding OR, Jeon S, Tubera-Panes D, de los Reyes V AA, Kim JK, Disentangling climate's dual role in dengue dynamics: a multi-region causal analysis study, Science Advances (2025)

    6. Cawiding OR, Jo H, Jeon S, Ardi FR, Kim JK*, Chung S*, Cancer-related Dysfunctional Beliefs and Attitude about Sleep-6 (C-DBAS-6): A practical and accurate shortened version using XGBoost and SymScore, Sleep and Biological Rhythms (2025)

    7. Cawiding OR, Lee S, Jo H, Kim S, Suh SY, Joo EY, Chung S, Kim JK, Machine Learning Accuracy Meets Transparency in a Symbolic Regression-Based Clinical Score Generator, Computers in Biology and Medicine (2025)

Kangmin Lee

  • B.S. in Physics, Seoul Natinal Univ
  • Research topic: Multiscale Stochastic PDE, Wearable data analysis

    1. Lee K, Lim D, Kim JK, More than just slowing: bimodal vigilance dynamics in sleep deprivation, Sleep (2025)

    2. Song YM, Lee K, Kim JK, Validity of the total QSSA in stochastic biochemical reaction networks, KSIAM Journal (2025)

Myna Lim

  • B.S. in Mathematics, Cornell Univ
  • Research topic: Timeseries Analysis, Dimension reduction

    1. Lim M, Kim S, Jeon S, Jeong EM, Kim JK, Chung S, Machine learning approached a 14-item shortened version of the Positive and Negative Sleep Appraisal Measure (PANSAM-14), Sleep and Breathing (2026)

    2. Lim M, Wangwattanakool J, Hong S, Jeon S, Kim JK, Validating the Insomnia Severity Index and its 3-item shortened version among cancer patients: A Machine Learning Approach, Sleep Medicine Research (2025)

    3. Jo H, Lim M, Jeon HJ, Ahn J, Jeon S, Kim JK*, Chung S*, Data-driven Shortened Insomnia Severity Index: A Machine Learning Approach, Sleep and Breathing (2024)

Awan, Aqsa

  • Graduate student at the Department of Data Science, KAIST, Korea
  • Research topic: Foundation models for wearable movement data, mental health research

    1. Bang SY, Awan A, Lim D, Hwang S, Koo B, Kim JK*, Jung KY*, Delayed Circadian Rhythm in Restless Legs Syndrome and Its Association with Symptom Severity: An Actigraphy-Based Study, Journal of Biological Rhythms (Accepted)

Hyeong Jun Jang

  • Graduate student at the Department of AI for Math, KAIST, Korea
  • Research topic: QSSA, Parameter estimation, Enzyme inhibition
    • Hyeong Jun Jang†, Yun Min Song, Jang Su Jeon, Hwi-yeol Yun, Sang Kyum Kim, Jae Kyoung Kim*, Optimizing enzyme inhibition analysis: precise estimation with a single inhibitor concentration
    • Song YM, Choi SJ, Lim D, Wijaya RH, Jang HJ, Park HR, Joo EY*, Kim JK*, A Digital, Real-Time, History-Based Sleep-Management Tool to Enhance Alertness, Sleep (2025)

Jeong, Hyunji (정현지)

  • Graduate student at the Department of Data Science, KAIST, Korea
  • Research topic:

Ahn, Se Jun (안세준)

  • Graduate student at the Department of Data Science, KAIST, Korea
  • Research topic:

Lee, Seunghun (이승훈)

  • Graduate student at the Department of Mathematical Sciences, KAIST, Korea
  • Research topic:

Former members

Senior researchers

Aurelio A. de los Reyes V

  • Currently, Professor, University of the Philippines Diliman.
  • IBS BIMAG Senir Reseacher 2021-2022
  • PhD. Karl-Franzens Universitaet Graz, Austria

Hyeontae Jo

  • Currently, Assistant Prof. Korea U. Sejong Campus
  • Ph.D in Mathematics, Postec, Korea
  • Research topic: Big data analysis and neural-network with physics-informed neural network

Pan Li

  • Currently, research scientist at Zhejiang University, School of Medicine in Hangzhou 
  • Ph.D in Computational Biology, University of Leeds, United Kingdom
  • Research topic: Modeling the circadian regulation of cardiac function

Postoc fellows

Hyun Kim

  • Currently, Assistant Professor, Dept. of Genetics and Biotechnology, Kyung Hee University
  • Ph.D in Physics, Korea Univ., Korea
  • IBS BIMAG Postdoctoral Fellow (2021.10–2026.02)

Shingo Gibo

  • Currently, Assistant Professor, Agriculture Dept. of Bioresource Sciences, Kyushu University
  • Ph.D. in Design, Kyushu University, Japan
  • IBS BIMAG Postdoctoral Fellow (2024.11–2026.04)

Candan Celik

  • IBS BIMAG Postdoctoral Fellow (2022.11–2023.05)

Eui Min Jeong

  • Currently, Associate Professor, Dept. of Data Science, Inha University
  • Ph.D in Mathematics, KAIST, Korea
  • IBS BIMAG Postdoctoral Fellow (2023.03–2025.08)

Kévin Spinicci

  • Ph.D. in Computational Biology, Université Grenoble Alpes / Swansea University
  • IBS BIMAG Postdoctoral Fellow 2024–2025

Gavina, Brenda Lyn

  • Currently, Assistant Professor at the Institute of Mathematics, University of the Philippines Diliman
  • Ph.D. in Mathematics, University of the Philippines Diliman, Philippines
  • IBS BIMAG Postdoctoral Fellow 2023–2025

Bryan S. Hernandez

  • Currently, Assistant Prof. University of the Philippines Diliman.
  • IBS BIMAG Postdoctoral Fellow 2021-2022
  • PhD. University of the Philippines Diliman. Philippine

Graduate students

Daewook Kim

  • Currently, Assistant Professor, Dept. of Brain and Cognitive Sciences, KAIST
  • Van Loo Assistant Professor at the Department of Mathematics, University of Michigan, Ann Arbor (2021. 9~)
  • Ph.D. in Mathematical Sciences, KAIST, Korea: Theoretical Frameworks and Mathematical Models to Study Biological Systems with Time Dela

Seok Joo Chae

  • Currently, Assistant Professor, Sungsil University, Korea
  • B.Sc. in Mathematical Sciences, KAIST, Korea
  • Research topic: Spatiotemporal dynamics of protein in intracellular environments, NK immunotherapy modeling, single-cell RNA seqeucning analysis

Hyukpyo Hong

  • Currently, Van Vleck Assistant Professor, University of Wisconsin-Madison
  • Ph.D. in Mathematical Sciences, KAIST, Korea
  • Research topic: Analysis of human activity patterns using a fractal analysis for diagnois/ Inference of time delay distributio from timeseries data/ Stochatic analysis of chemical reaction network

Shin, Seolah (신설아)

  • Graduate student at Dept. of Applied Mathematics, Korea University, Korea

Eom, Eunjin (엄은진)

  • Graduate student at Dept. of Economic Statistics, Korea University, Korea

Tyczynska Malgorzata Anna

  • Currently, Ph. D. student in Moffitt Cancer Center (FL, USA).
  • M.S. in Mathematical Sciences, KAIST, Korea
  • Research topic: Detecting Causality in Oscillating Systems

Undergraduate students

Juhyeon Kim (김주현)

  • Currently, graduate student at Dept. of Mathematical Sciences, KAIST
  • B.S. in Biological Sciences, KAIST, Korea

Kyeongtae Ko (고경태)

  • Currently, graduate student at Dept. of Statistics, Seoul National University
  • B.S. in Statistics, Kyungpook National University, Korea

Sieun Lee (이시은)

  • Currently, graduate student at Imperial Business School, Imperial College London
  • B.S. in Mathematics, Kyungpook National University, Korea

Seho Park

  • Currently, Math Grad Student, U of Wisconsin, Madison (2023. 9~)
  • B.S. in Mathematical Sciences, KAIST, Korea

Seokmin Ha

  • Currently, Math Grad Student, MIT, Madison (2023. 9~)
  • B.S. in Mathematical Sciences, KAIST, Korea

Minki Lee

  • Currently, Graduate student, MD-Ph.D. Program, Columbia University
  • B.S. in Mathematics, University of Michigan, Ann Arbor

 

Kien Hoang

  • Currently, Artificial Intelligence & Advanced Visual Computing at École Polytechnique
  • B.S. in Computer Sciences, KAIST

Seokhwan Moon

  • Currently, PhD. student in Department of Mathematics, U Winsconsin Madison 
  • Undergraduate in Department of Mathematics, POSTEC, Korea
  • Research topic: Control of Stochastic Biochemical Reaction Networks

Reinatt Hansel Wijaya

  • Currently, graduate student at École Polytechnique Fédérale de Lausanne (EPFL)
  • B.S. in Computer Science & Business and Technology Management, KAIST

Kim, Sungmun (김성문)

  • Currently, graduate student at Dept. of Mathematical Sciences, KAIST
  • B.S. in Mathematical Sciences, KAIST, Korea

Chung, Chang Yoon (정창윤)

  • Currently, graduate student at the University of Montreal
  • B.S. in Mathematical and Statistical Sciences, University of Alberta

Kim, Jiyeon

  • B.S. in Mathematics, Ajou University

Lee, Seungwon (이승원)

  • B.S. in Life Sciences, GIST

Mahammad Yusifov

  • B.S. in Mathematical Sciences, KAIST

Abbas Abbasli

  • B.S. in Physics, KAIST

Jihahm Yoo

  • Korea Science Academy (High school student)

Adnan Sadik

  • B.S. in Mathematical Sciences, KAIST

Faeyza Rishad Ardi

  • B.S. in Computing, KAIST

 

 

Previous Interns

Full list: IBS BIMAG Interns page

2025 Winter Interns

Sungjin Yang (Korea Science Academy of KAIST), Junyoung Lee (Korea University Sejong), Gia Hyun (Carnegie Mellon University), Taekeun Kim (Ghent University), Minjae Kim (KAIST), Lahiru Yasas Rathnayaka (Chungnam National University), Eunju Lee (Ewha Womans University), Kim Taekwan (KAIST), Minjun Kim (KAIST), Jaehyuk Yang (Chungnam National University), Jiwon Jang (Kyung Hee University), Sugwon Cho (Kyonggi University), Suhyeon Hwang (Kyung Hee University), Jeongmin Kim (University of Seoul), Gyeongwan Gu (Korea University), Seunghun Lee (Chungang University), Hyunji Jeong (KAIST), Jaehun Jeong (Seoul National University), Dasom Lee (Korea University), Lee Minah (Chungbuk National University), Dongyeon Yang (KAIST), Daewon Jeong (Pukyong National University), Dongwoo Won (KAIST), Hyunkyeong Park (Korea University Sejong), Se Jun Ahn (KAIST), Issac Park (Pusan National University)

2025 Summer Interns

Taiyoon Yeu (UCLA), Anshi Gupta (University of Houston), Lee Minah (Chungbuk National University), Hyunkyeong Park (Korea University Sejong), Daewon Jeong (Pukyong National University), So Heejune (University of Galway), Sangho Kil (Seoul National University), Dongyeon Yang (KAIST), Seunghyun Seo (Johns Hopkins University), Ji Woo Chae (Dartmouth College), Jaehee Seo (Yonsei University), Dongwoo Won (KAIST), Lee Dasom (Korea University), Jeong Jaehun (Seoul National University), Kim Yoon (Tsinghua University), Kim Jinyoung (POSTECH)

2024 Winter Interns

Wangwattanakool Jaruwan (Mahidol University), Awan Aqsa (KAIST), Sadik Adnan (KAIST), Kim Juhyeon (KAIST), Lee Dasom (Korea University), Moon Seokhwan (POSTECH), Kim Jinyoung (POSTECH), Kim Minwoo (KAIST), Chung Chang Yoon (University of Alberta), Kim Jiyeon (Ajou University), Hwang Gahee (Pusan National University), Son Haewon (KAIST), Lee Seungwon (GIST), Park Issac (Pusan National University), Han Minseong (Sogang University)

2024 Summer Interns

Kang Yoonah (Kyungpook National University), Lee Yejin (McGill University), Choi Sungjune (Kyungpook National University), Kumar Shubhangi (KAIST), Moon Seokhwan (POSTECH), Park Junhyung (Yonsei University), Lee Junghyun (University of Cincinnati), Kim Jiyeon (Ajou University), Lee Hyungu (Kyungpook National University), Wieler Adam (University of Manitoba), Lee Dasom (Korea University), Choo Hyunsuk (Seoul National University), Lee Yonghee (KAIST), Shin Daniel (Brandeis University), Lee Sieun (Kyungpook National University), Jeong Jaehun (Seoul National University), Kim Yoon (Tsinghua University), Rzayev Anar (KAIST), Ashley Lawas (University of the Philippines Los Baños), Jeong Jihyeok (KAIST), Mittal Krishna (University of Leeds), Park Yujin (Sangmyung University), Ko Kyeongtae (Kyungpook National University), Patel Serena (University of Leeds), Kim Juhyeon (KAIST)

2023 Winter Interns

Shin Seolah (Korea University), Moon Seokhwan (POSTECH), Choo Hyunsuk (Seoul National University), Ardi Faeyza Rishad (KAIST), Kim Sungmun (KAIST), Kim Juhyeon (KAIST), Ko Kyeongtae (Kyungpook National University), Lee Sieun (Kyungpook National University), Ahn Jongseok (Seoul National University), Yoo Jihahm (Korea Science Academy of KAIST), Lee Kwanhyeong (Soonchunhyang University), Lee Yeonsu (Kyungpook National University), Moon Jaewon (KAIST), Son Changdae (Kyungpook National University)

A video introducing research life in our lab

     

Avaiable Positions

Postdocs

IBS Biomedical Mathematics Group Postdoc

We have several postdoc posotions for IBS Biomedical Matheamtics Group (https://www.ibs.re.kr/bimag/), which consists of intracellular, intercelluar and systematic dynamics teams. Please visist the website for the details.

Samsung STF Postdoc

We have a postdoctoral fellow position for a Samsung STF-funded project: Inference of dynamic networks from timeseries big data in biological systems. We aim develop methods infering the structure of network and time delay distribution in network interactions from timeseries data.

Data analysis experience (e.g. Bayesian inference) is recommended, but not required. For inquiries, please contact Prof. Jae Kyoung Kim via email at jaekkim@kaist.ac.kr. Applications, including a full CV, a cover letter explaining suitability for the position, and the names and addresses of two referees should be sent to Prof. Kim.

BK21 Postdoc positions are available in Dept. of Math, KAIST, every semseter (June or Dec)

http://mathsci.kaist.ac.kr/home/

Graduarte Students

Our lab does not hire graduate students directly according to the math department policy. The admission process of the math department is as follows.

Step 1. Getting an admission from Dept of Math, KAIST (written exam + interview)

Step 2. Taking a semster course work.

Step 3. Deciding a reserach advisor after a semester.

For those who have interest in Math Biol Lab, please come to our Journal club seminar, where we study a paper together per week. https://www.ibs.re.kr/bimag/events/category/seminar/journal-club/ For those who have interest in, please let me know.

Undergradatue Students

Each year, one or two undergraduate students have worked in Math Bio lab. Taking at least one of following courses is recommended before asking the independent study or URP study:

Method of Applied Mathematics, Introduction for Mathematical Biology, ODE & Nonlinear Dynamics or any of my class.

You can find the application form in https://www.ibs.re.kr/bimag/job-application/internship/

Previous URP students in KAIST Math Biol Lab:

2024 Hyeong Jun Jang, Optimizing enzyme inhibition analysis: precise estimation with a single inhibitor concentration (2024 S/F URP Excellent Award/우수상)

2022 Seho Park, Development of inference method for dynamic networks (2022 S URP Best Award/최우수상)

2021 Seokmin Ha, Analysis of Plant Circadian Clock Considering Post Translational Regulation (2021 W URP Best Award/최우수상)

2021 Eun Han Goo, Development of a mathematical model for predicting accurate hepatic clearance of drug

2019 Minyoo Kim, The Total Quasi-Steady-State Approximation for a Competitive System (2019 KSIAM Poster award)

2017 Oleg Magnes, Revealing new components of circadian clock using machine learning

2016 Seokjoo Choe, The effect of non-specific binding of transcription factor on circadian rhythms