Jinyoung Kim - Papers and Talks

Paper

1. Jinyoung Kim, Sean D. Lawley, and Jinsu Kim†. A reaction network model of microscale liquid-liquid phase separation reveals effects of spatial dimension, J. Chem. Phys. 161, 204110 (2024); doi: 10.1063/5.0235456,(Selected in 2024 JCP Emerging Investigators Special Collection).

A dagger (†) represents (co-)corresponding authorship.

Talks

2023 POSTECH and Peking SIAM Student Chapter (PSSC)

2024 Society for Mathematical Biology Annual Meeting, Minisymposium

2024 Fall Weekly Mathematical Biology Seminar at the University of Utah

www.math.utah.edu/research/mathbio/seminar/

2025 Japan Society for Mathematical Biology Annual Meeting, Minisymposium, Japan

Poster

2022 Workshop on Non-equilibrium Phenomena in Physics and Biology

2023 Spring Korean Mathematical Society
2023 Spring Conference of the Korean Society for Industrial and Applied Mathematics
2023 Dynamical Systems in the Life Sciences, the Ohio State University
2023 Society for Mathematical Biology Annual Meeting

2024 KSMB-SMB Satellite Workshop: Tutorials for Recent Advances in Methods of Biomedical Mathematics
2024 Biomolecular Condensates: Mechanisms and Therapeutic Opportunities
2025 Spring Conference of the Korean Society for Industrial and Applied Mathematics
2025 Society for Mathematical Biology Annual Meeting
2025 International Conference of the Korean Society for Molecular and Cellular Biology

Contributed Talk and Journal Club

2023 Journal Club on Probability Theory, University of Nottingham, UK

A reaction network model of microscale liquid–liquid phase separation reveals effects of spatial dimension. Kim et al., J. Chem. Phys., 161, 204110 (2024).

2023 Journal Club on Mathematical Biology, POSTECH, Korea

Existence of a unique quasi-stationary distribution in stochastic reaction networks. Hansen et al., Electronic Journal of Probability, 25:30 (2020).

2023 Journal Club on Mathematical Biology, POSTECH, Korea

Derivation of stationary distributions of biochemical reaction networks via structure transformation. Hong et al., Communications Biology, 4(1), 620 (2023).

2025 Journal Club on Probability Theory, University of Nottingham, UK

Parameter inference of chemical reaction networks based on high-frequency observations of species copy numbers. Kim et al., in preparation.

2025 Journal Club on Mathematical Biology, POSTECH, Korea

Identifiability of chemical reaction networks with intrinsic and extrinsic noise from stationary distributions. Grunberg et al., SIAM J. Applied Dynamical Systems, Vol. 22, No. 3, pp. 2206–2241 (2023).

2025 Probability Summer School, Korea

Parameter inference of chemical reaction networks based on high-frequency observations of species copy numbers. Kim et al., in preparation.

2025 Lecture Series Talk: Extreme and First-Passage Times, POSTECH, Korea

Book: Target Search Problems, Chapter 12 - Competition of Many Searchers (Springer, 2024). Editors: Denis S. Grebenkov, Ralf Metzler, and Gleb Oshanin.