Speakers
Description
Reaction networks form a foundational mathematical framework for modelling complex biological systems, from intracellular biochemical interactions to multiscale dynamics at the ecological scale. Recent advances in stochastic and deterministic theory, nonequilibrium thermodynamics, and multiscale analysis have significantly deepened our understanding of noise-driven phenomena, biochemical regulation, and energetic constraints in living systems. This mini-symposium gathers leading experts to present recent theoretical and applied developments that highlight how reaction network models \cite{MuellerFlammStadler2022} inform core questions in modern mathematical biology. Topics include applications to (population) genetics \cite{Baake2021Ancestral}, systems biology \cite{Lim2025}, chemical graph theory, and thermodynamics \cite{Avanzini2023}. By bringing together complementary perspectives from probability, dynamical systems, statistical physics, and biological modelling, the session will showcase how reaction network theory continues to shape modern mathematical biology and foster new insights into biological complexity. Confirmed speakers are listed below.
Keynote speaker: Ellen Baake (University of Bielefeld)
Other speakers:
1. Stefan Müller, University of Vienna
2. Jae Kyoung Kim, KAIST
3. Tian Hong, University of Texas at Dallas
4. Massimiliano Esposito, University of Luxembourg
5. Christoph Flamm, University of Vienna
6. Nahuel Freitas, University of Buenos Aires
Bibliography
@article{MuellerFlammStadler2022,
author = {M{\"u}ller, Stefan and Flamm, Christoph and Stadler,
Peter F.},
title = {What makes a reaction network "chemical"?},
journal = {Journal of Cheminformatics},
year = {2022},
volume = {14},
number = {63},
doi = {10.1186/s13321-022-00621-8}
}
@article{Lim2025,
title = {Toward single-cell control: noise-robust perfect adaptation in biomolecular systems},
ISSN = {2041-1723},
url = {http://dx.doi.org/10.1038/s41467-025-67736-y},
DOI = {10.1038/s41467-025-67736-y},
journal = {Nature Communications},
publisher = {Springer Science and Business Media LLC},
author = {Lim, Dongju and Moon, Seokhwan and Song, Yun Min and Kim, Minjun and Kim, Jinyeong and Kim, Kangsan and Cho, Byung-Kwan and Kim, Jinsu and Kim, Jae Kyoung},
year = {2025},
month = {12}
}
@article{Avanzini2023,
title = {Circuit Theory for Chemical Reaction Networks},
volume = {13},
ISSN = {2160-3308},
url = {http://dx.doi.org/10.1103/PhysRevX.13.021041},
DOI = {10.1103/physrevx.13.021041},
number = {2},
journal = {Physical Review X},
publisher = {American Physical Society (APS)},
author = {Avanzini, Francesco and Freitas, Nahuel and Esposito, Massimiliano},
year = {2023},
month = {6}
}
@incollection {Baake2021Ancestral,
AUTHOR = {Baake, Ellen and Baake, Michael},
TITLE = {Ancestral lines under recombination},
BOOKTITLE = {Probabilistic structures in evolution},
SERIES = {EMS Ser. Congr. Rep.},
PAGES = {365--382},
PUBLISHER = {EMS Press, Berlin},
YEAR = {[2021] \copyright 2021},
ISBN = {978-3-98547-005-1},
MRCLASS = {92D15},
MRNUMBER = {4331868},
DOI = {10.4171/ECR/17-1/17},
URL = {https://doi.org/10.4171/ECR/17-1/17},
}
