Simon Syga
Simon Syga has a background in physics, specializing in biophysics during his MSc. During the COVID-19 pandemic, he focused on epidemiology and science communication. In his PhD, which he received in Mathematics, he investigated the impact of heterogeneity on tumor evolution using agent-based mathematical models. He is the author of a Python package for cellular automaton simulations.
Publications
2024
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Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy
PLOS Comput. Biol. 20 (8), e1012003, 2024 [DOI]
2023
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Cell jamming in a collagen-based interface assay is tuned by collagen density and proteolysis
Journal of Cell Science 136 (23), jcs260207, 2023 [DOI] -
Artificial patterns in spatially discrete models of cell migration and how to mitigate them
BIOMATH 12 (2), 2311177, 2023 [DOI]
2022
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Mathematik der Pandemie
Springer, Heidelberg 2022 [DOI] -
35 Cent weniger für Benzin und 17 Cent weniger für Diesel – Der Tankrabatt ist angekommen
ifo Dresden berichtet 29(5), 13-18, 2022 [DOI]
2021
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Inferring the effect of interventions on COVID-19 transmission networks
Scientific Reports 11, 21913, 2021 [DOI] -
BIO-LGCA: a cellular automaton modelling class for analysing collective cell migration
PLOS Comput. Biol. 17 6, e1009066, 2021 [DOI]
2020
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Entropy-driven cell decision-making predicts "fluid-to-solid" transition in multicellular systems
New Journal of Physics 22, 123034, 2020 [DOI] -
Quantification of nematic cell polarity in three-dimensional tissues
PLOS Comput. Biol. 16 12, e1008412, 2020 [DOI] -
Cell–cell adhesion and 3D matrix confinement determine jamming transitions in breast cancer invasion
Nature Cell Biology 22, 1103–1115, 2020 [DOI]
2019
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A Lattice-Gas Cellular Automaton Model for Discrete Excitable Media
in Spirals and Vortices, Müller and Tsuji(Eds.), Chapter - 15, 253-264, Springer, 2019 [DOI]