Sebastian Persson

Doctoral Student at Applied Mathematics and Statistics

My research as a PhD student in Cvijovic lab will be focused on using mathematical modelling for understanding different cellular processes that are connected to ageing in yeast. For example, in one project I will use reaction-diffusion models to study cell polarization and in another project, I will use ODE-modelling and nonlinear mixed-effects modelling to study signaling pathways that are connected to glucose sensing.

Source: chalmers.se
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Showing 4 publications

2024

Exploring carbon source related localization and phosphorylation in the Snf1/Mig1 network using population and single cell-based approaches

Svenja Braam, Farida Tripodi, Linnea Österberg et al
Microbial Cell. Vol. 11 (1), p. 143-154
Journal article
2022

Scalable and flexible inference framework for stochastic dynamic single-cell models

Sebastian Persson, Niek Welkenhuysen, Sviatlana Shashkova et al
PLoS Computational Biology. Vol. 18
Journal article
2022

Modelling of glucose repression signalling in yeast Saccharomyces cerevisiae

Sebastian Persson, Sviatlana Shashkova, Linnea Österberg et al
FEMS Yeast Research. Vol. 22 (1)
Review article
2020

Fine-Tuning of Energy Levels Regulates SUC2 via a SNF1-Dependent Feedback Loop

Sebastian Persson, Niek Welkenhuysen, Sviatlana Shashkova et al
Frontiers in Physiology. Vol. 11
Journal article

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