Using mathematics to understand dynamical biological systems

Mathematical biology and mechanistic modelling of biological systems

I work on mechanistic modelling of biological systems using differential equations. These models aim to describe underlying biological processes and provide insight into how complex systems evolve over time. Compared to purely data-driven approaches, mechanistic models offer interpretability and strong predictive potential.

My background

I am currently a Postdoctoral Researcher at the Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg in Sweden. I hold an MSc in Engineering Mathematics and Computational Science from Chalmers University of Technology and a PhD in Applied Mathematics from the University of Gothenburg.

Previously, I was a postdoctoral researcher at the University of Oxford, supported by a Wenner-Gren Fellowship, where I worked at the Wolfson Centre for Mathematical Biology on symmetry-based methods for analysing and constructing mathematical models in biology.