I apply techniques from stochastic processes, nonlinear dynamics, and nonequilibrium statistical physics to biological systems across a wide range of physical and temporal scales. In particular, I have worked on the origin of biological homochirality, Darwinian transition, pattern formation in chemical and biological systems, and modeling bacterial growth from subcellular processes to single cells, populations, and ecosystems.
For UU Students (Bachelor's and Master's): I have several thesis projects that explore
Required background: basic probability and statistical physics
Recommended background: stochastic processes, statistics, biological & soft-matter physics, and comfort with scientific programming (e.g., Python/Mathematica)
These projects are suitable for double-degree students, both in math & physics, as well as in chemistry & physics.
If you are interested in exploring any of these areas, please send me an email.