
Mathematical bioPhysics

We develop and apply the methods of mathematical physics and the theory of stochastic processes to study phenomena in biophysics. Our main research focus is currently the non-equilibrium statistical mechanics of single molecules. In particular, we aim at a trajectory-based description of macromolecular conformation dynamics as well as of their spatial transport, binding, and reactions. In our work we employ a combination of rigorous analysis corroborated by computer simulations.
Press releases & research news
10 most recent papers
7, 013279 (2025)
Hallmarks of deception in asset-exchange models. Physical Review Research
162, 090901 (2025)
Perspective: Time irreversibility in systems observed at coarse resolution. The Journal of Chemical Physics
21 (11), pp. 2170 - 2181 (2025)
Precisely controlled colloids: a playground for path-wise non-equilibrium physics. Soft Matter
111 (2), 024207 (2025)
Local order controls the onset of oscillations in the nonreciprocal Ising model. Physical Review E
7, 013020 (2025)
Multiple Pareto-optimal solutions of the dissipation-adaptation trade-off. Physical Review Research
110, 044609 (2024)
Anomalous diffusion of active Brownian particles in responsive elastic gels: Nonergodicity, non-Gaussianity, and distributions of trapping times. Physical Review E
Model-free inference of memory in conformational dynamics of a multi-domain protein
Journal of Physics A: Mathematical and Theoretical 57 365001
133 (6), 067101 (2024)
Thermodynamic Bounds on Generalized Transport: From Single-Molecule to Bulk Observables. Physical Review Letters
121 (17), e2318333121 (2024)
Milestoning estimators of dissipation in systems observed at a coarse resolution. PNAS
132 (14), 147101 (2024)
Emergence of Memory in Equilibrium versus Nonequilibrium Systems. Physical Review Letters