
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
14 (1), pp. 49 - 56 (2023)
Challenges in Inferring the Directionality of Active Molecular Processes from Single-Molecule Fluorescence Resonance Energy Transfer Trajectories. The Journal of Physical Chemistry Letters
Global Speed Limit for Finite-Time Dynamical Phase Transition in Nonequilibrium Relaxation
submitted on Sept 28, 2022: arXiv:2209.14287 [cond-mat.stat-mech]
Direct Route to Thermodynamic Uncertainty Relations
submitted on Aug 12, 2022: arXiv:2208.06402 [cond-mat.stat-mech]
55 (47), 475001 (2022)
On correlations and fluctuations of time-averaged densities and currents with general time-dependence. Journal of Physics A
4, 033243 (2022)
Coarse graining empirical densities and currents in continuous-space steady states. Physical Review Research
129 (14), 140601 (2022)
Mathematical, thermodynamical, and experimental necessity for coarse graining empirical densities and currents in continuous space. Physical Review Letters
24, 023004 (2022)
Scattering fingerprints of two-state dynamics. New Journal of Physics
8 (3), eabk0627 (2022)
First-passage statistics of colloids on fractals: Theory and experimental realization. Science Advances
11 (4), 041047 (2021)
Emergent memory and kinetic hysteresis in strongly driven networks. Physical Review X