Dr. Vojtech Kaiser
Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG)
Phone: +49 351 210-2519
Vojtěch Kaiser is a joint ELBE Postdoctoral Fellow with the MOSAIC Group and the Tang Lab since November 2016. He is a Czech citizen and was born in Ústí nad Labem, Czech Republic, in 1987.
Vojtěch obtained his Bachelor's and Master's degrees in Physics at Charles University in Prague where he studied from 2006 to 2011, graduating with a Master’s thesis on the kinetics of DNA. In 2011, he started bi-national PhD studies at the École Normale Supérieure de Lyon (with Prof. Peter Holdsworth) and the Max Planck Institute for the Physics of Complex Systems in Dresden (with Prof. Roderich Moessner). In 2014, Vojtěch defended his doctoral thesis on the non-linear and non-equilibrium response of spin ice, a class of frustrated magnets, in which quasiparticles behave like magnetic monopoles. Surprisingly, the collective behaviour of magnetic monopoles matches the one found in weak electrolytes. In both cases, applied fields shift the association equilibrium resulting in enhanced conductivity, the second Wien effect. This enhances the non-linear magnetic response of spin ice, as confirmed in magnetometric measurements.
From spring 2015 to fall 2016, Vojtěch worked in Paris in the Micromégas group of Prof. Lydéric Bocquet on electrolytes in confinement. In particular he addressed how thermodynamic and transport properties of electrolytes change as a function of the electronic structure of the confining material, ranging from insulators to metals.
Vojtěch is a member of the MOSAIC Group and the Tang Lab since November 2016 and works on chemical kinetics of mesoscopic systems, where flows and fluctuations lead to deviations from the macroscopic rate equations. This research continues his trajectory of studying association equilibria and flows, and his general interest in stochastic processes. His work combines theoretical and numerical approaches with experimental model systems in the Tang lab.
A Word from Vojtech...
I have long been fascinated by randomness, because a random process almost never takes the same path twice, but rich information still hides in a sample of these random paths. Biochemical reactions provide life with a variety of functions. As their volume decreases, randomness becomes more influential. I am modelling and building experiments to test if this randomness can increase efficiency of biochemical systems in face of the common impression that it is just useless noise.