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Statistical biophysics

Research introduction

One example could be how biomolecules arrive at the right place in a cell to serve its function.

Often it is done by a process a mixture of random movement (often called random walks) and targeted transport, making it a challenge theoretically to figure out how fast the molecule reaches its destination. Advances have been made by the use of Bayesian statistical methods which allow us to quantify how good potential models for stochastic processes describe an experimental dataset.

 

Meet Michael Lomholt

  • Associate professor at the Department of Physics, Chemistry and Pharmacy at SDU since 2008
  • PhD in Theoretical Physics from SDU
  • Research interests: Statistical physics, soft condensed matter physics, biological physics, stochastic processes, Bayesian inference

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Last Updated 04.08.2023