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.