Position

Full Professor in mathematical statistics, Faculty of Science, Department of Mathematics

Research focus

My research is directed to statistical inference for stochastic processes, with focus on uncertainty quantification and indirect observation schemes. I work on Bayesian computational aspects of inference for partially observed stochastic processes on graphical models. Bayesian computation in such models is an essential part of many AI algorithms. It finds applications in a wide range of applications, including health, data assimilation, signal processing, systems biology and finance.

Pillars

Technological challenges

Personal page

https://fmeulen.github.io/