My research is in the area of stochastic modeling and statistical analysis
of biological processes, and comprises development, assessment and application
of statistical models and tools.
I use mathematical models ranging from (non)linear regression, Markov and
hidden Markov models to non-Markovian counting processes, and frequentist as
well as Bayesian estimation techniques.
My main interest is in modeling
cellular and genetic networks with a special focus on neuroscience applications.
Current research projects
Statistical inverse problems for network dynamics
Modeling and statistics for gene regulatory networks
Modeling and statistics for brain network dynamics
Statistics for the blood coagulation system
Statistics for neuronal network formation
Past research projects
Modeling the gene network underlying neuronal outgrowth
Statistical analysis of spatiotemporal patterns of activity in neuronal networks