Research Interests
- Spatial and spatio-temporal point process modelling with applications in biology and epidemiology
- Gaussian process modelling and analysis with various applications
- Bayesian methods and Markov Chain Monte Carlo techniques
- Regression methods for very large, high-dimensional data
- Classification and clustering methods for genetic data
Projects
In SFB 876 "Providing Information by Resource-Constrained Data Analysis"
In SFB 823 "Statistical modelling of nonlinear dynamic processes"
Sponsored by German Research Foundation (DFG)
- Messung und statistische Analyse von Clusterphänomenen bei Signalproteinen in der Plasmamembran
(Prof. Dr. Katja Ickstadt, Peter Verveer: Max-Planck-Insitute for molecular Physiology)
Former Projects