Research

Research Interest

• Spatial and spatial-temporal point processes models with applications in biology and epidemiology
• Classification and clustering of genetic data
• Bayes methods and Markov Chain Monte Carlo methods
• Simulation of stochastic processes and random fields

Projects

In SFB 876 "Providing Information by Resource-Constrained Data Analysis"

• C4: Regression approaches for large-scale high-dimensional data

In SFB 823 "Statistical modelling of nonlinear dynamic processes"

• B5: Statistical methods for damage processes under cyclic load

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