Research

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"

• 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