- Chair of Statistics (Statistics)
Mathematics & Statistics
My research focuses on the development of novel statistical and machine learning methods for bioinformatics and computational biology, with an emphasis on Bayesian inference. My recent research projects were related to molecular phylogenetics, pattern recognition in DNA sequence alignments, the detection of intraspecific recombination in bacteria and viruses, the reconstruction of gene regulatory networks from transcriptomic profiles and postgenomic data integration, and the development of improved MCMC samplers for Bayesian learning of Bayesian networks. My current research focuses on improved Bayesian hierarchical models for the prediction of molecular regulatory networks subject to adaptation, the inference of species interaction networks in ecology, and I'm just about to have a first go at Bayesian inference in mechanistic models of molecular pathways.