Professor Dirk Husmeier

  • Chair of Statistics (Statistics)

telephone: 5141

Mathematics & Statistics
Room 221

Personal website

Research Interests

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.

Research Groups

EPSRC Bridge the Gap January - June 2012

EU FP7 project Timet

Current research staff

Andrej Aderhold
Catherine Higham
Mu Niu

Current PhD students

Vinny Davies (Bayesian Computational Statistics in Systems Biology )
Diana Giurghita (Unifying principles of migration at multiple scales: linking cancer research to ecology)
Benn Macdonald (Parameter inference in mechanistic models of biological pathways with applications in biomedicine )
Umberto Noe (Bayesian non-­parametric inference in mechanistic models of complex biological systems)

Principles of Probability and Statsitics (POPS)

Stochastic Processes

Module 3 of the SMSTC Statistics stream