David Kreil

Interests: Development of computational and quantitative experimental methods to allow the investigation of complex biological questions that are hard to examine using traditional gene-by-gene approaches alone.

Background: Analysis of life-science data using probabilistic and statistical methods, sequence analysis (Research Fellow of Darwin College and the Medical Research Council UK, Dept of Genetics & Cavendish Laboratory, Univ. of Cambridge). Integration of heterogeneous databases and bioinformatics tools, comparative genome analysis (EMBL fellow, European Bioinformatics Institute, Cambridge). Theory of dynamic properties at phase transitions (Dept of Physics, Technical University of Munich).