Ph.D. Bioinformatics, June 2009, Freie Universität Berlin; MSc (2005) and B.Sc. (2003) Bioinformatics, Freie Universität Berlin.
Now: Associate Principal Scientist, AstraZeneca
Benjamin Georgi reveived his M. Sc. in Bioinformatics in 2005 at the Freie Universität of Berlin. From 2005-July 2009 he was a doctoral student in the algorithmics group of the MPI for Molecular Genetics. His dissertation work was concerned with cluster analysis of heterogeneous biological data using context-specific independence mixture models.
Georgi et al.. PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data. BMC Bioinformatics 2010, 11:9.
Georgi. Context-specific Independence Mixture Models for Cluster Analysis of Biological Data. Ph.D. Thesis, Freie Universität Berlin, Jun 2009.
Georgi et al.. Partially-supervised protein subclass discovery with simultaneous annotation of functional residues. BMC Struct Biol. 2009, 9:68.
Georgi et al.. Partially-supervised context-specific independence mixture modeling. In workshop on Data Mining in Functional Genomics and Proteomics, ECML 2007, 2007.
Haesler et al.. Incomplete and inaccurate vocal imitation after knockdown of FoxP2 in songbird basal ganglia nucleus Area X. PloS Biology 2007, 5:12, e321.
Sept. 22, 2008. Prediction of functional residues and clustering for protein families using mixtures. Poster at European Conference in Computational Biology (ECCB) 2008
Sept. 18, 2007. Context-specific Independence mixture Modelling for Protein Families. Contributed Talk at European Conference on Machine Learning (ECML),Warsaw, Poland
Sept. 17, 2007. Partially-supervised context-specific independence mixture modeling. Contributed Talk at workshop on Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions on the ECML 2007, Warsaw, Poland
March 9, 2007. Mixture model based group inference in fused genotype and phenotype data. Contributed Talk at 31st Annual Conference of the German Classification Society on Data Mining, Machine Learning and Data Analysis, Freiburg, Germany
Aug. 8, 2006. Context-specific independence mixture modeling for positional weight matrices. Contributed Talk at Intelligent Systems in Molecular Biology (ISMB) , Fortaleza, Brazil