Prof. Dr. Jörg Rahnenführer
Contact
TU Dortmund University
Department of Statistics
Statistical Methods in Genetics and Chemometrics
Mathematics Building, Room 720
44221 Dortmund
Germany
E-Mail: rahnenfuehrerstatistik.tu-dortmundde
Phone: +49 231 755 3121
- Habilitation (Bioinformatics), Saarland University, Saarbrücken, 2006
Thesis: Statistical methods for the biological interpretation of genome-wide measurements - Dr.rer.nat. (Mathematics), Heinrich Heine University Düsseldorf, 1999
Thesis: Tests auf Unabhängigkeit in bivariaten Hazardmodellen mit zensierten Daten - Diploma (Mathematics), Heinrich Heine University Düsseldorf, 1995
Thesis: Über die Gütefunktion des Kolmogoroff-Smirnov-Tests beim Signalerkennungsproblem
Scientific work
- since April 2007: Full Professor for Statistical Methods in Genetics and Chemometrics, TU Dortmund
- Oct 2002 - Mar 2007: Postdoc, Department of Computational Biology and Applied Algorithmics, Max Planck Institut for Informatics, Saarbrücken, Germany
- Oct 2001 - Sep 2002: Consultant at the Eppley Institute for Research in Cancer and Allied Diseases and Center for Human Molecular Genetics, University of Nebraska Medical Center, Omaha, USA
- Oct 2000 - Sep 2002: Postdoc, Department of Biostatistics and Department of Statistics, University of California, Berkeley, Research Grant of DFG, Berkeley, USA
- Sep 1999 - Sep 2000: Postdoc, Department of Probability Theory and Mathematical Statistics, Mathematical Institute, Heinrich Heine Universität Düsseldorf, Germany
- Mar 1999 - Aug 1999: Postdoc, Department of Experimental Mathematics and Statistics, Statistical Institute, Vienna University of Economics and Business Administration, SFB 010 (Spezialforschungsbereich): Adaptive Information Systems and Modelling in Economics and Management Science, Initiative 2: Statistical Modelling, Vienna, Austria
- Oct 1995 - Feb 1999: Research Assistant, Department of Probability Theory and Mathematical Statistics, Mathematical Institute, Heinrich Heine University Düsseldorf, Germany
Main areas of research
- Statistical methods in toxicology
- Statistical methods in bioinformatics
- Statistical analysis of gene expression data
- Statistical analysis of clinical data
- Survival analysis (analysis of event times)
Specific current research topics
- Statistical analysis of genomic data from toxicology
- Modeling of dose-response relationships
- Statistical analysis of genomic data for cancer diagnosis and therapy
- Methods for biological interpretation of gene expression data
- Statistical analysis of data from proteomics
- Analysis of methods for variable selection
- Analysis of large text collections using topic modeling