Academic Career
- Since August 2009
Chair of Marketing, with focus on Consumer Behavior at Georg-August-Universität Göttingen - 2008 to 2009
Associate Professor at Aarhus School of Business - Department of Marketing & Statistics, Denmark - 2008
Habilitation entitled "Contributions to quantitative marketing research analyzing purchasing patterns of FMCG" at Humboldt University of Berlin - 2007 to 2008
Visiting Associate Professor at Aarhus School of Business - Department of Marketing & Statistics, Denmark - 2004 to 2007
Head of the project "The use of market basket models under consideration of marketing mix effects," funded by the German Research Foundation (DFG), at Humboldt University of Berlin - 2002 to 2007
Habilitandin at the Institute of Marketing at Humboldt University of Berlin - 2002
Ph.D. with a thesis on "The analysis of price effects on brand choice - a non-parametric approach" at Humboldt University of Berlin - 1997 to 2002
Research Assistant at the Institute for Marketing and Sonderforschungsbereich 373 "Quantification and simulation of economic processes" at Humboldt University of Berlin - 1997
Thesis entitled "Multivariate regression for the calibration of spatial data" written in research project "Quantitative methods of evaluation of geophysical investigations to clarify the pollutant distribution and dynamics of the Berlin Riesefelder" promoted by the German Federal Environmental Foundation (Deutsche Bundesstiftung Umwelt) - 1991 to 1997
Study of Business Mathematics (Dipl. Math oec.) at the Technical University Berlin
Review Activities
- Associate Editor of the Journal "Computational Statistics"
- Ad hoc reviewer for
- Marketing Science
- European Journal of Operational Research
- Telecommunications Policy
- Zeitschrift für betriebswirtschaftliche Forschung (zfbf)
- Die Betriebswirtschaft
Research
- Discrete Choice Modeling
- Consumer Behavior
- Application of nonparametric and semi-parametric models in marketing
- Pricing Strategy
- Brand Choice Models
- Market Basket Analysis
- Application of spatial statistics to marketing problems