If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

As the deputy head and statistical consultant of the Competence Center for Empirical Research Methods at WU, I am concerned with matters of data analysis and the transfer and application of statistical methods to social and behavioral sciences. In this line of work I support faculty and graduate students in the correct usage of statistical methodology for answering research questions and aim at the dissemination of modern statistical procedures into substantive areas.

Additionally, I conduct original research which currently focuses on data analysis, applied and computational statistics. In this work my main motivation is to help improve various aspects of modern, state-of-the-art data analysis, particularly in the following areas:

  • Discrete Data Analysis: count data, categorical data, mixed data types
  • Data Mining and Statistical Learning: tree models, graphical models, clustering, segmentation
  • Exploratory Data Analysis and Data Visualization: multidimensional scaling, proximity
    scaling, multivariate visualization
  • Multivariate Statistics: chain graph models, clustering, segmentation, association and scaling of variables
  • Natural Language Processing: text mining, topic modeling, visualization
  • Psychometrics: IRT in behavioral and social sciences and business, IRT models for longitudinal data and measurement of change, multidimensional and optimal scaling
  • Statistical Software: R, Python

Education/academic career

Statistics, Habilitation, WU Vienna

Oct 2021

Statistics, PhD, WU Vienna

Mar 2009May 2012

Statistics, MSc, University of Vienna

Mar 2007Mar 2010

Psychology, MSc, University of Vienna

Oct 2000May 2008

Statistics, BSc, University of Vienna

Mar 2003Mar 2007

External positions

Lecturer, Harvard University

Jan 2019Jul 2021

Expertise

  • Computational Statistics
  • Psychometrics
  • Exploratory Data Analysis
  • Data Analysis
  • Data Science
  • Statistical Learning

Austrian Classification of Fields of Science and Technology (OEFOS)

  • 101018 Statistics
  • 102019 Machine learning
  • 102033 Data mining
  • 102035 Data science
  • 102037 Visualisation
  • 501010 Clinical psychology
  • 501006 Experimental psychology
  • 509013 Social statistics

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or