Welcome on my website!
I am a post-doctoral research associate at the University of Geneva, where my primary work focuses on the development and application of empirical research and evaluation methods, including quantitative, qualitative and mixed-approach techniques, data analytics and questions of causal inference. In this connection, I concentrate on configurational comparative methods (CCMs), such as Coincidence Analysis (CNA), Event Structure Analysis (ESA) and Qualitative Comparative Analysis (QCA), in particular. I also have a strong interest in questions of research design more broadly defined as well as meta-science, i.e. the scientific study of science itself. Last but not least, I occupy myself with possibilities to improve the teaching of empirical research methods and data analytics at all levels of higher education, using computational innovations and graphical tools.
Professional profiles of my work can be found on the following services:
You find seven further pages on this site. About provides a short CV. Under News, I post information on my latest publications and events. Commentaries on various topics of interest to me are collected under Blog. Software I have authored can be found under Software. Teaching offers material from courses I have taught over the years. My electronic business card can be found under Contact, and Misc is just a collection of links that might be useful to you if you happen to share some of my research interests or teaching activities.
Latest News: Cyber Seminar at U.S. Department of Veterans Affairs
Together with Michael Baumgartner from the University of Geneva, I will give a cyber seminar titled "Configurational Data Analysis with QCA and CNA for Health Researchers" at the U.S. Department of Veterans Affairs (VA) on 2 March. VA operates one of the largest integrated health care system in the world, with more than 1,700 hospitals, clinics, community living centers, domiciliaries, readjustment counseling centers, and other facilities. Public health is one of the fastest growing areas with respect to the use of configurational methods, particularly for qualitative interview data and small numbers of cases.