As a trained cognitive psychologist, I investigate the way in which decision-makers and judges arrive at their conclusions. Oftentimes, I use statistical and computational models to embody assumptions regarding the underlying processes, and process tracing methods to gain further insight into the workings of the mind. A lot of my work is concerned with risky decisions, but I have worked on a wide variety of choices and judgments, including social dilemmas, personality judgments, and ethical decisions.

In addition to my substantive research, I work as a research software engineer, creating tools that make advanced, high-quality research possible and accessible. I am good at attacking practical research problems through technology, and have built several open source tools to aid my own work and that of fellow scientists.

I enjoy reflecting on the research process, and how to make it more efficient and transparent. I am an advocate of open science, transparency, and sharing of data and resources, and have provided information and guidance on how to achieve this to many colleagues.

Besides the University of Koblenz-Landau where I work, I have close ties to the Max Planck Institute for Research on Collective Goods at which I am a guest researcher, and the University of Mannheim, where I am Member of the Graduate School of Economics and Social Sciences.

Research focus

In a nutshell, my work and interests focus on:

  • Cognitive processes underlying judgment and decision making
    • Development and comparison of process models of risky choices
    • Effects of information display on the process level
  • Research software engineering
    • Development of tools for data collection and analysis
    • Web-based experimentation and online panels
    • Teaching technical skills to researchers and students
  • Quantitative methods
    • Formal and computational modelling of cognitive processes
    • Statistical model comparisons incorporating process-level data
    • Process tracing using mouse- and eye-tracking
    • Applications of machine learning and large-scale data analysis techniques in psychology
  • Ethical decisions and their individual and situational determinants