I am a postdoctorial researcher at the chair of psychological methods and assessment (Prof. Dr. Markus Bühner) at the department of Psychology at Ludwig-Maximilians-Universität München (LMU), Germany, EU.
A large part of my research is focused on the collection and analysis of data from consumer-electronics (smartphones, cars ...). In particular, I apply machine learning techniques on those datasets in order to predict both behavior and individual traits.
I am also interested in the design of personalized systems and how human-system interaction can be improved by considering differential human factors in the design process (demography, personality etc.).
News & Updates
Presentation at the 2019 SPSP Annual Convention
I will give a talk on the predictability of personality traits from every-day smartphone usage in the symposium "Using RealWorld Behavioral Data to Advance Psychological Research and Theory", chaired by Christine Anderl,
16.09. - 20.09.2018
- Prior to the DGPS2018 conference, Florian Pargent and I will provide "An Introduction to Machine Learning for Psychologists in R" in a preconference workshop. More infos will be provided via this OSF-repository.
- I'll be chairing a prediction-focused symposium ( "Predictions in Psychology - Behavior, Personality, Emotions, Performance, Places and Person-Culture Fit") at the DGPS2018 in Frankfurt, Germany.
- Prof. Dr. Markus Bühner and I will discuss "Psychological Diagnostics in the Era of Machine Learning" in the invited symposium "Big Data: The new Big Promise for research in applied psychology?", chaired by Cornelius König.
APS - CONVENTION 2018
Sandrine Müller and I be will co-chairing a symposium titled "Physical manifestations of psychological characteristics" at the APS - Convention in San Francisco. I will present my groups work on the prediction of individual personality traits from smartphone data with a focus on geo-location based features.