Summary
Martin Butz is a Professor for Cognitive Modeling at the University of Tübingen with over a decade of experience at the intersection of computer science, cognitive psychology, and cognitive science. His research blends machine learning, predictive processing (free energy principle), and sensorimotor-grounded cognition to study anticipatory behavior, peripersonal space, and event-predictive cognition using tools like eye tracking and virtual reality. Trained with a PhD from UIUC and a Habilitation in Computer Science, he bridges rigorous computational modeling and experimental work. Outside academia he explores live coding and musical performance (Sonic Pi, Tidal Cycles, Monome), reflecting an unconventional hands-on approach to real-time systems and creativity that informs his research on temporal prediction and embodied cognition.
11 years of coding experience
Habilitation, Computer Science, Habilitation, Computer Science at The Julius Maximilians University of Würzburg
University of Illinois Urbana-Champaign