Wouter Kouw is a researcher in the Bayesian Intelligent Autonomous Systems lab at the Electrical Engineering department of TU Eindhoven. He has a dual background in neuroscience and computer science, and is most interested in neuro-inspired forms of artificial intelligence. His research focuses on designing, developing and analyzing probabilistic machine learning systems that learn from interactions with their environment, most notably active inference agents. Internally, these agents perform Bayesian inference by way of message passing in graphical models. The agents are deployed to mobile robots to assist humans with dangerous, dirty or dull work.
PhD in Computer Science, 2018
Delft University of Technology
MSc in Neuroscience, 2013
Maastricht University