Wouter Kouw is a researcher in the Bayesian Intelligent Autonomous Systems lab 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 analyzing, designing and developing probabilistic machine learning systems based on models of information processing in the brain. Specifically, the development of variational Bayesian inference algorithms implemented as message passing on graphs. His work has been applied to nonlinear system identification, adaptive control systems and mobile robotics.
PhD in Computer Science, 2018
Delft University of Technology
MSc in Neuroscience, 2013
Maastricht University