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Wouter Kouw is a researcher in the lab of the Electrical Engineering department. 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. They are deployed to mobile robots that assist humans with dangerous, dirty or dull work.

Intelligence is more than just computation at scale - it's about making sense of the world under uncertainty.

Wouter Kouw holds a research master's degree in Neuroscience from Maastricht University (graduated in 2013), and a doctorate in Computer Science from TU Delft (defended in 2018). He has done academic work internationally: in 2012, he worked at the Computational Vision & Neuroscience lab of the Werner Reichardt Centre for Integrative Neuroscience in T眉bingen (Germany), in 2016 at the department of Computer Science of Cornell University (USA) and in 2018 at the Datalogisk Institut of Copenhagen University (Denmark). In 2019, he started as a post-doctoral researcher at TU Eindhoven, where he is now leading a research direction as an assistant professor.