Publications: 'Message passing-based inference in an autoregressive active inference agent' and several other papers; Projects: CONTACT-AI (aims to transform legged robots into contact-rich explorers), ABIAS (Analysis of Bayesian Intelligent Autonomous Systems) among others.
Research Experience
Currently a researcher at the Bayesian Intelligent Autonomous Systems lab, Electrical Engineering department of TU Eindhoven, focusing on deploying active inference agents, which perform Bayesian inference via message passing in graphical models, to mobile robots to assist humans with dangerous, dirty, or dull work.
Education
PhD in Computer Science, 2018, Delft University of Technology; MSc in Neuroscience, 2013, Maastricht University.
Background
Interests: Intelligent autonomous systems, Probabilistic machine learning, Variational Bayesian inference, Neural information processing. Background: Dual background in neuroscience and computer science. Biography: Researcher at the Bayesian Intelligent Autonomous Systems lab, Electrical Engineering department of TU Eindhoven, focusing on designing, developing, and analyzing probabilistic machine learning systems that learn from interactions with their environment, notably active inference agents.