Summary
Stefan Heinrich is an Associate Professor and computational neuroscientist with nine years of research-focused experience bridging AI, cognitive psychology, and developmental robotics. He develops and analyzes continuous-time recurrent and convolutional neural networks to study multi-modal representation learning, with a recent project on embodied vision-and-action language acquisition under the DFG-funded TRR 169. Based in Copenhagen, he co-heads the ITU brAIn lab and holds affiliations with the Pioneer Centre for AI, bringing hands-on experience in robotics, software development, and higher-education teaching. Stefan’s work emphasizes dynamic timescale mechanisms and variational/approximate Bayesian training schemes, aiming to translate brain-inspired principles into practical ML solutions for energy, biotech, and gaming. An avid scholar-and-tinkerer, he combines rigorous computational modelling with grant writing and PhD supervision, reflecting a rare blend of theoretical depth and applied engineering.
9 years of coding experience
15 years of employment as a software developer
Mathematics and Computer Science, Diplom-Informatiker (comparable to MSc), Mathematics and Computer Science, Diplom-Informatiker (comparable to MSc) at Paderborn University
Computer Science, Doktor der Naturwissenschaften (comparable to PhD), Computer Science, Doktor der Naturwissenschaften (comparable to PhD) at University of Hamburg
German, English, Spanish, Japanese, Danish