Hjalmar Turesson holds a Ph.D. in Neuroscience and Psychology from Princeton University, an M.Sc in Behavioral and Neural Sciences from the International Max Planck Research School at the University of Tübingen, and a B.Sc. in Biology from Lund University. His research straddles the line between natural and artificial intelligence, investigating the neural implementations and computational principles behind intelligence. Using methods spanning from in vivo to in silica, he has conducted basic research on semi-supervised learning, applied research in deep learning-based object tracking, machine learning applications for acoustic signals, and, more recently, blockchain and privacy-preserving machine learning on encrypted data. His research is published in top-tier scientific journals.