Jörg Conradt is an Associate Professor at Computational Science and Technology, KTH, Stockholm. Understanding and applying the computational principles behind how brains turn perception into behavior is one of the most challenging research questions for the upcoming decades. His group’s research investigates theory, models, and implementations of distributed neuronal information processing, to (a) discover key principles by which large networks of neurons operate and to (b) implement those in engineered systems to enhance their real-world and real-time performance. He holds an M.S. degree in Computer Science/Robotics from the University of Southern California, a Diploma in Computer Engineering from TU Berlin, and a Ph.D. in Physics/Neuroscience from ETH Zurich.
