Jens Agerberg

While working as a data scientist at Ericsson, Jens is also pursuing a PhD in machine learning at KTH within the WASP program. He believes that teaching computers a sense of geometrical recognition and reasoning is a promising direction if we want to develop more powerful AIs. One way to do so is to expand the mathematical toolkit underlying machine learning to include math from less well-known fields such as computational geometry and topology. Jens will discuss some of the results and challenges in doing so.