Daniel Persson

Daniel Persson is a theoretical physicist and mathematician with a background from research in String Theory. Although his primary field is mathematics, he is also researching together with a WASP PhD student how one can use theoretical physics to understand modern machine learning algorithms, and, in particular, neural networks. Ever wondered what Quantum Deep Learning is? Go find out!