I love learning, optimizing, and solving problems. I started my academic journey in pure mathematics and physics. I was approached to complete a master's in theoretical condensed matter field theory, where I studied a long-standing problem called the Kondo problem. After two years, I had derived both a numeric and an analytical solution for the forward scattering longitudinal component of the spin-1/2 Kondo cloud in an idealized setting. At the end of my master's, the idea of machine learning was becoming mainstream, so instead of missing the bus, I applied for a composite Ph.D. at the University of Geneva involving the analysis of big data from several NASA satellites. I graduated summa cum laude, learned a lot about ML, managed to successfully predict solar flares with a novel dataset, and got invited to speak at several distinguished universities. I then did a postdoc at the University of Geneva and another one at the University of Bern, before being employed as a professor at FHNW in Switzerland, where I specializing in explainable AI. I reside in Zurich with my wife. My hobbies include surfing whenever I am not in a landlocked country, playing chess, skiing, and reading tons of sci-fi (Asimov).