From an early age, Argentinian Matias Delgadino wanted to understand the world, and the tool he chose to do so was applied mathematics. Today he is a mathematician who tracks down patterns. With a degree in mathematics from the National University of Córdoba in Argentina, he went on to earn his doctorate at the University of Maryland in the United States. He carried out two post-doctoral internships: the first at the International Center for Theoretical Physics, in Italy, and the last at Imperial College, UK. His research deals with self-organization, a process in which ordered patterns emerge from disordered systems. This work has great potential for applications in machine learning. Previously an adjunct professor at the Pontifical Catholic University of Rio de Janeiro, he is currently a researcher at the University of Texas, USA.

Delgadino has always been fascinated by the patterns we can find in everyday life, such as raindrops falling on a car window or the fractal shape of broccoli or cauliflower. After so many years of study, he discovered that science has many answers, but the most interesting thing is always what we cannot yet explain.