Giorgia Fortuna completed her PhD in mathematics at MIT in May 2013. She worked on infinite-dimensional Lie algebras and, more generally, in geometric representation theory.
She is currently a postdoc at ETH, Zurich, where she works in the mathematical physics research group.
She has always been interested in pure mathematics, although in the last year she has become more and more interested in finding ways to apply the powerful means provided by abstract math to the real world.
This project consists of finding the best function that fits some given set of data. In the framework we work in, the best function will correspond to the one that humans would perceive as simple. More precisely, given a scattered plot generated by some data, because of the infinite number of functions that one could possibly try to fit, we first want to find criteria that would single out a finite set of families of such. For each one of them, we then want to choose the function that generates the data with the highest probability. Finally, we want the computer to return the one function which is the simplest according to some complexity criterion that needs to be generated.
Favorite Outer Totalistic r=1, k=2 2D Cellular Automaton