Andrea Somazzi
Data Science Ph.D. Student (Cycle 34)
Bio:
In 2016 I got my bachelor's degree in Physical Engineering from Politecnico di Torino.
After that, I enrolled in the Physics of Complex Systems joint master's degree program between Politecnico di Torino, SISSA and ICTP (Trieste), Université Paris Diderot, UPMC and Université Paris Sud (Paris).
In my master's thesis I have been supervised by prof. Giulio Bottazzi (Scuola Superiore Sant'Anna, Pisa), and I studied the effect of noise traders on markets populated by Kelly agents.
I got then a Laurea Magistrale from PoliTO (110/110 cum laude) and an M2 degree from Université Paris Diderot (13,6/20) in Physics of Complex Systems, in July 2018.
I started the Data Science PhD program in November 2018.
My current work aims to extend information theory via generalized entropies, in order to apply it in the framework of modern data science, with particular attention for networks and data compression. I am currently supervised by prof. Diego Garlaschelli (IMT Lucca) and prof. Paolo Ferragina (UniPI).
Research Interest:
Generalized entropies, Maximum entropy approaches, Information theory, Network theory, Data compression
