Mirko Pieropan

Ph.D. in Fisica , 33rd cycle (2017-2020)

Ph.D. obtained in 2021

Dissertation:

Expectation Propagation Methods for Approximate Inference in Linear Estimation Problems (Abstract)

Tutors:

Andrea Pagnani Alfredo Braunstein

Profile

Research topic

Expectation consistent methods for inference in linear estimation and reconstruction problems

Research interests

Fisica dei Sistemi Complessi / Physics of Complex Systems
Meccanica Statistica / Statistical Mechanics

Biography

Mirko Pieropan received his M.Sc. degree in Physics of Complex Systems from Politecnico di Torino and a M2 degree in Physics from Université Paris VII – Denis Diderot (now called Université de Paris) in the context of a double degree program in 2016. He graduated with an internship on the 'Effects of ethanol and nicotine on the dynamics of dopaminergic neurons' at the Group for Neural Theory, ENS Paris, France, under the supervision of Boris Gutkin. He was awarded a Ph.D. from Politecnico di Torino in 2021 with a thesis on 'Expectation propagation methods for approximate inference in linear estimation problems', based on research work carried out under the supervision of Andrea Pagnani and Alfredo Braunstein.

Publications

Works published during the Ph.D. View all publications in Porto@Iris