I am research fellow of the SlipGURU, at the University of Genova, Italy. I am also co-founder of CAMELOT, a start-up developing tools for the quantitative analysis of medical images.

My main focus of research is the analysis of medical images, often through methods based on machine learning. In the past few years I have been involved in the Health-e-Child project, and developed a special interest in the quantitative assessment of arthritis via MRI. To read more on my research activity in this field, go here.

From a methodological standpoint, I am interested on voxel classification algorithms, with particular emphasis on ways to handle heterogeneous data coming from different modalities. More recently, I began working on methods for learning dictionaries of features from the data. Further details on this side of my research can be found here.

I also taught part of a Computational Vision course for the last four years, as well as having taught a programming course in Basel during my PhD. You can find some of the teaching materials I used and/or prepared here.

Since 2004 I implement most of my software in Python, plus some parts in C/C++. Recently I patched up a short seminar about Python for scientific computing, divided in two parts: an introduction to Python [pdf, 129k] and a short overview of numpy and other packages for scientific computing [pdf, 150k]. Some of the examples in the first set of slides are taken from an article of Jose P.E. Fernandez, Programming Python, Part I, Linux Journal, 2007.

Reading list.

Riforma universitaria (in italiano).


“If nature has made any one thing less susceptible than all others of exclusive property, it is the action of the thinking power called an idea, which an individual may exclusively possess as long as he keeps it to himself; but the moment it is divulged, it forces itself into the possession of every one, and the receiver cannot dispossess himself of it. Its peculiar character, too, is that no one possesses the less, because every other possesses the whole of it. He who receives an idea from me, receives instruction himself without lessening mine; as he who lights his taper at mine, receives light without darkening mine.” (Thomas Jefferson)