I have obtained a Doctorate in Statistical Sciences from the University of Padova, Italy (academic year 1994/95).

While a graduate scholar, I have studied statistics at the London School of Economics, Northwestern University, and UC Berkeley,
and I have been a Postdoctoral Scholar at Stanford University, with Prof. David Rumelhart, from 1994 to 1998, involved in
neurocomputing, machine learning and wavelets.

Then, I have pursued various research activities in the area of complex systems analysis and inference

in Italy:

  Consiglio Nazionale delle Ricerche (CNR), under various grants,
  International Centre for Theoretical Physics (ICTP, Condensed Matter), as visiting research scientist

in Denmark,

  Technical University of Denmark (DTU), Mathematical Modelling Institute in Lyngby,
  Niels Bohr Institute in Copenhagen, with the CONNECT group,
        under joint NATO-CNR and Danish Research Council grants;

in the Netherlands,

   National Research Institute for Mathematics and Computer Science, (CWI), PNA (Probability, Networks & Algorithms) cluster, as an ERCIM research fellow;

in the US,

    Boston University, Department of Biomedical Engineering, as a senior scientist,
    Mathematical Sciences Research Institute (MSRI) in Berkeley (CA), as part of the research staff , and also involved in various research programs,
    Institute for Mathematics and its Applications (IMA) in Minneapolis (MN) (programs and workshops),
    American Institute of Mathematics (AIM), in Palo Alto (CA) (programs and workshops),
    Institute for Pure and Applied Mathematics, in Los Angeles (CA),  (programs and workshops),
    Statistical and Applied Mathematical Sciences Institute (SAMSI), Durham (NC), (programs, workshops, and working group activities).

Currently, I am expert member of an ESF COST Action P10 Physics of Risk, on "Transdisciplinary Physics",
related to complexity, risk, statistical mechanics, networks, etc.

I am involved in core activities under the EU/FP6 Marie Curie sponsored program
Advanced Signal Processing for Ultra-Fast Magnetic Resonance Spectroscopy Imaging, and Training,
with an international consortium of research institutes (coordinated by Danielle Graveron-Demilly, UCBL, Lyon),
involved in MRS - magnetic resonance spectroscopy, and with focus on signal and image processing,
quantitative models and computational methods.

I am regularly involved as a referee for several journals in statistical, machine learning, mathematical, physical, and biological sciences.