Work and teaching experience
|Jan 2013 — present
||Researcher at IDSIA, Dalle Molle Institute for Artificial Intelligence,
Department of Innovative Technologies - SUPSI,
University of Applied Sciences of Southern Switzerland
|Feb — Jul 2016
||Teaching assistant of Applied statistics at SUPSI.
Teaching and preparation of laboratory sessions.
|Feb — Jul 2015
||Lecturer of Computational Mathematics and Algorithms at SUPSI.
Responsible for teaching and exercise sessions.
|May — Jun 2012,
Apr — Sep 2011,
Jun — Sep 2010,
Jun — Oct 2009
|Visiting researcher at the Computerized Operation
Support Systems division of the
Institute for Energy Technology -
OECD Halden Reactor Project, Halden, Norway. Development and
application of data-mining and machine learning to component diagnostics
and prognostics in the fields of nuclear energy and oil&gas production.
| Feb — May 2012
of Nuclear power plants operations and maintenance
at Politecnico di Milano. Teaching and preparation of laboratory sessions.
|Sep 2011 — Jan 2012
||Teaching assistant of
Computational methods for safety and risk analysis I and II
at Politecnico di Milano. Teaching of exercise sessions and supervising projects.
|Jan 2010 — Mar 2013
||Ph.D. in Energy and Nuclear Science and Technology,
Department of Energy,
Politecnico di Milano, Italy.
Dissertation title: “Development of advanced computational methods
for Prognostics and Health Management (PHM) in energy components and systems.”
|Sep 2007 — Dec 2009
||MSc in Nuclear Engineering, Department of Energy,
Politecnico di Milano, Italy
|Sep 2005 — Dec 2009
||MSc in Engineering,
Ecole Centrale Paris, France.
|Sep 2005 — Jun 2007
||BSc in Fundamental Physics,
Université Paris-Sud 11, France.
|Sep 2003 — Sep 2007
||BSc in Physics Engineering,
Politecnico di Milano, Italy.
|May 2015 — July 2016
||Adaptive systems for foreign languages teaching.
Development of an adaptive e-learning system to evaluate students competences.
Based on AI reasoning techniques, the system estimates student' skills
and automatically selects the questions more suited to the student in order
to maximize the accuracy of the evaluation while limiting the duration of the test
(e.g., by avoiding questions that are too easy or too difficult).
A prototype has been released for language teaching at SUPSI.
|Jul 2015 — present
||GoEco! A community based eco-feedback approach
to promote sustainable personal mobility styles.
Statistical analysis and mining of mobility tracking data for
transport mode detection and user profiling.
|Jan 2013 — Dec 2014
||Learning under near-Ignorance: models and methods.
Development of robust methods for learning from data in situations of uncertainty and
lack of knowledge. By modeling a situation of prior near-ignorance
by means of set of prior distributions, these methods naturally lead
to indeterminate (i.e., set-valued) predictions, so that, when the information from data is
not enough to draw stronger conclusions, they originate
very credible and reliable models.
Computer and programming skills
Extensive knowledge of Matlab and R.
Good knowledge of Latex, Mathematica, Weka, HTML.
Basic C++, Phyton and Java programming skills.