Office: Room 600K, Gables One Tower
Enrico Capobianco holds a Doctorate in Statistical Sciences from the University of Padua. After conducting graduate studies at LSE (The London School of Economics and Political Science, UK), Northwestern University, and UC Berkeley, he pursued research in computational fields at Stanford University (US) (1994-1998). He received a NATO-CNR grant in Denmark (Niels Bohr Institute and Danish Technical University) and later (2001-2002) became an ERCIM fellow at CWI (Center for Mathematics and Computer Science/Centrum Wiskunde & Informatica) in Amsterdam (NL). He returned to US in 2003 working for as a Staff Scientist at the Mathematical Sciences Research Institute in Berkeley, and then as a Senior Scientist at Boston University, Biomedical Engineering (2004-2005). In 2005, he was appointed Head of Methods at Serono (Evry, FR), and then in 2006, he joined the Center for Advanced Studies, Research and Development (aka CRS4) in Sardinia at the Polaris Science and Tech Park leading a quantitative systems biology group. Dr. Capobianco’s core expertise is in statistical methods for bioinformatics, bio-network inference and analysis, machine learning and signal/image processing applied to biomedical studies. His background includes participation in academic and scientific activities at:
- SAMSI (Statistical and Applied Mathematics Sciences Institute) (North Carolina),
- IMA (Institute for Mathematics and its Applications) (Minnesota),
- MSRI (Mathematical Sciences Research Institute) (Berkeley),
- IPAM (Institute for Pure & Applied Mathematics) (UCLA),
- CAS (Chinese Academy of Sciences) in China,
- ICTP (International Centre for Theorectical Physics) in Italy,
- Fiocruz (Fundacao Oswaldo Cruz) in Brazil (visiting professor 2008-2010 within the Program, Capes – FIOCRUZ), and the
- Institut des Hautes Études Scientifiques (IHES) in France (Visiting scientist 2010)
Most recent published work:
Dominietto Marco D., Capobianco Enrico. Expected Impacts of Connected Multimodal Imaging in Precision Oncology. Frontiers in Pharmacology 29 November 2016 , Vol. 7, DOI 10.3389/fphar.2016.00451, ISBN 1663-9812.
Raju HR, Tsinoremas N, Capobianco E. Emerging non-coding RNA evidences linked to neuropathic pain. Front Neurol 18 (Neurogenomics).
Capobianco E. (First Online August 2016) Born to be Big: data and graphs. On their entangled complexity. Big Data and Information Analytics. American Institute of Mathematical Sciences. Vol. 1, No.2, pp. 2-2, issn 2380-6966, doi 10.3934/bdia.2016002.
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