Enrico Capobianco, Ph.D.

Associate Director, Computational Sciences - Systems Biology

I study complexity in a variety of biomedical fields through the application of translational science principles and computational networks/systems inference approaches.

I hold a doctorate in Statistical Sciences from the University of Padua, Italy (1995), and was a graduate scholar at London School of Economics (1991-92), Northwestern University (1992) and UC Berkeley Statistics (1992-93). I then joined as a postdoc Stanford University (Computer Science PDP-AI Lab 1994-98), followed by a NATO-CNR Fellowship at the Niels Bohr Institute (Un. of Copenhagen) and the Danish Technical University in 1999 (neurocomputing and artificial learning), and an ERCIM fellowship at CWI - Center for Mathematics and Computer Science, in Amsterdam (2001-02) (stochastics).

After a research appointment at the Mathematical Sciences Research Institute UC Berkeley (2003) and a senior scientist appointment at Boston University (2004, Biomed. Eng. Dept.), I held a position at the biotech Serono in Evry (2005, Head of Methods) before joining the CRS4 Bioinformatics (Polaris Science & Tech Park, Pula-Italy) as the Head of the Quantitative Systems Biology Group (2006-11). Afterwards, while engaged (2012-15) in founding the Laboratory of Integrative Systems Medicine with the Institute of Clinical Physiology, National Research Council of Italy (CNR), and coordinating the CNR's Big Data in Health activities (2016-17), I joined the former Center for Computational Science (now IDSC) at the University of Miami as the Head of Computational Biology & Bioinformatics (2011-22).

I held faculty appointments in Shanghai (the Chinese Academy of Science, 2011), in Rio de Janeiro (the Fiocruz Foundation (2008-10), and I was appointed visiting scientist at the International Centre for Theoretical Physics in Trieste, Italy (2003), and at the Institut des Hautes Études Scientifiques (IHES) in Paris, France (2010).

I conduct research on methodological (Data Science & Big Data; Networks; Artificial/Machine & Statistical Learning) and applied themes (Radiomics & Medical Imaging, Systems Medicine, Cancer and other complex diseases).
A partial publications list is at my NCBI link.