Alessandro Barberis, Postdoctoral Researcher
My research focuses on the development of novel computational methods to enable better exploitation of genomic data in biomarker research, and to use them to discover new robust biomarkers.
Biomarkers of diagnosis, prognosis and response to treatment are essential for delivering personalised healthcare. An unprecedented technological development in molecular research has recently boosted biomarker discovery, and enabled the acquisition and storage of an increasing volume of molecular and genomic data in large clinical cohorts. Alessandro’s main research activity is related to the development of computational methods to exploit such data for the identification of new biomarkers.
Alessandro graduated from University of Pavia (Italy) in Computer Science Engineering with a Thesis focusing on the identification of an order parameter in Monte Carlo simulations of dipolar systems on hexagonal lattices.
After completing his Master’s Degree, Alessandro started a PhD in Electronics, Computer Science and Electrical Engineering within the Custom Computing and Programmable Systems group at the same University. During his PhD, he specialised in High Performance Computing and Data Processing. In particular, he focused on Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs) technologies to develop real time solutions for image analysis. His main project was in collaboration with Professor Antonio Plaza, Head of the Hyperspectral Computing Laboratory, University of Extremadura.
Alessandro joined the Department of Oncology in 2014, working as a postdoc in the Computational Biology and Integrative Genomics group.