My main interest is the development and application of statistical and machine learning methods for the analysis of genomic and proteomic data, especially in high-throughput data analysis. In particular, my research activity focuses on the integration of biological information in un-supervised and supervised classification of gene expression data.
Since April 2016
Department of Biomedical Informatics - Peter J Park Lab: http://compbio.hms.harvard.edu/index NIH project “Linking sequence and copy number variation to eye diseases by regulatory genomics”, focusing on the analysis of whole genome/exome sequencing data.
Post-doctoral research fellow
January 2012 --- March 2016
Post-doctoral Research Fellow - Visiting Scientist
April 2012 --- March 2013
Research projects related to genomic analysis and computational methods for studying the development of pancreatic beta cells using Next Generation Sequencing data: RNA and methylation sequencing.
October 2008 --- December 2008
Scholarship on research project “Systems Biology approaches to infer gene regulation from gene and protein time-series expression data"
Doctor of Philosophy (Ph.D.) in Bioengineering from University of Padova in 2011
Master’s Degree in Bioengineering from University of Padova in 2008
Bachelor’s Degree in Information Technologies Engineering from University of Padova in 2006