BrightOwl Loader Loading


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.


Current Experience

  • Research fellow
    Since April 2016
    Department of Biomedical Informatics - Peter J Park Lab: NIH project “Linking sequence and copy number variation to eye diseases by regulatory genomics”, focusing on the analysis of whole genome/exome sequencing data.

Past Experience

  • 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.

  • Research collaborator
    October 2008 --- December 2008
    Scholarship on research project “Systems Biology approaches to infer gene regulation from gene and protein time-series expression data"


LinkedIn Assessment :
GenomicsMatlabMachine LearningRComputational BiologyData AnalysisBioinformaticsSequencingMicroarray AnalysisDatabasesCellSQLJavaPascalSaam IIPython


  • 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

Area / Region

Boston, MA, United States


Driving License
  • Yes