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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. 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

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