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. 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 fellowJanuary 2012 --- March 2016
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