icona researchEducation

Giulio Ferrero's education and professional development:

  • 2016-Now
    Post Doc, University of Turin.
    PI: dr. Francesca Cordero
  • 2012-2015
    Ph.D. Candidate in Complex Systems for Life Sciences, University of Turin.
    Thesis: Functional characterization of human noncoding genome by integrative analysis of High-Throughput data.
    Supervisors: dr. Francesca Cordero, prof. Michele De Bortoli, prof. Gianfranco Balbo.
  • 2010-2012
    Master degree Cellular and Molecular Biology, “summa cum laude", University of Turin.
    Thesis: A new data processing pipeline for the bioinformatic analysis of transcription factor genomic binding events.
    Supervisors: dr. Francesca Cordero, prof. Michele De Bortoli.
  • 2006-2010
    Bachelor degree Biological Science, 100/110, University of Turin.
    Thesis: ChIA-PET: Analysis and prospects of a novel technique to study chromatin architecture
    Supervisors: dr. Santina Cutrupi, prof. Michele De Bortoli.
  • 2019:
    Machine Learning A-Z: Hands-On Python & R In Data Science through Udemy.
    Metagenomics applied to surveillance of pathogens and antimicrobial resistance by the Technical University of Denmark through Coursera.
    Whole genome sequencing of bacterial genomes - tools and applications by the Technical University of Denmark through Coursera.
    Introduction to Machine Learning through DataCamp.
    Data visualization with ggplot2 through DataCamp.
    Reporting with R Markdown through DataCamp.
  • 2017:
    Python for Genomic Data Science byJohns Hopkins University through Coursera.org.
  • 2016:
    Bioinformatic Methods II by University of Toronto through Coursera.org.
  • 2015:
    Big Data Science with the BD2K-LINCS Data Coordination and Integration Center by Icahn School of Medicine at Mount Sinai through Coursera.org.
    Case Study: ChIP-seq data analysis by Harvard University through edX.org.
    Data Analysis and Statistical Inference by Duke University through Coursera.org.
    Bioinformatic Methods I by University of Toronto through Coursera.org.
    Statistics and R for the Life Sciences by Harvard University through edX.org.
    Data Mining with Weka by University of Waikato.
    Genomic and Precision Medicine by University of California, San Francisco through Coursera.org.
    Network Analysis in Systems Biology by Icahn School of Medicine at Mount Sinai through Coursera.org.
  • 2014:
    R Programming by Johns Hopking Bloomberg School of Public Health through Coursera.org.
    An Introduction to Interactive Programming in Python by Rice University through Coursera.org.
  • 2013:
    Csama 2013: computational statistics for genome biology (11th edition) at Bressanone-Brixen, Italy.