Simone Furini is Researcher at the Department of Medical Biotechnologies of the University of Siena, Italy. He graduated in Electronical Engineering at the University of Bologna in 2002, and received his PhD in Bioengineering from the same University in 2008, discussing a thesis about computational analyses of ion channels by atomistics simulations and continuum models. His main area of expertise is the simulation of biological systems at the atomic and molecular level, with contributions in the fields of conduction and selectivity mechanisms in membrane proteins, and to the analysis of protein-DNA interactions. More recently, he is applying Machine Learning methods to the analysis of sequencing experiments, with applications to vaccine development, and to the identification of the genetic bases of COVID-19 severity.

PhD student in Genetics, Oncology and Clinical Medicine - GenOMeC, University of Siena.

Principal subjects/occupational skills covered:

1) Implementation of a Machine Learning model combining different bioinformatic scores of variant deleteriousness.

2) Boolean representation of genomic variability based on different inheritance models

3) CNVs detection and analysis from Whole Exome Sequencing data.

Application of mainstream bioinformatics techniques for genomic data (Alignment, Variant calling, Annotation)

Kristina is graduated at University of Tirana, Albania, in 2015 with a Bachelor's Degree in Biotechnologies. In 2020, I completed a Master of Medical Biotechnologies from the University of Siena. She started the path to Computational Biology with the work for dissertation in Molecular Dynamics Simulations of ion conduction in the human sodium channel Na_v1.4. Currently, she is a PhD student in the Genetics, Oncology, and Clinical Medicine doctorate program at the University of Siena. Principal subjects/occupational skills are focused on applying different bioinformatic tools and Machine Learning methods to analyze genetic data.