Capo gruppo di ricerca presso il Centro di Ricerca in Biologia Computazionale di Human Technopole, dove dal 2020 sta istituendo un programma di ricerca in Computational cancer Pharmacogenomics e Therapeutic Target Discovery. Dal 2018 al 2020 ha guidato il team Cancer Dependency Map Analytics al WSI, fornendo supporto computazionale alla partnership Cancer Dependency Map, iniziativa internazionale che coinvolge il WSI e il Broad Institute di MIT e Harvard con l’obiettivo di identificare tutte le dipendenze genetiche e le vulnerabilità esistenti nelle cellule di cancro. In questo ruolo, ha guidato lo sviluppo di nuovi algoritmi e strumenti computazionali per l’analisi e l’integrazione di dati di farmacogenomica del cancro su larga scala e di genomica funzionale.
Francesco Iorio
research group leader Centre of Research in Computational Biology, Human Technopole
Group Leader at the Centre for Computational Biology Research at Human Technopole, where since 2020 he has been establishing a research program in Computational Cancer Pharmacogenomics and Therapeutic Target Discovery.
From 2018 to 2020, he led the Cancer Dependency Map Analytics team at the WSI, providing computational support to the Cancer Dependency Map partnership—an international initiative involving WSI and the Broad Institute of MIT and Harvard, aimed at identifying all genetic dependencies and vulnerabilities present in cancer cells. In this role, he led the development of new algorithms and computational tools for large-scale analysis and integration of cancer pharmacogenomics and functional genomics data.
Saturday 27 september / time 16.30-17.45
Urban Center
Corso Camillo Benso Conte di Cavour, 2/2, 34132 Trieste, TS, ItaliaUrban Center
A panel with
Alberto Cazzaniga, researcher Laboratory of Data Engineering Area Science Park
Francesco Iorio, research group leader Centre of Research in Computational Biology, Human Technopole
Alona Sosinsky, scientific director Cancer Genomics England
Chaired by
Nicla Panciera, science writer