Rosalba Giugno

rg,  May 6, 2016
Full Professor
Academic sector
Research sector (ERC)
LS2_10 - Bioinformatics

Ca' Vignal 2,  Floor 1,  Room 83
rosalba|giugno*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page

Office Hours

Thursday, Hours 11:30 AM - 12:30 PM,   Ca' Vignal 2, Floor 1, room 83

  • pdf   CV-EN   (pdf, en, 492 KB, 04/11/23)
  • pdf   CV-IT   (pdf, it, 209 KB, 04/11/23)

Rosalba Giugno è Professore Ordinario di Informatica presso il Dipartimento di Informatica dell'Università di Verona. Ha conseguito la Laurea in Informatica presso l'Università di Catania nel 1998 con Lode. Ha conseguito il Dottorato di Ricerca in Informatica presso l'Università di Catania nel 2003. Per il suo programma di dottorato ha trascorso tre anni di ricerca all'estero, presso l'Università del Maryland, la New York University e la Cornell University (NY). È referente del Master in Medical Bioinformatics. È PI del laboratorio InfoOmics dell'Università di Verona. Da quando si è trasferita a Verona nel 2016, guida un gruppo di ricerca composto da 5 dottorandi e diversi studenti di tesi di laurea magistrale. La sua ricerca è focalizzata su algoritmi per grafi e reti biologiche, integrazione e analisi di dati biomolecolari, modellazione di sistemi biologici per la medicina personalizzata. È autrice di 130 pubblicazioni scientifiche, 70 su riviste internazionali. È editor di Information Systems. Ha partecipato a diversi progetti nazionali ed europei, anche con partner industriali. Fa parte del comitato scientifico di congressi e scuole internazionali. Dal 2017 al 2022 è stata Direttore del laboratorio Infolife composto da 35 gruppi di ricerca denominati "nodi", che fanno capo ad altrettante Unità di Ricerca delle Università italiane. 


Modules running in the period selected: 18.
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Research groups

Algorithmic Bioinformatics and Natural Computing
Application of theoretical methods and data analysis to model information underlying biological processes: graph and string algorithms for systems biology; advanced data structures for sequence data; distance measures for biological sequences; natural (biotechnological, membrane) computing; pattern recognition, machine learning for biomedical data.
INdAM - Research Unit at the University of Verona
We collect here the scientific activities of the Research Unit of Istituto Nazionale di Alta Matematica INdAM at the University of Verona
Research interests
Topic Description Research area
Bioinformatics and Natural Computing Our research is mainly focused on the following topics: 1) Discrete and algorithmic analyses of biological dynamics (metabolism and replication, and their interplay in cellular processes); 2) Informational and computational analysis of genomes (genomic dictionaries, genomic indexes, genomic distributions of specific parameters, genome representations, genome synthesis and reconstruction from dictionaries). In these research areas, theories and algorithms are investigated and software packages are developed for computational experiments and analyses. Bioinformatics and medical informatics
Life and medical sciences
Systems Biology, Computational Network Biology Design of algorithms and methods to understand biological systems using data mining and bioinformatics techniques. The focus is on biological network modeling, perturbation and analysis; classification of phenotypes by coding and non-coding expression profiles; drug synergy and mechanism of action by drug target/off-target/combination prediction. Bioinformatics and medical informatics
Life and medical sciences
Title Starting date
A platform for the development of Artificial Intelligence applications based on Intelligent Video Analysis for commercial catering activities with table service 10/1/20
EDIPO: A computational solution for bringing neuroimaging genetic into translational research 4/1/20
ADAIR - From air pollution to brain pollution - novel biomarkers to unravel the link of air pollution and Alzheimer's disease 1/1/20
Genomics and matagenomics in agro-industrial research 4/16/19
Distributed Optimization for Large-scale Statistical Modeling 2/26/19
INFO-BACT-MAR: Development of a computational platform for the traceability of microorganisms in agro-food processes using patented HPME markers. 9/1/18
Genomics and matagenomics in agro-industrial research 8/29/18
High-Performance Decision Support System to Diagnose Uncharacterized Eye Diseases 3/9/18
vEyes Wear: open hardware and software wearable platform 1/15/18
Computaitonal analysis of genomic diseases 10/1/17
PREDYCOS: Personalized REsponsive Dynamic COmplex System 7/10/17
High performing computational models for biomedical information extraction and integration 1/1/17
InfoGenAgriFood: a bioinformatics integrated platform for the genomics of agricolture food production. 9/1/16
Integrating national and international spontaneous adverse drug reaction knowledge bases for pattern discovery in pharmacovigilance. 1/1/16


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