Rosalba Giugno

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  4. Rosalba Giugno
rg, May 6, 2016
Position
Associate Professor
Academic sector
INF/01 - INFORMATICS
Research sector (ERC)
LS2_10 - Bioinformatics

Office
Ca' Vignal 2,  Floor 1,  Room 83
Telephone
0458027066
E-mail
rosalba|giugno*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page
https://infomics.github.io/InfOmics/

Office Hours

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

Curriculum
  • pdf   CV-EN   (pdf, en, 46 KB, 24/10/17)
  • pdf   CV-IT   (pdf, it, 47 KB, 24/10/17)

Rosalba Giugno è professore associato presso il Dipartimento di Informatica dell’Università di Verona. Ha ottenuto il PhD in Informatica presso l'Università di Catania nel 2003. Per la stesura della tesi di dottorato ha trascorso tre anni di ricerca all'estero presso l'Università del Maryland lavorando con il Prof. VS Subrahmanian e la New York University con il Prof. Dennis Shasha. I suoi interessi scientifici riguardano principalmente algoritmi sui grafi e reti biologiche, l’integrazione e l’analisi di dati biomolecolari, la modellazione di sistemi biologici, e la “RNA-interference”. E’ autrice di 120 pubblicazioni, 42 in riviste scientifiche. Negli ultimi 5 anni ha prodotto 60 pubblicazioni, 26 in riviste quali “Bioinformatics”, “Nucleic Acids Research, “Database”,  “BMC Bioinformatics”, “BMC Genomics”, “Journal Of Bioinformatics and Computational Biology”, e “Nature Biotechnology”. Partecipa a diversi progetti nazionali ed europei, anche con partner industriali. Fa parte del comitato scientifico di  diversi convegni e scuole, tra cui la Jacob T. Schawartz International School for Scientific Research in Bioinformatics and Computational Biology (con A. Ferro, C. Croce e il premio nobel M. Levitt). E' al servizio, come revisore, di diversi convegni internazionali e riviste scientifiche, in particolare è “review editor” di Frontiers in Bioengineering and Biotechnology. Fa parte del collegio docenti del dottorato in Biomedicina Traslazionale dell’Università di Catania. Collabora con gruppi di bioinformatica e medici dell’Università di Verona, dell'Università di Catania,  dell’istituto di genetica della Ohio State University, del Donnelly Centre dell’Università di Toronto, dello IOR Svizzera,  e della scuola di Informatica dell’Università di Tel-Aviv. 
 

Modules

Modules running in the period selected: 17.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master's degree in Medical Bioinformatics Analisi di dati Multi-omics da single-cell (2022/2023)   6  eLearning 6 
PhD in Computer Science INTRODUCTION TO MASS AND ENERGY BALANCES (2022/2023)   50  eLearning 1 
Master's degree in Medical Bioinformatics Programmazione per la Bioinformatica (2022/2023)   12  eLearning 6  (Laboratorio)
6  (Teoria)
PhD in Computer Science Algoritmi per l'analisi di dati da Single cell e tematiche relative (2021/2022)   3  eLearning 3 
Master's degree in Medical Bioinformatics Programmazione per la Bioinformatica (2021/2022)   12  eLearning 6  (Laboratorio)
6  (Teoria)
Master's degree in Medical Bioinformatics Programming laboratory for bioinformatics (2020/2021)   12  eLearning 6  (Laboratorio)
6  (Teoria)
PhD in Computer Science INTRODUCTION TO MASS AND ENERGY BALANCES (2019/2020)   50  eLearning 1 
Master's degree in Medical Bioinformatics Programming laboratory for bioinformatics (2019/2020)   12  eLearning 6  (Teoria)
6  (Laboratorio)
Master's degree in Medical Bioinformatics Programming laboratory for bioinformatics (2018/2019)   12  eLearning 6  (Laboratorio)
6  (Teoria)
Master's degree in Medical Bioinformatics Programming laboratory for bioinformatics (2017/2018)   12  eLearning 12 
Bachelor's degree in Bioinformatics Information recognition and retrieval for bioinformatics (2016/2017)   12  eLearning 1  (Teoria)
Master's degree in Medical Bioinformatics Programming laboratory for bioinformatics (2016/2017)   12  eLearning 12 

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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
Projects
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



Organization

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