Giuditta Franco

Foto,  May 5, 2010
Position
Assistant Professor
Academic sector
INF/01 - INFORMATICS
Research sector (ERC)
PE6_13 - Bioinformatics, biocomputing, and DNA and molecular computation

Office
Ca' Vignal 2,  Floor 1,  Room 72
Telephone
+39 045 802 7045
Fax
+39 045 802 7068
E-mail
giuditta|franco*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Thursday, Hours 9:30 AM - 11:30 AM,   Ca' Vignal 2, Floor 1, room 72

Curriculum

Giuditta Franco graduated in Mathematics in Pisa (2001) and earned her PhD in Computer Science, with a dissertation entitled “Bio-molecular Computing: Combinatorial Algorithms and Laboratory Experiments”, at the University of Verona (2006), where she currently holds a permanent research position (ricercatore RU), with a professional history of several fellowships: at University of Pisa (both in the departments of Mathematics and Computer Science, 2001-2003), at University of Verona (both in the department of Computer Science and CBMC research center, 2003-2007), and abroad (both in the Leiden Institute of Advanced Computer Science, the Netherlands, and Mathematics Department of University of South Florida, USA, 2005-2006). She has spent several periods abroad, specifically in the United States (at the USF and at the SUNY Binghamton, USA) and in the Netherlands (at LIACS), and has matured an experimental experience by means of a few stages in molecular biology laboratories (at both the Department of Biotechnology and the Department of General pathology at university of Verona, and at the Department of Biological Sciences in Binghamton University, NY, USA).

Her research interests lie between discrete mathematics and theoretical computer science, with a focus on the i) design of computational models for biological systems and metabolic processes, ii) design and implementation of algorithms in bio-molecular computing, iii) computational properties of DNA string operations and informational analysis of genomes iv) design of data-driven models for the immune system and bioreactors. Her work involved informational analysis of DNA sequences, as well as dynamic modelling, by means of membrane systems and multivariate time-series analysis, of immunological processes such as the cellular tissue healing. Recent results regard the model of age-related changes of B cell networks and of bacterial population evolution. The results of her analytical and experimental (in molecular biology laboratories) study of bio-molecular algorithms include: novel methods of DNA extraction and recombination (such as libraries generation); the discovery of informational and computational principles characterising DNA molecular structure; and new theoretical models for the generation of DNA three-dimensional structures via self-assembly. She is a co-author of about 50 scientific contributions, some of which have appeared in prestigious international journals (such as Mathematical Biosciences, TCS, Natural Computing, Biosystems, BMC Genomics, The Journal of Logic and Algebraic Programming), and she has given talks in about 30 international workshops, in addition to about 20 invited talks.


Giuditta Franco is on the PC of several different conferences, and a reviewer for several international journals, including journals of the American Mathematical Society. She regularly serves EC as a remote reviewer for EU projects. She has had a couple of editorial experiences as a journal co-editor, and a long history of teaching activity (2002-2020), including supervision and tutoring of students’ theses and stages, both in Italy and abroad.




 

Modules

Modules running in the period selected: 21.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Bachelor's degree in Bioinformatics Informational Methods (2020/2021)   6  eLearning
Master's degree in Medical Bioinformatics Natural Computing (2020/2021)   6  eLearning
Master's degree in Medical Bioinformatics Natural Computing (2019/2020)   6  eLearning
PhD in Computer Science Attività didattica dottorato (2019/2020)   50  eLearning
Master's degree in Medical Bioinformatics Natural Computing (2017/2018)   6   
Bachelor's degree in Bioinformatics Informational Methods (2016/2017)   6   
Master's degree in Medical Bioinformatics Natural Computing (2016/2017)   6   
Master's degree in Bioinformatics and Medical Biotechnology Models of Natural Computing (2015/2016)   6   
Master's degree in Bioinformatics and Medical Biotechnology Models of Natural Computing (2014/2015)   6  eLearning
Bachelor's degree in Bioinformatics Discrete Biological Models (2013/2014)   6   
Master's degree in Mathematics Mathematical Methods for Computer Science (2013/2014)   6   
Bachelor's degree in Bioinformatics Discrete Biological Models (2012/2013)   6   
Bachelor's degree in Bioinformatics Discrete Biological Models (2011/2012)   6   
Bachelor's degree in Bioinformatics Discrete Biological Models (2010/2011)   6   
Bachelor's degree in Bioinformatics Discrete Biological Models (2009/2010)   6   
Masters in Molecular and Industrial Biotechniques Infobiotics (2009/2010)   4   
Bachelor's degree in Bioinformatics (until 2008-2009) Discrete Biological Models (2008/2009)   5   
Masters in Molecular and Industrial Biotechniques Infobiotics (2008/2009)   4   
Bachelor's degree in Bioinformatics (until 2008-2009) Algorithms and Data Structures (2007/2008)   10    Laboratorio
Masters in Molecular and Industrial Biotechniques Infobiotics (2007/2008)   4   
Masters in Molecular and Industrial Biotechniques Infobiotics (2006/2007)   4   

 

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.
Bioinformatics and Natural Computing
Algorithmic analysis of biological processes.
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
Biological network dynamics Design and analysis of data-driven computational models, for both metabolic and immunological dynamics, based on grammars ruled by state functions. Biological network dynamical properties are investigated in terms of discrete mathematics and model simulation. Membrane and metabolic computing for biological modeling. Genetic network investigation based on computational genomics studies. Bioinformatics and medical informatics
Life and medical sciences
Computational genomics and DNA computing Investigation and classification of genomic sequences by means of information theory based methods. Design and analysis of both bio-inspired and molecular algorithms, along with their lab implementation. Bioinformatics and medical informatics
Life and medical sciences
Projects
Title Starting date
Modelli simbolici di dinamiche cellulari: algoritmi biomolecolari e sistemi dinamici a membrana - Rinnovo (PRIN 2006) 2/9/07
Modelli simbolici di dinamiche cellulari 12/1/04
Modelli simbolici di dinamiche cellulari: algoritmi biomolecolari e sistemi a membrana. (PRIN 2004) 11/30/04
Bio-molecular algorithms for NP complete problems 2/21/03




Organization

Department facilities