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Giorgio Valentini received the degree in Biology at the University of Genova in 1981. He has been teacher of biology and chemistry in Italian high school from 1982 to 1999. In 1999 he obtained the degree in Computer Science at the University of Milano and obtained a fellowship at INFM. During 2001 he was visiting fellow at the Computer Science Department of the Oregon State University. In 2003 he achieved the PhD in Computer Science at the University of Genova. From 2003 to the end of 2004 he was post-doc researcher at DSI, Computer Science Department, University of Milano. From January 2005 to October 2010 he was Researcher (Assistant professor) at DSI. From November 2010 he is Associate professor at the same Computer Science Department. ResearchResearch activity may be set out in two main areas, Bioinformatics and Machine Learning.
A1. Stability-based methods for the assessment of the reliability of clusters discovered in complex bio-molecular data. A2. Ensemble clustering methods for the analysis of patterns in bio-molecular data
B1. Analysis and design of supervised ensemble methods to support bio-molecular diagnosis. B2. Integration of complex bio-molecular data and integration of feature extraction and feature selection methods for the supervised classification of co-expressed genes. B3. Ontology-based hierarchical classification of genes and proteins. B4. Integration of multiple sources of bio-molecular data for gene function prediction. B5. Machine learning methods for lung nodule detection in x-ray images
C1. Biologically motivated modelling of gene expression profiles
C2. Ontology
driven gene selection methods for the discovery of functional classes
of genes related to a specific phenotype
A1. Error Correcting Output Coding ensemble methods for multiclass classification. A2. Ensemble methods based on the bias-variance decomposition of the error. A3. Supervised ensemble methods based on random projections A4. Hierarchical ensembles for multi-class, multi-label and multi-path classification problems. A5. Ensemble clustering methods
The research activities are documented by more than 80 publications in journals and international conference proceedins. For more details about the above research topics, please see Research activity Participation to research projectsHe contributed to the national MIUR COFIN-PRIN projects Machine Learning Techniques for Bioinformatics: Analysis and Modelling of Functional and Structural Data of Gene Expression (main investigator Paolo Frasconi), and Formal Languages and automata: methods , models and applications (main investigator Alberto Bertoni). He collaborated with Tom Dietterich (Computer Science Dept., Oregon State University) to the development of ECOC ensembles and ensembles methods based on bias-variance analysis, in the context of the NSF funded project From Bits to Information: Statistical Learning Technologies for Digital Information Management Search (Brown University, M.I.T, Oregon State University, and University of Illinois at Urbana-Champaign).He was member of the European Network of Excellence Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL) in the context of 6th European Framework Programme, and actually he is member of the Milan unit of the PASCAL2 network of excellence, within the 7th European Framework Programme. He participates to the project “Computational methods for bio-medical pattern analysis” funded by the University of Milan. He is associated member of the CNR-IEEIT (Electronic Engineering Institute of Telecommunications of the National Research Council) for the project Machine learning techniques for modelling and growing up. He is coordinator of the DSI bioinformatics unit in a common project with the Genetic Department of the Faculty of Medicine (Università degli Studi di Milano) and the Niguarda Hospital of Milano for the diagnosis and bio-molecular therapy of acute myeloid leukaemia. He collaborates with the Department of Bio-molecular Sciences and Biotechnology of the University of Milano. He is responsible of the bioinformatics laboratory at DSI, and he coordinates bioinformatics research in the same department. Moreover he collaborates for teaching and research activities with the Italian Network for Oncology Bioinformatics. He collaborates with the Bioinformatics Department of the Centro de Investigacion Principe Felipe - Valencia (selection of genes correlated to tumoral diseases using selection methods with “embedded” a priori biological knowledge), and with the Dept. of Computer Science of the Aristotle University of Thessaloniki (multilabel hierarchical classification methods and integration of complex biomolecular data for gene function prediction). Conference and workshop organizationHe organized international conferences and workshops on bioinformatics and ensemble methods, and participated to several scientific committees of international conferences.In particular, in 2007 he was co-chair of CIBB 2007, Fourth International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, Portofino, Italy, and chair of SUEMA 2007, International Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (in conjunction with IbPRIA2007), Girona, Spain. He
also organized the second edition of the SUEMA workshop within the ECAI
2008 (European Conference on
Artificial Intelligence) in Patras
(Greece), July 2008, with the support of the Pascal2 European
network of excellence. In 2009 he contributed to the organization of
the
NIPS workshop “Learning from Multiple Sources with Applications
to
Robotics” (Whistler, Canada). He is member of the scientific program committee of several bioinformatics and machine learning international workshops and conferences. Editorial activityHe is member of the Editorial Board of the Open Medical Informatics Journal and of the Open Applied Informatics Journal. He serves as reviewer for the main international bioinformatics journals (Bioinformatics, BMC Bioinformatics, Briefings in Bioinformatics, IEEE ACM Trans. on Comp. Biol. and Bioinformatics and others), and for several machine learning journals ( Journal of Machine Learning Research, Machine Learning, IEEE Transactions on Neural Networks, Neurocomputing and others). Recently he was associated editor of a special issue of Artificial Intelligence in Medicine dedicated to computational intelligence methods in bioinformatics, and co-editor of two Springer books devoted to ensemble methods. He is author of about 30 papers published in international peer-reviewed journals and of more than other 50 papers considering both international conference proceedings, books' chapters and contributions to collections of peer-reviewed papers. TeachingHe
actually (2009/10) holds the courses Bioinformatics
Methods
for the advanced degree in Biomolecular Biotechnologies and
Bioinformatics, University of Milan and Bioinformatics
for the advanced degree in Computer Science, Università
degli Studi di Milano.
Previous courses. Facoltà di Scienze MFN, Università degli Studi di Milano:
Facoltà di Medicina e Chirurgia, Università degli Studi di Milano:
Facoltà di Scienze MFN, Università degli Studi Genova
He was advisor for several theses (degree or advanced degree in Computer Science) and advisor of 4 PhD theses in Computer Science. In 2007 held several bioinformatics classes for the International PhD School in Bioinformatics at the University of Brno (Czech Republic) and in 2008 he held bioinformatics classes for the PhD School at the University of Palermo (Italy). He also held lectures at the International School on Neural Nets "E.R. Caianiello" in Vietri (Italy). From 2008 he is coordinator of the course “R language for Bioinformatics” for the Italian Network for Oncology Bioinformatics.He has been invited speaker of the Fifth edition of CIBB 2008, International Conference on Bioinformatics and Biostatistics, and he held lectures and seminars in several academic and research centres. He participated as invited speaker at the international workshop “Statistical approaches and validation in clustering: mixture models and non-parametric methods”, organized in the framework of the Pascal network of excellence at the University of Caen (France). Membership in national and international research associations and society.He is member of the INNS (International Neural Networks Society), SIREN (Italian Society of Neural Networks), ISCB (International Society of Computational Biology), and BITS (Italian Bioinformatics Society).He is associated member of the CNR-IEEIT (Electronic Engineering Institute of Telecommunications of the National Research Council).
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Last Updated: October 2010
