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CINZIA PIZZI

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Position

Professoressa Associata

Address

VIA G. GRADENIGO, 6/B - PADOVA

Telephone

0498277921

C.Pizzi is an associate professor at the Department of Information Engineering at the University of Padua. His research is in the field of algorithms and data structures for the analysis of sequences through pattern mining techniques, with the main application area being bioinformatics. In particular she deals with the design and development of alignment-free methods for genomics and metagenomics.

C.Pizzi obtained a degree in Computer Engineering in 2001 (with honors) and a doctorate in Computer Engineering and Industrial Electronics from the University of Padua in 2005. After a Marie-Curie scholarship at the European Bioinformatics Institute (EBI) UK, was a postdoc at the Dept. of Computer Science, University of Helsinki, and in 2007 obtained an INRIA fellowship at Univ. Lyon I. In 2008 she returned to the Univ. of Padua, where she won the "Avere Trent'anni" research prize, and in 2010 she received the nomination as "Outstanding Young Researcher" from the Dept. of Information Engineering. She visited Renyi Inst. of Math. (Hungarian Academy of Sciences), GeorgiaTech and Purdue Univ. (USA), EBI (Cambridge, UK), Seoul Univ. She has held invited seminars in various international institutes. She is a reviewer for international journals and conferences of Computer Science and Bioinformatics. Her research was supported by: PRIN 2012 (PI), university projects, EU project HuBi, Marie Curie Transfer of Knowledge and Early Stage fellowships; INRIA fellowship; EU project Regulatory Genomics, Academy of Finland.

Experience in teaching, DEI, University of Padua
C.Pizzi teaches the "Fundamentals of Computer Science" course and the "Elements of Bioinformatics" course for the degree in Computer Engineering and the "Bioinformatics" course for the master's degree in Computer Engineering. In the past she held the courses: Theoretical Computer Science, Algorithms for Bioinformatics, Programming and Data Structures.

She has been supervisor and co-supervisor of over 40 Bachelor's, Specialist and Master's theses in Computer and Information Engineering.

Service activities to the Scientific Community
C.Pizzi was co-chair of RECOMB-SEQ 2021, and co-organizer of RECOMB 2020 and 2021 (satellite chair). C.Pizzi has been a member of the Program Committee of numerous international conferences including RECOMB, WABI, SPIRE. She is a reviewer for numerous international journals, including Nature-Scientific Reports, Bioinformatics, PLOS Computational Biology, Theoretical Computer Science, Journal of Discrete Algorithms, BMC Bioinformatics, ACM/IEEE Transaction in Computational Biology.

Scholarships and scholarships
Nomination "Outstanding Young Researcher", 2010; "Avere Trent'Anni" Research Award, 2008; EU Marie-Curie Fellowship, 2005; doctoral scholarship, 2003-2004; Ing.A.Gini Foundation: 98/99 scholarship and 1999 research award; Erasmus 98/99 scholarship

Invited talks
C.Pizzi has been invited speaker at Computability in Europe 2020 (Combinatorial String Matching session). In the past you have held invited seminars at prestigious international universities and institutes (including Univ. Of Oxford, Helsinki Univ., Bielefeld Univ., Lyon Univ., Texas A & M Univ., Hungarian Academy of Science).

Notices

Office hours

  • at Stanza 402, quarto piano sede DEI/G del Dipartimento di Ingegneria dell'Informazione - via Gradenigo 6 - Padova
    Si prega di inviare una mail per richiedere un appuntamento.

Teachings

Thesis proposals

Thesis are available for both bachelor and master degree in Computer Engineering or Information Engineering.

Topics are related to algorithms and data structures for the analysis of sequences and graphs, with application to genomics (DNA of a single species) and to metagenomics (DNA of more species living in the same environment). Problems might concern pattern discovery, clustering, classification, efficient data representation.

For the three-year degrees, theses are also available that investigate specific types of data structures, for example by filtering (e.g. bloom filter, cuckoo filter), sketching (minhash, count-min-sketch, etc), representation through compressed data structures (fm-index, structures based on suffixes: suffix tree and suffix array). These theses can be purely compilative or have a more implementing/experimental cut, depending on the preference of the student.

Due to the general purpose of data structures that are used for data modelling in terms of strings and graphs, it is possibile that thesis will be available also in other application fields (e.g. text processing, data compression, web mining).