Curriculum vitæ of Dario Malchiodi – compact

This CV contains a selected list of the activities carried out during my academic career. A full and short version are available.

Personal information

Dario Malchiodi
Dipartimento di Informatica – Università degli Studi di Milano
Room 5015 – Via Celoria 18 – 20133 Milano ITALY
Mail: first . last at unimi . it
Web: http://malchiodi.di.unimi.it
phone: +39 02 503 16338 – skype: dariomalchiodi

PGP key

Current position

Since 2011 I am associate professor at the Computer Science Department of the University of Milan.

Previous positions

2002 > 2011: Assistant professor at the Computer Science Department of the University of Milan.
2001 > 2002: Research assistant at the Computer Science Department of the University of Milan, within the Neural Networks Laboratory.

Education

2000: PhD in Computational Mathematics and Operations Research, University of Milan.
1996: MSc (cum laude) in Computer Science, University of Milan.

Research activities

Membership to research projects

2019 > 2021: Multicriteria Data Structures and Algorithms: from compressed to learned indexes, and beyond (Italian Ministry of education and research, PRIN) – member
2016 > 2018: Fostering a correct view of informatics (University of Milan, PSR) – coordinator
2012 > 2015: SandS: Social AND Smart (European Commission, Erasmus Programme) – member
2012 > 2014: VIOPE: Learning computer programming in virtual environment (European Commission, 6th Framework Programme) – member
2008 > 2013: PASCAL2: Pattern Analysis, Statistical Modelling and Computational Learning (European Commission, 7th Framework Programme) – member
2005 > 2008: PASCAL: Pattern Analysis, Statistical Modelling and Computational Learning (European Commission, 6th Framework Programme) – member
2001 > 2003: ORESTEIA: mOdular hybRid artEfactS wiTh adaptivE funtIonAlity (European Commission, 5th Framework Programme) – member

Membership to academic associations and research groups

2021 >: CINI Laboratory on Big Data
2020 >: CINI Laboratory on Artificial Intelligence and Intelligent Systems (AIIS)
2020 >: NIH National COVID Cohort Collaborative (N3C)
2020 >: COVID-19 International Research Team
2016 >: Visiting scientist at INRIA/Université de la Côte d'Azur within the WIMMICS project
2019 >: Data science research centre, University of Milano
2008 > 2019: ALaDDIn laboratory
2002 > 2013: Italian Society for Neural Networks

Awards

2018: CSEDU 2018 best poster award (Carlo Bellettini, Fabrizio Carimati, Violetta Lonati, Riccardo Macoratti, Dario Malchiodi, Mattia Monga and Anna Morpurgo, A Platform for the Italian Bebras)
2016: Informatics Europe Best Practices in Education Award (ALaDDIn laboratory)

Publications

I authored around one hundred papers on journals and international conference proceedings, among which the most relevant are listed hereinafter.

Malchiodi et al., 2025: Malchiodi Dario, Zanaboni Anna M., Di Gioacchino Alessandro and Bonizzoni LetiziaOne-class vs binary machine learning classification of ceramic samples described by chemical element concentrations, Journal of Cultural Heritage 71 (2025), 234-241
Blandino et al., 2024: Blandino Alberto, Zanaboni Anna M., Malchiodi Dario, Di Francesco Carlotta V., Spada Claudio, Faraone Chiara, Travaini Guido V. and Casali Michelangelo B.Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?, International Journal of Legal Medicine (2024)
Paravisi et al., 2024: Paravisi Mattia, Visconti Andrea and Malchiodi DarioSecurity Analysis of Cryptographic Algorithms: Hints from Machine Learning, in L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis and C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2024., Vol. 2141, Cham: Springer, Communications in Computer and Information Science, 569–580, 2024
Frasson and Malchiodi, 2024: Frasson Marco and Malchiodi DarioSupport Vector Based Anomaly Detection in Federated Learning, in L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis and C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2024., Vol. 2141, Cham: Springer, Communications in Computer and Information Science, 274–287, 2024
Malchiodi et al., 2024: Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele and Frasca MarcoThe role of classifiers and data complexity in learned Bloom filters: insights and recommendations, Journal of Big Data 11 - 45 (2024)
Nicolini et al., 2024: Nicolini Marco, Malchiodi Dario, Cabri Alberto, Cavalleri Emanuele, Mesiti Marco, Paccanaro Alberto, Robinson Peter N., Reese Justin, Casiraghi Elena and Valentini GiorgioFine-Tuning of Conditional Transformers Improves the Generalization of Functionally Characterized Proteins, in BIOSTEC 2024 - 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Proceedings, Vol. 1, SCITEPRESS (ISBN 978-989-758-688-0), 561-568, 2024
Valentini et al., 2023: Valentini Giorgio, Malchiodi Dario, Gliozzo Jessica, Mesiti Marco, Soto-Gomez Mauricio, Cabri Alberto, Reese Justin, Casiraghi Elena and Robinson Peter N.The promises of large language models for protein design and modeling, Frontiers in Bioinformatics 3 (2023), 1304099
Marinò et al., 2023: Marinò Giosuè C., Furia Flavio, Malchiodi Dario and Frasca MarcoEfficient and Compact Representations of Deep Neural Networks via Entropy Coding, IEEE Access 11 (2023), 106103—106125
Gliozzo et al., 2024: Gliozzo Jessica, Marinò Giosuè, Bonometti Arturo, Frasca Marco and Malchiodi DarioResource-Limited Automated Ki67 Index Estimation in Breast Cancer, in Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications (ICBRA '23), New York, NY, USA: ACM, 165–172, 2024
Ruschioni et al., 2023: Ruschioni Giulia, Malchiodi Dario, Zanaboni Anna M. and Bonizzoni LetiziaSupervised learning algorithms as a tool for archaeology: classification of ceramic samples described by chemical element concentrations, Journal of Archaeological Science: Reports 49 (2023), 103995
Malchiodi et al., 2023: Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele and Frasca MarcoA Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials, in L. Iliadis, I. Maglogiannis, S. Alonso Castro, C. Jayne and E. Pimenidis (Eds.), Engineering Application of Neural Networks — 24th International Conference — EAAAI/EANN 2023 — León, Spain, June 14—17, 2023 —Proceedings, Springer Nature, Communications in Computer and Information Science 1826, 47—61, 2023
Marinò et al., 2023a: Marinò Giosuè C., Petrini Alessandro, Malchiodi Dario and Frasca MarcoDeep neural networks compression: a comparative survey and choice recommendations, Neurocomputing 520 (2023), 152—170
Condorelli and Malchiodi, 2022: Condorelli Andrea and Malchiodi DarioDesigning a Master Course on Architectures for Big Data: A Collaboration Between University and Industry, Informatics in Education 4 (2022), 635—653
Zanaboni et al., 2022: Zanaboni Anna M., Malchiodi Dario, Bonizzoni Letizia and Ruschioni GiuliaClassification of Pottery Fragments Described by Concentration of Chemical Elements, in P. L. Mazzeo, E. Frontoni, S. Sclaroff and C. Distante (Eds.), Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022., Vol. 13373, Cham: Springer, Lecture Notes in Computer Science (ISBN 978-3-031-13320-6), 141—151, 2022
Fumagalli et al., 2022: Fumagalli Giacomo, Raimondi Davide, Giancarlo Raffaele, Malchiodi Dario and Frasca MarcoOn the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters, in Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods — ICPRAM, SciTePress (ISBN 978-989-758-549-4), 675—682, 2022
Casali et al., 2021: Casali Michelangelo, Malchiodi Dario, Spada Claudio, Zanaboni Anna M., Cotroneo Rosy, Furci Domenico, Sommariva Andrea, Genovese Umberto and Blandino AlbertoA pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles, Journal of Forensics and Legal Medicine 84 (2021), 102256
Bagardi et al., 2021: Bagardi Mara, Locatelli Chiara, Zanaboni Anna M., Galizzi Alberto, Malchiodi Dario and Brambilla Paola G.Multiple retrospective analysis of survival and evaluation of cardiac death predictors in a population of dogs affected by degenerative mitral valve disease in ACVIM class C treated with different therapeutic protocols, Polish Journal of Veterinary Sciences 24 - 1 (2021), 109—118
Esposito et al., 2021: Esposito Andrea A., Casiraghi Elena, Chiaraviglio Francesca, Scarabelli Alice, Stellato Elvira, Plensich Guido, Lastella Giulia, Di Meglio Letizia, Fusco Stefano, Avola Emanuele, Jachetti Alessandro, Giannitto Caterina, Malchiodi Dario, Frasca Marco, Beheshti Afshin, Robinson Peter N., Valentini Giorgio, Forzenigo Laura and Carrafiello GianpaoloArtificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical, and a Qualitative Chest X-Ray Scoring System, Reports in Medical Imaging 14 (2021), 27—39
Galizzi et al., 2021: Galizzi Alberto, Bagardi Mara, Stranieri Angelica, Zanaboni Anna M., Malchiodi Dario, Borromeo Vitaliano, Brambilla Paola G. and Locatelli ChiaraFactors affecting the urinary aldosterone-to-creatinine ratio in healthy dogs and dogs with naturally occurring myxomatous mitral valve disease, BMC Veterinary Research 17 - 1 (2021), 1—14
Marinò et al., 2021: Marinò Giosuè C., Ghidoli Gregorio, Frasca Marco and Malchiodi DarioReproducing the sparse Huffman Address Map compression for deep neural networks, in B. Kerautret, M. Colom, A. Krähenbühl, Adrien, D. Lopresti, P. Monasse and H. Talbot (Eds.), Reproducible Research in Pattern Recognition, Cham: Springer International Publishing, Lecture Notes in Computer Science 12636, 161—166, 2021
Casiraghi et al., 2020: Casiraghi Elena, Malchiodi Dario, Trucco Gabriella, Frasca Marco, Cappelletti Luca, Fontana Tommaso, Esposito Andrea A., Avola Emanuele, Jachetti Alessandro, Reese Justin, Rizzi Alessandro, Robinson Peter N. and Valentini GiorgioExplainable machine learning for early assessment of COVID-19 risk prediction in emergency departments, IEEE Access 8 (2020), 196299—196325
Marinò et al., 2021a: Marinò Giosué C., Ghidoli Gregorio, Frasca Marco and Malchiodi DarioCompression strategies and space-conscious representations for deep neural networks, in 2020 25th International Conference on Pattern Recognition (ICPR), IEEE, 9835—9842, 2021
Bellettini et al., 2020: Bellettini Carlo, Lonati Violetta, Malchiodi Dario, Monga Mattia and Morpurgo AnnaAlgomotricità: manipolare i fondamenti dell'Informatica, in and E. Nardelli (Ed.), Coding e oltre: l'informatica nella scuola, Chapter , Liscianilibri (ISBN 978-8892810426), 2020
Malchiodi et al., 2020: Malchiodi Dario, da Costa Pereira Célia and Tettamanzi Andrea G.Classifying Candidate Axioms via Dimensionality Reduction Techniques, in V. Torra, Y. Narukawa, J. Nin and N. Agell (Eds.), Modeling Decisions for Artificial Intelligence. 17th International Conference, MDAI 2020 Sant Cugat, Spain, September 2–4, 2020 Proceedings, Cham, Switzerland: Springer, Lecture Notes in Computer Sciencce 12256, 179—191, 2020
Lodi et al., 2019: Lodi Michael, Malchiodi Dario, Monga Mattia, Morpurgo Anna and Spieler BernadetteConstructionist Attempts at Supporting the Learning of Computer Programming: A Survey, Olympiads in Informatics 13 (2019), 99—121
Malchiodi and Zanaboni, 2019: Malchiodi Dario and Zanaboni Anna MariaData-Driven Induction of Shadowed Sets Based on Grade of Fuzziness, in R. Fullér, S. Giove and F. Masulli (Eds.), Fuzzy Logic and Applications — 12th International Workshop, WILF 2018 Genoa, Italy, September 6–7, 2018 — Revised Selected Papers, Cham: Springer Nature Switzerland AG, Lecture Notes in Artificial Intelligence 11291 (ISBN 978-3-030-12543-1/978-3-030-12544-8), 17—28, 2019
Malchiodi, 2019a: Malchiodi DarioSome Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh, in R. Fullér, S. Giove and F. Masulli (Eds.), Fuzzy Logic and Applications — 12th International Workshop, WILF 2018 Genoa, Italy, September 6–7, 2018 — Revised Selected Papers, Cham: Springer Nature Switzerland AG, Lecture Notes in Artificial Intelligence 11291 (ISBN 978-3-030-12543-1/978-3-030-12544-8), 240—243, 2019
Malchiodi et al., 2018: Malchiodi Dario, da Costa Pereira Célia and Tettamanzi Andrea G.Predicting the Possibilistic Score of OWL Axioms through Support Vector Regression, in D. Ciucci, G. Pasi and B. Vantaggi (Eds.), Scalable Uncertainty Management. SUM 2018, Cham: Springer, Lecture Notes in Artificial Intelligence 11142 (ISBN 978-3-030-00460-6/978-3-030-00461-3), 2018
Cermenati et al., 2020: Cermenati Luca, Malchiodi Dario and Zanaboni Anna MariaSimultaneous Learning of Fuzzy Sets, in A. Esposito, M. Faundez-Zanuy, M. Morabito and E. Pasero (Eds.), Neural Approaches to Dynamics of Signal Exchanges, Vol. 151, Singapore: Springer, Smart Innovation, Systems and Technologies, 167-175, 2020
Boldi et al., 2018: Boldi Paolo, Frasca Marco and Malchiodi DarioEvaluating the impact of topological protein features on the negative examples selection, BMC Bioinformatics 19 - 14 (2018), 417.115–417.126
Malchiodi and Tettamanzi, 2018: Malchiodi Dario and Tettamanzi Andrea G.Predicting the Possibilistic Score of OWL Axioms through Modified Support Vector Clustering, in H. Haddad, R. L. Wainwright and R. Chbeir (Eds.), SAC'18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, ACM (ISBN 9781450351911), 1984–1991, 2018
Ludovico et al., 2017: Ludovico Luca A., Malchiodi Dario and Zecca LuisaA Multimodal LEGO®-based Learning Activity Mixing Musical Notation and Computer Programming, in MIE 2017 Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education, ACM (ISBN 978-1-4503-5557-5), 44–48, 2017
Frasca et al., 2019: Frasca Marco, Fontaine Jean F., Valentini Giorgio, Mesiti Marco, Notaro Marco, Malchiodi Dario and Andrade-Navarro MiguelDisease-Genes Must Guide Data Source Integration in the Gene Prioritization Process, in M. Bartoletti, A. Barla, A. Bracciali, G. W. Klau, L. Peterson, A. Policriti and R. Tagliaferri (Eds.), Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2017, Cham: Springer, Lecture Notes in Computer Science 10834 / Lecture Notes in Bioinformatics 10834 (ISBN 978-3-030-14159-2/978-3-030-14160-8), 60—69, 2019
Lonati et al., 2017a: Lonati Violetta, Malchiodi Dario, Monga Mattia and Morpurgo AnnaLearning Greedy Strategies at Secondary Schools: An Active Approach, in A. Sforza and C. Sterle (Eds.), Optimization and Decision Science: Methodologies and Applications, Springer, Proceedings in Mathematics & Statistics (ISBN 978-3319673973), 223–231, 2017
Lonati et al., 2017c: Lonati Violetta, Malchiodi Dario, Monga Mattia and Morpurgo AnnaNothing to fear but fear itself: introducing recursion in lower secondary schools, in International Conference on Learning and Teaching in Computing and Engineering (LATICE), 2017, IEEE (ISBN 9781538608920), 91–98, 2017
Frasca et al., 2017a: Frasca Marco, Lipreri Fabio and Malchiodi DarioAnalysis of Informative Features for Negative Selection in Protein Function Prediction, in I. Rojas and F. Ortuño (Eds.), Bioinformatics and Biomedical Engineering 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part II, Vol. 10209, 2017
Bellettini et al., 2015a: Bellettini Carlo, Lonati Violetta, Malchiodi Dario, Monga Mattia, Morpurgo Anna and Torelli MauroHow Challenging are Bebras Tasks? An IRT analysis based on the performance of Italian students, in ITiCSE '15 Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, New York: ACM (ISBN 9781450334402), 27-32, 2015
Frasca and Malchiodi, 2016: Frasca Marco and Malchiodi DarioSelection of Negative Examples for Node Label Prediction through Fuzzy Clustering Techniques, in S. Bassis, A. Esposito, F. C. Morabito and E. Pasero (Eds.), Advances in Neural Networks: Computational Intelligence for ICT, Springer International Publishing (ISBN 978-3-319-33747-0), 67-76, 2016
Bellettini et al., 2014: Bellettini Carlo, Lonati Violetta, Malchiodi Dario, Monga Mattia, Morpurgo Anna, Torelli Mauro and Zecca LuisaInformatics Education in Italian Secondary School, ACM Transactions on Computing Education (TOCE) – Special Issue on Computing Education in (K-12) Schools 14 - 2 (2014), 15.1–15.6
Malchiodi and Pedrycz, 2013: Malchiodi Dario and Pedrycz WitoldLearning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering, in F. Masulli, G. Pasi and R. Yager (Eds.), Fuzzy Logic and Applications. 10th International Workshop, WILF 2013, Genoa, Italy, November 19–22, 2013. Proceedings., Vol. 8256, Springer International Publishing, Switzerland, Lecture Notes on Artificial Intelligence (ISBN 978-3-319-03199-6), 52–59, 2013
Apolloni et al., 2013: Apolloni Bruno, Malchiodi Dario and Taylor John G.Learning by Gossip: A Principled Information Exchange Model in Social Networks, Cognitive Computation 5 - 3 (2013), 327-339

Organization of editorial and scientific activities

Conference organization

2017 > 2023: Member of the program committee of DSIR: International Conference on Data Science and Institutional Research
2011: Member of the organizing committee of INFOCULT 2011
2011: Member of the program committee of KES2011
2010: Member of the program committee of ECML PKDD 2010 (European Conference on Machine Learning / Principles and Practice of Knowledge Discovery in Databases)

Tutorials, workshops, panels and special sessions

2023: Chair of the EANN2023 session CLASSIFICATION / SECURITY / ETHOLOGY
2018: Speaker in the round table Zadeh and the Future of Fuzzy Logic, organized during WILF2018
2018: Chair of the IWBBIO2017 session Computational systems for modelling biological processes
2013: Speaker in the panel Computational Intelligence Methods for Big Data Analysis, organized during WILF2013
2007: Chair of the KES2007/WIRN2007 special session Learning from uncertain data

Membership to editorial boards of international journals

2008 >: International Journal of Computational Intelligence Studies
2010 > 2018: Mathematics and Computers in Simulation
2010 > 2014: Intelligent decision technologies

Reviews for journals, conferences, and projects

Journals

Applied Sciences – BMC Bioinformatics – Computers and Operations Research – Data Science and Engineering – Engineering Science and Technology, an International Journal – IEEE Access – IEEE Transactions on Fuzzy Systems – IEEE Transactions on Neural Networks – Information Sciences – Journal of Fuzzy Optimization and Decision Making – Mathematics and Computers in Simulation – Neural Computing and Applications – Neural Networks – Neurocomputing – RAIRO – Theoretical Informatics and Applications – Scientific Reports – Theoretical Computer Science

Conferences

CSTST: International Conference on Soft Computing as Transdisciplinary Science and Technology – DSIR: International Conference on Data Science and Institutional Research – FUN: International Conference on Fun with Algorithms – HIS: International Conference on Hybrid Intelligent Systems – ICANN/ICONIP: Joint 13th International Concerence on Artificial Neural Networks and 10th International Conference on Information Processing – ICTAI: IEEE International Conference on Tools with Artificial Intelligence – IJCNN: IEEE International Joint Conference on Neural Networks – IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems – ISSEP: International Conference on informatics in Schools. Situation, Evolution and Perspectives and Automation – IWBBIO: International Work-Conference on Bioinformatics and Biomedical Engineering and Automation – SOFSEM: International Conference on Current Trends in Theory and Practice on Computer Science – STACS2003: 20th International Symposium on Theoretical Aspects of Computer Science – The Web Conference – WCCI: IEEE World Congress on Computational Intelligence – WCICA: IEEE World Congress on Intelligent Control and Automation

Projects

2024: PhD program – Università degli Studi di Milano Bicocca (reviewer)
2022: PhD program – Università degli Studi di Palermo (reviewer)
2021: Research funding scheme A 2020/21 – University of Mauritius (reviewer)
2019: Research funding scheme B 2019/20 – University of Mauritius (reviewer)
2019: Bando straordinario per progetti interdipartimentali (SEED) – University of Milan (reviewer)
2014: SIR 2014 (Scientific Independence of young Researchers) – Italian Ministry for education, university and research (reviewer and rapporteur)

Teaching activities

Current activities

2020-21 > 2023-24: Algorithms for massive data (DSE), MSc in Data science and economics, Università degli Studi di Milano (20 hours, 3 credits) – in English
2019-20 > 2023-24: F94-156: Algorithms for massive datasets, MSc in Computer science, Università degli Studi di Milano (48 hours, 6 credits) – in English
2015-16 > 2023-24: F1X-97: Statistics and data analytics, BSc in Computer science, Università degli Studi di Milano (60 hours, 6 credits) – 48 hours up to 2016/17 (jointly with the degrees of Computer science for digital communication and of Computer science and music), 60 hours since 2017/18

Past activities

2023-24: R18-120: Deep learning in bioinformatics, PhD in Computer Science, Università degli Studi di Milano (4 hours) – in English
2023-24: R18-124: Efficacy and efficiency evaluation of machine learning models, PhD in Computer Science, Università degli Studi di Milano (10 hours) – in English
2012-13 > 2018-19: F94-80: Big scale analytics, MSc in Computer science, Università degli Studi di Milano (48 hours, 6 credits)
2018-19: M4103C: Data bases II, DUT in Statistics and business intelligence, Université de la Côte d'Azur (38 hours) – in French
2018-19: M4101: Data mining, DUT in Statistics and business intelligence, Université de la Côte d'Azur (18 hours) – in French
2017-18: R18-40: Analysis of multidimensional data, PhD in Computer Science, Università degli Studi di Milano (10 hours) – in English
2006-07 > 2016-17: F94-12: Simulation, MSc in Computer science, Università degli Studi di Milano (24 hours, 3 credits) – annual editions until 2008/09 and biennal editions since 2012/13
2015-16: B62-59: Big data and digital methods, Ma in Public and corporate communication, Università degli Studi di Milano (40 hours, 3 credits) – in English
2011-12 > 2015-16: F4Y-72: Computer programming 3, MSc in Mathematics, Università degli Studi di Milano (21 hours, 3 credits) – biennal editions
2010-11 > 2014-15: F3X-34: Operating systems, BSc in Computer science and music, Università degli Studi di Milano (48 hours, 6 credits) – from 2011/12 till 2013/14 jointly with the degree in Digital communication, in 2014/15 jointly with the degree in Computer science for digital communication
2011-12: F3X-36: Computer programming 1, BSc in Computer science and music, Università degli Studi di Milano (72 hours, 9 credits)
2010-11: F1Y-35: Software design, MSc in Computer science for communication, Università degli Studi di Milano (48 hours, 6 credits)
2003-04 > 2009-10: F2X-54: Laboratory of computer programming 1, BSc in Computer science and music, Università degli Studi di Milano (48 hours, 3 credits)
2006-07 > 2009-10: F88011: Computing systems 2, MSc in Mathematics, Università degli Studi di Milano (24 hours, 4 credits)

Academic appointments

2022: Coordinator of the selection committee for access of foreign students to the master in Computer science of the University of Milan.
2020 > 2021: Member of the selection committee for access of foreign students to the master in Computer science of the University of Milan.
2020: Member of the selection committee for access to the 2nd-level specialization course in Bioinformatics and functional genomics of the University of Milan.
2017 > 2018: Member of the steering committee of the specialization course in Data science for economics, business and finance of the University of Milan.
2013 > 2017: Coordinator of the commission for prospective students and vocational orientation of the Science and Technology division of the Milan University.
2012 > 2017: Deputy Director of the Computer science Department of the Milan University for activities related to cultural promotion and counseling for prospective students.
2010 > 2017: Coordinator of the committee for prospective students in computer science, Science Division, Milan University
2013 > 2015: Member of the committee of the Specialization in Mathematics, Physics and Computer science Teaching, Milan University.
2013 > 2014: Member of the workgroup for prospective students and vocational orientation of the Academic Senate of the Milan University.