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About us

Machine Learning Genoa Center

MaLGa is a joint research center between computer science and mathematics. Its activities span a wide range of diverse but connected topics, including Computer Vision, Computational Harmonic Analysis, Data Science, Statistical Learning and Optimization.

MaLGa’s approach to research is highly interdisciplinary. We strive to develop mathematically sound yet practical solutions to be deployed in real life problems. Indeed, beyond pure research, knowledge transfer towards technological and industrial applications is a main objective of the center. Part of our mission are educational activities in machine learning and related topics, including scholarly-oriented teaching and professional training.

Research

From theory to practice: a multidisciplinary effort

MaLGa is primarily a center for fundamental research. A main feature of the research activity at MaLGa is the idea that a fruitful interplay between theoretical and applied questions is the key for long-lasting and impactful contributions. More broadly, this has always been the founding feature of ML studies at the University of Genoa. Our present and past research has always been equally split between foundational work in ML theory, and applied projects, working closely with partners such as hospitals or industries to develop vertical solutions.

Education

The spectrum of competences, which range from very abstract to concretely applied, is the feature that identifies MaLGa as a bridge between Academia and Industry, and thus shapes its many educational activities as a combination of scholarly-oriented teaching and professional training.
MaLGa offers schools and courses on several machine learning-related topics, both at postgraduate level and for professional training. Also, MaLGa members teach graduate and undergraduate courses for the Computer Science, Mathematics, Engineering and Design degrees, among others.

People

Meet the group

The center counts 15 faculty members and over 40 between Postdocs, PhD students and research fellows, providing a lively and dynamic work environment.

  • Giovanni S.
    Alberti

  • Filippo
    De Mari

  • Ernesto
    De Vito

  • Francesca
    Odone

  • Lorenzo
    Rosasco

  • Agnese
    Seminara

  • Alessandro
    Verri

  • Annalisa
    Barla

  • Simone
    Di Marino

  • Nicoletta
    Noceti

  • Silvia
    Villa

  • Matteo
    Santacesaria

  • Cesare
    Molinari

  • Matteo
    Moro

  • Vito Paolo
    Pastore

  • Paolo Didier
    Alfano

  • Francesco
    Boccardo

  • Joachim
    Bona-Pellis…

  • Andrea
    Della Vec…

  • Dennis
    Elbrächter

  • Federico
    Figari Tomen…

  • Anupam
    Gumber

  • Markus
    Holzleitner

  • Shuo
    Huang

  • Martin
    James

  • Hippolyte
    Labarrière

  • Marco
    Letizia

  • Emanuele
    Naldi

  • Romain
    Petit

  • Yujia
    Qi

  • Yara
    Abdelmott…

  • Paolo
    Angella

  • Gabriele
    Bortolai

  • Edoardo
    Caldarelli

  • Massimiliano
    Ciranni

  • Khan
    Dadan

  • Jacopo
    Dapueto

  • Roberto
    Di Via

  • Alessandro
    Felisi

  • Işıl
    Guleken

  • Anna
    Khristodulo

  • Emilia
    Magnani

  • Francesco
    Marcolli

  • Giovanni
    Minuto

  • Francesco
    Montagna

  • Manasa
    Pawar

  • Elena
    Rizzo

  • Simone
    Sanna

  • Ilaria
    Stanzani

  • Shiwei
    Sun

  • Larbi
    Touijer

  • Cheik
    Traoré

  • Arnaud
    Watusadisi

  • Xiaolin
    Xing

  • Pietro
    Zerbetto

  • Ani
    Gjergji

  • Matteo
    Interlando

  • Elena
    Milano

  • Stefano
    Ravera

  • Arnaud
    Ruymaekers

  • Alexander
    Statsenko

  • Rayan
    Autones

  • Edgar
    Desainte-Marév…

  • Giulia
    Casu

Open positions

Join us

We are always looking for talented, motivated researchers. If you are interested in working with us, check our open positions to apply to a specific opening, or send a spontaneous application by filling in the form.

All the research activities will be carried out at the University of Genova within a Machine Learning center across the Mathematics and Computer Science departments.

Contacts