I am a Senior Researcher and Team lead at
CENTAI Institute (CENTer for Artificial Intelligence, Turin, Italy). Previously, I was appointed as an Associate Professor (Maître de Conférences - tenured/permanent position) at the University of Lille (France), while I was a member of the Machine Learning in Information Networks team at INRIA Lille - Nord Europe.

Passionate about advancing machine learning, I am skilled in optimization, neural networks, clustering, and recommender systems. My research focuses on designing innovative decision-making algorithms and scalable methods to extract insights from large-scale networks, bridging theoretical rigor with real-world applications across academia and industry.

As AI/ML Team Lead at CENTAI, I steer a dynamic research team in pioneering machine learning innovations, with a focus on Fintech. We combine research and practical solutions in cutting-edge collaborations to build better intelligent systems.



In addition to my current professional activity in industrial research at CENTAI, I have also garnered industrial experience working at Bloomberg LP in Switzerland.



I received an MSc degree (Summa cum Laude) in Computer Science from the University of Insubria and a PhD in Machine Learning / Computer Science from the Milan University, working under the supervision of Prof. Nicolò Cesa-Bianchi and Prof. Claudio Gentile.




Recent professional activities

  • Lead guest editor of the machine learning journal track

          European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2023.



    Publications




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    Industrial experience





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    Selected invited talks


    • Eurandom (Eindhoven, Netherland), 2024. Title: Fast and Effective GNN Training through Sequences of Random Path Graphs.

    • NNAISENSE (Lugano, Switzerland), 2021. Title: Fast Clustering through Pairwise Similarity Information.

    • BrainTree (London, UK); ISI Foundation (Turin, Italy), 2020. Title: Compressing graph information for binary node classification.

    • BrainTree (London, UK); INRIA Lille Nord Europe (Lille, France); Workshop FouLarD 2018 (Bertinoro, Italy), 2018. Title: Online Reciprocal Recommendation with Theoretical Performance Guarantees.

    • Copenhagen University (Denmark), 2013. Title: Machine Learning on Trees and Graphs.

    • Lille University & INRIA Lille - Nord Europe (France), 2013. Title: Fast Prediction Algorithms for Networked Data.

    • Microsoft Research, (Redmond, USA), 2012. Title: Fast Learning on Graphs.




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    Miscellaneous


      Research projects / Research group membership

    • Project funded by ANR
      (Agence Nationale de la Recherche).
      Project title: (PAMELA) - Personalized and decentrAlized MachinE Learning under constrAints (https://project.inria.fr/pamela/).
      Duration: 2016-2020.
      Partners (https://project.inria.fr/pamela/members/#asap): Inria Lille - Team Magnet, IRISA Rennes 1 University - Team ASAP, IRISA Rennes 1 University - Team Cidre, LIP6 - University of Paris 6 - Team MLIA.
      Industrial partners: Snips, Mediego.

    • Inria North-European Labs
      (International partnership).
      Project title: (RSS) - Rankings and Similarities in Signed graphs (https://raweb.inria.fr/rapportsactivite/RA2015/magnet/uid59.html).
      Duration: late 2015 to late 2017.
      Partners: Prof. Aristides Gionis (Data Mining Group, Aalto University, Finland) and Prof. Mark Herbster (Centre for Computational Statistics and Machine Learning, University College London, UK).

    • SCAGLIA
      (Scalable Graph Algorithms for Learning in Networked Data
      JCJC "Jeunes Chercheuses et Jeunes Chercheurs" INS2I 2015
      PI: Fabio Vitale).

      CRISTAL
      Centre de Recherche en Informatique, Signal et Automatique de Lille.

    • MAGNET team
      (Machine Learning in information NETworks).

    • PASCAL 2 Network of Excellence
      (Pattern Analysis, Statistical Modelling and Computational Learning)
      EU, Seventh Programme Framework.

    • Data-dependent geometries and structures
      ("pump-priming project" within Pascal2).

    • Google-sponsored project SPAN
      (Scalable Prediction Algorithms for Networked Data - Google Research Award, January 2010).

    • PASCAL Network of Excellence
      (Pattern Analysis, Statistical Modelling and Computational Learning)
      EU, Sixth Programme Framework.





      Visits to universities and research institutes

    • May 2019: Google Research, New York (USA - Collaboration with Prof. Claudio Gentile).

    • September 2018: University College London, Department of Computer Science (United Kingdom - Collaboration with Dr. Stephen Pasteris).

    • April 2018: INRIA Lille Nord Europe (France - Member of the PhD committee of Géraud Le Falher).

    • November 2017: University of Milan, Department of Computer Science (Italy - collaboration with Prof. Nicolò Cesa-Bianchi).

    • March 2016; April 2016, May 2016: University of Milan, Department of Computer Science (Italy - collaboration with Prof. Nicolò Cesa-Bianchi and Prof. Claudio Gentile).

    • July 2015; August 2015: Helsinki Aalto University, Department of Computer Science (Finland - collaboration with Prof. Aristides Gionis).

    • May 2014: University of Milan, Department of Computer Science (Italy - collaboration with Prof. Nicolò Cesa- Bianchi and Prof. Claudio Gentile).

    • November 2013: University of Milan, Department of Computer Science (Italy - collaboration with Prof. Nicolò Cesa-Bianchi and Prof. Claudio Gentile);
      University College London, Department of Computer Science (United Kingdom - collaboration with Prof. Mark Herbster);
      University of Copenhagen, Department of Computer Science (Denmark - collaboration with Prof. Jyrki Katajainen));

    • July 2013: Lille University & INRIA Lille - Nord Europe (France).

    • August 2012: Microsoft Research, (Redmond, USA).

    • November 2010; September 2011; November 2011; February 2012, May 2012: University College London, Department of Computer Science (United Kingdom - collaboration with Prof. Mark Herbster).

    • November 2008: University of Bonn, Department of Computer Science (Germany).




      Teaching and tutoring (until 2016)

    • Introduction to Algorithms
      University of Lille (Undergraduate level course - Academic Year 2015-2016, Fall semester).

    • Graph Algorithms
      University of Lille (Undergraduate level course - Academic Year 2015-2016, Spring semester).

    • Information Coding
      University of Lille (Undergraduate level course - Academic Year 2014-2015, Spring semester).

    • Unsupervised Classification
      University of Lille (Graduate level course - Academic Year 2014-2015, Spring semester).

    • Unsupervised Classification
      University of Lille (Undergraduate level course - Academic Year 2014-2015, Spring semester).

    • Graph Algorithms
      University of Lille (Undergraduate level course - Academic Year 2014-2015, Fall semester).

    • Unsupervised Classification
      University of Lille (Graduate level course - Academic Year 2013-2014, Spring semester).

    • Artificial Intelligence
      University of Lille (Undergraduate level course - Academic Year 2013-2014, Spring semester).

    • Information Technology and Internet Certificate ("Certificat informatique et Internet")
      University of Lille (Undergraduate level course - Academic Year 2013-2014, Spring semester).

    • Information and Communication Technology for Education ("Technologies de l'Information et de la Communication pour l'Enseignement")
      University of Lille (Undergraduate level course - Academic Year 2013- 2014, Spring semester).

    • Statistical Methods for Machine Learning
      University of Milan (Graduate level course - Academic Year 2009-2010 Spring semester)

    • Java Programming Laboratory
      University of Milan (Undergraduate level course - Academic Year 2009-2010 Fall semester)

    • Java Programming Laboratory
      University of Milan (Undergraduate level course - Academic Year 2008-2009 Fall semester)





  • Fabio Vitale

      CENTAI Institute

      CENTer for Artificial Intelligence

      Corso Inghilterra 3
      10138 Turin
      Italy






      Previous appointments



      INRIA Lille - Nord Europe

      French Institute for Research in Computer Science and Control

      59650 Villeneuve d'Ascq
      France


      University of Lille

      59653 Villeneuve d'Ascq CEDEX
      France




      MAGNET team

      Machine Learning in information NETworks


      CRISTAL

      Centre de Recherche en Informatique, Signal et Automatique de Lille




      Email:

      fabio.${lastname}@centai.eu

      fabio.${lastname}2@univ-lille.fr

      fabio.${lastname}@inria.fr