Universita di Genova
machine learning - complexity - hybrid human-AI

Annalisa Barla

Associate Professor in Computer Science @ MaLGa | LCSL
Università di Genova

Annalisa Barla

Education

Education

2005

PhD in Computer Science

Università di Genova - Genova, Italy

A general framework for Image Kernel Engineering

machine learning - SVM - kernel methods - kernel engineering - image understanding

2001

Master's degree in Physics

Università di Genova - Genova, Italy

Rappresentazione dati nella teoria statistica dellapprendimento (Data representation in statistical learning theory)

machine learning - SVM - kernel methods - kernel engineering - image understanding

Language skills

Italian - Native or bilingual


English - Expert or full professional


French - Elementary or limited professional


Institutional roles

  • 2018 - 2021

    Data Protection Officer in GDPR and data

    Università di Genova - Genova, Italy

Academic and research experience

  • 2017 - Ongoing

    Associate Professor in Computer Science

    Università di Genova - Genova, Italy

  • 2012 - 2017

    Assistant Professor in Computer Science

    Università di Genova - Genova, Italy

  • 2008 - 2011

    Research Fellow (assegnista di ricerca) in Regularization methods for molecular data analysis

    Università di Genova - Genova, Italy

  • 2006 - 2007

    Research Fellow in Machine learning for molecular data analysis

    ITC-IRST (now Fondazione Bruno Kessler) - Trento, Italy

  • 2005

    Internship in Medical Image analysis

    Siemens Corporate Research - Princeton, NJ, USA

Work experience

  • 2017 - Ongoing

    Expert project reviewer for EU grants


    Research Executive Agency EU H2020-MSCA-ITN-2017 (H2020 Marie
    Sklodowska-Curie
    Actions) EU H2020 Pathfinder

  • Ongoing

    Scientific advisor

  • 2025 - 2028

    Ethics advisor for EU project

Activities in higher education

PhD board membership

  • 2025 - Ongoing

    Member of the PhD board for the Computer Science and Systems Engineering degree in PhD board member

    Università di Genova - Genova, Italy


  • 2019 - 2024

    Member of the PhD board for the Medicina Translazionale in Oncologia ed Ematologia degree in PhD board member

    Università di Genova - Genova, Italy


  • 2017 - 2018

    Member of the PhD board for the Computer Science and Systems Engineering degree in PhD board member

    Università di Genova - Genova, Italy


  • 2013 - 2016

    Member of the PhD board for the Medicina Translazionale in Oncologia ed Ematologia degree in PhD board member

    Università di Genova - Genova, Italy


    • Mentorship

    • Ilaria Stanzani - PhD student

      AI for Science of Science


    • Marco Monteverde - PhD student

      AI and Data Viz for complexity


    • Ilaria Stanzani - Research fellow


    • Rosanna Turrisi - Post-doc

      Machine learning for neuroscience


    • Alexandra Gronholz - Post-doc

      Machine learning for life sciences


    • Rosanna Turrisi - Post-doc

      AI in medicine


    • Margherita Squillario - PhD student

      Machine learning for bioinformatics


    • Samuele Fiorini - PhD student

      Biomedical machine learning


    • Chiara Martini - PhD student

      Machine learning for bioengineering


    • Federico Tomasi - PhD student

      Graphical methods for complex data


    • Vanessa D'Amario - PhD student

      Machine learning for neuroscience


    • Veronica Tozzo - PhD student

      Graphical methods for complex data


    • Davide Garbarino - PhD student

      Geometric deep learning and graphs for complex data


Editorial activities

  • 2012 - Ongoing

    Program committee member

    SCIPY 2017 Scientific Computing with Python, AISTATS 2017 The
    20th International Conference on Artificial Intelligence and Statistics,
    ICHI 2014 IEEE International Conference on Healthcare Informatics
    2014 (ICHI 2014) – Verona, Italy, IJCAI-13 23rd International Joint
    Conference on Artificial Intelligence Beijing, China, IDAMAP 2012 -
    Intelligent Data Analysis in bioMedicine and Pharmacology Pavia,
    Italy


    Reviewing activity as a PC member

  • 2015 - Ongoing

    Reviewer

    AISTATS 2018 (20th International Conference on Artificial Intelligence,
    NIPS 2017 (Neural Information Processing Systems), CIBB 2017
    (Computational Intelligence methods for
    Bioinformatics and Biostatistics), AAAI-17 (Thirty-First AAAI
    Conference on Artificial Intelligence), AISTATS 2017 (20th International
    Conference on Artificial Intelligence and Statistics), NIPS 2016
    (Neural Information Processing Systems), ESANN 2014 (European
    Symposium on Artificial Neural
    Networks), SciPy 2017 (Scientific Computing with Python)


    Reviewing activity for conferences

  • 2011 - Ongoing

    Reviewer

    Bioinformatics, Plos One, BMC Genomics, Briefings in Bioinformatics,
    Pattern Recognition, Machine Learning, Neural Computation, Pattern
    Recognition, Neural Computation,
    Neurobiology of Aging, ‘Bringing Maths to Life’ (Springer Ed.), Inverse
    Problems in Science and Engineering, Statistical Applications in
    Genetics and Molecular Biology


    Reviewing activity for journal

  • 2019 - 2022

    Scientific advisory board member

    EU H2020 Personalised Medicine Trials (PERMIT)

    personalized medicine - machine learning


    Member of the SAB for the EU H2020 PERMIT project

Skills

Expertise

  • Artificial intelligence

    Expert knowledge of machine and deep learning methods, from design and conceptualization of original methods to the implementation and experimental setup

  • Scientific writing and dissemination

    Skills and tools for scientific writing

  • Programming

    Working knowlegde of Python, R, C++

  • Programming for web applications

    Woring knowledge of HTML, CSS, PHP and related frameworks. Experience in CMS cusomization (Wordpress, Joomla, Drupal)