Curriculum vitae

Full Name Giancarlo Croce
Languages Italian (native), English (fluent), French (fluent)
Orcid 0000-0003-0944-1884

Research Interests

  • My research sits at the interface of biology, artificial intelligence, and statistical modelling to tackle fundamental questions in immunology. I develop data-driven approaches to predict T- and B-cell receptor–antigen interactions. Previously, I developed computational tools to model protein evolution and protein–protein interactions.

Professional Experience

  • Sep 2025 - Current
    Machine Learning Scientist
    IMPRINT - Focused Research Organization (FRO)
    Non-profit startup to decode the immune system
  • Jan 2020 - Jun 2025
    Postdoctoral Fellow
    University of Lausanne - Ludwig center for cancer research, Lausanne, Switzerland
    Marie Skłodowska-Curie Individual Fellowship (MT-PoINT project)
    Cancer Immune Recognition Lab - David Gfeller Lab
    Machine learning and deep learning models to predict T cell-epitope interactions
    Analysis of cancer genomes and of T cell repertoire sequence data

Education

  • Oct 2016 - Oct 2019
    PhD, Computational Biology
    Sorbonne University, Paris, France
    Computational and Quantitative Biology Lab
    Thesis: Towards a genome-scale coevolutionary analysis
    Supervisor: Martin Weigt. Co-supervisor: Olivier Tenaillon
  • Sep 2014 - Jun 2016
    MSc in Theoretical and Statistical Physics
    École Normale Supérieure, Paris, France
    Master thesis: Out of equilibrium dynamics of spin glass models
    Supervisor: Cristina Toninelli
  • Sep 2011 - Jul 2014
    BSc in Physics
    University of Pavia, Pavia, Italy
    Thesis: Symmetries in quantum mechanics, Casimir Operators
    Supervisor: Prof. Claudio Dappiaggi

Grants and Awards

  • Jun 2025
    Remarkable Output distinction
    Swiss Bioinformatics Society
  • Jun 2024
    73rd Lindau Nobel Laureate Meeting
    Selected to participate, engaging with Nobel Laureates and leading scientists
  • Jul 2021 - Jul 2023
    Marie Skłodowska-Curie Individual Fellowship 2020
    MT-PoINT (Motif in T cells for the Prediction of INTeractions) project at the interface between data science and immunology
  • Jan 2019 - Mar 2019
    Visiting researcher
    University of L'Havana (Cuba), funded by the INFERNET project
  • Oct 2016 - Nov 2019
    Ph.D. supporting grant
    Labex Calsimlab - Data, computing and simulation
  • Sep 2014 - Jun 2016
    Two-year master's scholarship for international students
    École Normale Supérieure, Paris
  • Sep 2011 - Sep 2014
    Student at Collegio Ghislieri
    A 450-year-old Italian institution providing housing and financial support to students enrolled at the University of Pavia

Teaching Experience

  • Courses
    Fall 2024 - Write a review - course for master students
    Sep-Nov 2022/2023/2024 - Introduction to clinical bioinformatics - for undergraduate students
    Dec 2021 - Introduction to Cancer Genomics - for PhD students
  • Student Supervision
    Master's thesis: Jikaël Ntoko, Daniel Hafez, Richie Yat-Tasi Wan
    Master's and Bachelor's Projects: Alice Chiozza, Cailyn Mae Ong, Yebeen Kim, Animesh Awasthi

Recent Conferences and Talks

  • Nov 2025
    Biohub Affiliate Symposium - Chan Zuckerberg Initiative
    New York, USA
  • Sep 2025
    Basel Computational Biology Conference — Bioinformatics meets AI
    Basel, Switzerland. Awarded the SIB Remarkable Output distinction
  • May 2025
    The Fourth Antwerp TCR Meeting
    Antwerp, Belgium
  • Jan 2025
    Collaborative Research Center 1310 - Predictability in Evolution
    University of Cologne, Germany
  • Oct 2024
    Talk at the department of computational biology
    University of Lausanne, Switzerland

Reviewing Activities

  • Reviewer for: Nature Communications, Bioinformatics, Cell Systems, Cell Genomics, Immunoinformatics, Plos Computational Biology, Plos ONE