Collaborator

ORCID: 0000-0002-9931-5621; SCOPUS Author ID: 57216673307;
Web of Science ResearcherID: GQA-5203-2022

Education: PhD in Neuroscience (ongoing) – University of Florence, 2023–today; Specialization in Psychiatry –
University of Florence, 2021–2025 (70/70 cum laude); Master's Degree in Medicine and Surgery – University of Pavia
(Harvey Course, in English Language), 2014–2020, 110/110

Specialization courses: Computational Psychiatry (ETH Zurich, 2024), Machine Learning for Neurological Diseases
(Mondino Foundation, 2018), Data Scientist with R (DataCamp, 2020).

Professional and academic experience: Department doctor – Child Neuropsychiatry, AOU Meyer IRCCS, Florence
(Jul–Dec 2024); Research Fellow – TU Dresden, neuroimaging analysis in Anorexia Nervosa (2023–2024); Cultor
of the subject (Psychiatry) – University of Florence, teaching modules in psychiatry and psychopathology (2023–present);
School doctor (USL Toscana Centro, 2020); Professor of Data Science & Machine Learning (treeopen, 2020);
Erasmus+ traineeship at the CNRS Toulouse (2018).

Scientific activity: Publications: 49 articles indexed in Scopus (H-index: 7, >180 citations): Editorial contributions:
chapters in volumes Springer (2023, 2025), monograph “The Connected Brain” (2023); Conferences: invited speaker in
national and international congresses (e.g. ESSM 2024, Florence Medical Association 2024).

Awards and recognitions: EUniWell Seed Funding (2024) – iHERA project (€25,000)

Skills: Languages: Italian (mother tongue), English (C2), Polish (A1); Digital skills: Programming in R, Python,
MATLAB, C; Machine Learning; fMRI analysis; Linux/LaTeX