Previous positions
2/11/2023-1/31/2025 Assegnosta di Ricerca - PNRR RAISE Liguria - DIMA - UniGe
Supervisor: Michele Piana
Education
11/01/2020 - 10/31/2023 PhD candidate in Mathematics and Applications - UniGe
Thesis: A study on modeling and optimization of bionedical ultrasound imaging. Defence date: 05/03/2024. Supervisors: Prof. Federico Benvenuto, Marco Crocco Ph.D.
03/01/2018 - 05/27/2020 Master's Degree in Applied Mathematics - UniGe
Thesis: ll problema inverso dell'imaging biomedicale a ultrasuoni: dalla teoria alla simulazione numerica. Supervisors: Prof. Federico Benvenuto, Marco Crocco Ph.D.
09/15/2014 - 03/15/2018 Bachelor Degree in Applied Mathematics - UniGe
Thesis: Branching Process discreto: estinzione e mutazione di una popolazione di cellule. Supervisor: Prof. Veronica Umanità
Specialization courses
06/19-25/2022 14th IEEE EMBS-SPS International Summer School on Biomedical Imaging - IMT Atlantique Bretagne-Pays de la Loire
Recent advances in acquisition and reconstruction for accelerated MRI
Machine Learning for Medical Images
Assessing Cellular Morphology and Tissue Architecture
Inverse Problem in Fluorescent Microscopy and Super-Resolution
06/29/2021 - 07/02/2021 Deep Learning: a hands-on introduction 2021 - virtually hosted at MALGA center - UniGe
02/15-19/2021 TraDE-OPT Winter School on Convex Optimization - virtually hosted at TU Braunschweig
02/24/2020 - 05/21/2020 Certificazione dell’acquisizione dei 24 cfu per l’insegnamento nella scuola secondaria (D.M. 616/2017) - UniGe
Pedagogia, pedagogia speciale e didattica dell’inclusione (6 cfu di cui M-PED/01 3 cfu, M-PED/03 3 cfu) per Ambito Disciplinare A
Psicologia (6 cfu di cui M-PSI/06 1 cfu, M-PSI/05 2 cfu, M-PSI/01 1 cfu, M-PSI/04 2 cfu) per Ambito Disciplinare B
Antropologia (6 cfu di cui M-FIL/03 3 cfu, M-DEA/01 3 cfu) per Ambito Disciplinare C
Metodi e tecnologie didattiche (6 cfu di cui M-PED/03 1 cfu, M-PED/04 5 cfu) per Ambito Disciplinare D
Experience
10/01/2019 - 11/31/2019 Intern at Esaote S.p.A. (Genova)
Testing denoising algorithms for speckle noise pattern in ultrasound medical images.
Computer Skills
OS: Microsoft Windows, MacOS, Linux
Programming: Python, Matlab, C++, R, SAS, SQL, LaTeX
Experience: Office, PostgreSQL, PyTorch, Tensorflow
Language skills
Italian (Mothertongue)
English (Professional Level)
Complete CV (last update 03/02/2025)