• Ph.D. in Applied Mathematics, 2021-2024
  Université Côte d'Azur, Inria

• M.Sc. in Mathematical Engineering, 2019-2021
  Politecnico di Torino

• B.Sc. in Applied Mathematics, 2016-2019
  Politecnico di Torino

• Machine Learning research intern at Inria Maasai, Mar 2021-Sep 2021

• Machine Learning engineer intern at Alten, Sep 2020-Feb 2021

• Deputy Manager of IT Departement at at JEToP, Oct 2017-Apr 2018

• IT Consultant at JEToP, Oct 2016-Apr 2018

See more on LinkedIn

You can find my code on Github and my publications on Google Scholar.

• A Sea of Words: An In-Depth Analysis of Anchors for Text Data [preprint][code]

• Comparing Anchors and LIME for Text Data, 2-nd Workshop on Explainable and Ethical AI – ICPR 2022 [code]

• SMACE: A New Method for the Interpretability of Composite Decision System, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 [preprint][code]

During the PhD, I am also teaching some courses:

• Introduction to Statistics (MSc, 1st year, Mathematical Engineering, 16 hours)

• Fundamentals of mathematics (BSc, 1st year, 24 hours)

• June 2022: SMACE got accepted @ECML, my first conference paper!

• April 2022: I attended the Statlearn spring-school

• November 2021: I attended the AI & Companies Week

• November 19, 2021: talk at the SophIA Summit

• November 2021: new preprint available: we propose a new method for the explainability of composite AI systems

• October 1, 2021: I started my PhD