Machine Learning lecture

Curriculum Vitae

This is my CV as machine learning research engineer, with a background in theoretical physics, specialised in machine learning and uncertainty quantification in AI.

13 July 1993

Torino, Italy

Italian

CEA Paris-Saclay
DES/ISAS/DM2S/SGLS/LIAD
Bât. 451 p. 61
F-91190 Gif sur Yvette CEDEX
France

machine learning, artificial intelligence, statistics, data science, theoretical physics

Research Engineer

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CEA Paris-Saclay
Laboratory of Artificial Intelligence and Data Science

Tasks data analysis and research on uncertainty quantification in machine learning and AI

Research Engineer

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CEA Paris-Saclay
Laboratory of Vision for Modelling and Visualisation

Tasks machine learning research engineer in hyperspectral imaging and computer vision

Postdoctoral Researcher

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CEA Paris-Saclay
Laboratory of Isotopic, Nuclear, and Elemental Analysis

Tasks research in signal detection and uncertainty quantification in LIBS imaging experiments

Scientific Associate Researcher

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INFN Sezione di Torino
Istituto Nazionale di Fisica Nucleare

Tasks research in theoretical physics (string theory) and AI for geometry

Teaching Assistant

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Università degli Studi di Torino
Facoltà di Fisica

Tasks tutoring and exercise sessions for student of the BSc in physics

Ph.D. Fellow in Physics and Astrophysics

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Università degli Studi di Torino
Facoltà di Fisica

Thesis D-branes and Deep Learning: Theoretical and Computational Aspects In String Theory

Advisor Prof. Igor Pesando (INFN Torino)

MSc in Theoretical Physics

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Università degli Studi di Torino
Facoltà di Fisica

Project Standard Model–like Scenarios in String Theory: Non Abelian D-brane Rotations and the Classical Bosonic String

BSc in Physics

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Università degli Studi di Torino
Facoltà di Fisica

Project Perturbative Analysis: Resurgent Transeries and Hyperasymptotics

Internship Supervision

Projects
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  • High Precision Machine Learning
  • Bayesian Optimisation Additive Manufacturing
  • Machine Learning for LIBS Data Analysis
  • Metamodelling Critical Heat Flux through AI
  • Graph Neural Network for Antispoofing Detection

Teaching Assistant

Projects
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  • Waves, fluids and thermodynamics (tutoring sessions)
  • Physics 1 (tutoring sessions)

Teaching Staff

Projects
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  • Introduction to High Energy Physics (project for high school students)

COMETA COST Action (EU funding)

Role
  • Representative of France in the Management Committee
  • Co-leader of WG2 on technological advancements in data analysis

grant for teaching activities at UniTO

Ph.D. representative at Department Council

Ph.D. representative at Department Council

Ph.D. scholarship (UniTO)

Python, C++, R

ROOT, Matlab/Octave, Wolfram

PHP, JS, JQuery, Java

bash, HTML, Markdown, RST

Arch Linux, Ubuntu, Fedora, Debian, Windows

bash, zsh, powershell

PyTorch, PyTorch Geometric, Lightning, JAX, Tensorflow, Keras, Hugging Face

Scipy/Numpy, Pandas, Scikit-learn, Statsmodels, XGBoost, LightGBM, CatBoost, Tigramite, Antropy, GiottoTDA, Caret, Tidyr, Leaflet

Matplotlib, GGPlot, Plotly, Bokeh, Open3d, Tensorboard

VSCode, VIM, Jupyter (Lab and notebooks), RStudio

Git (GitLab, GitHub, Tuleap)

Docker, Docker Swarm, Podman

ECDL Core Full (04/2012)

native speaker

proficient (C2)

proficient (C1)

I am passionate about latest advancements in AI and machine learning, and I am kind of a computer geek. I love music: I played the violin (I keep saying that I still do) for a long time and I hold a degree in Musical Theory and Melodic Dictation (Solfeggio e Teoria Musicale) and Complementary Piano Studies (Pianoforte complementare). Basketball is an old passion of mine: I played for a longtime in youth, and I was both referee and coach for some time. I am a blood donor since several years, both in Italy and in France.