Hello, my name is
Lucas
Gnecco Heredia
And I'm a
Contact

About me

I am a math teacher in the International Bachelor of Science in AI, at PSL University.

I defended my Ph.D thesis in Computer Sicence at Université Paris Dauphine - PSL, which was supervised by Yann Chevaleyre and Benjamin Negrevergne from LAMSADE. My dissertation, titled Understanding the role of randomization in adversarially robust classification, explored the use of randomization to achieve robustness to adversarial attacks in machine learning models.

Publications

Teaching

2025 - 2026
Algebra 1, IBSAI-1, Paris School of AI - PSL
Linear algebra and applications.
Math in Practice, IBSAI-1, Paris School of AI - PSL
Introduction classes to familiarize students with mathematical logic and proof-writing.
2023 - 2024
Fundamentals of Machine Learning - L3, Université Paris Dauphine - PSL
TD / TP. Mathematical bases for machine learning. Linear algebra and estimation statistics.
2022 - 2023
Fundamentals du Machine Learning - L3, Université Paris Dauphine - PSL
TD / TP. Mathematical bases for machine learning. Linear algebra and estimation statistics.
Introduction to Machine Learning - M1 MIAGE App, Université Paris Dauphine - PSL
CM / TD. Introductory notions of machine learning. Classification algorithms, clustering and model evaluation.
2021 - 2022
Semi-Structured Data Bases - L3, Université Paris Dauphine - PSL
TP. XML, DOM, RDF and JSON. Practical exercises in Python Notebooks
Algorithmique et Programmation 2 - L1, Université Paris Dauphine - PSL
TD / TP. Basic notions of algorithms and coplexity. Sorting and data structures like binary trees and heaps
Outils en Informatique - L1 (MS Access, MS Excel), Université Paris Dauphine - PSL
TP. Practical exercises for first year students in MS Access and Excel.

Misc

Grade calculator
Metro Trivia Game - Single player
Random list generator

Contact me

Get in Touch

Name
Lucas Gnecco Heredia
Address
Paris, France
Email
lucas.gnecco-heredia[at]dauphine.psl.eu
Github
lucasgneccoh