Martin Van Waerebeke

PhD Candidate in Machine (Un)Learning

I am a PhD candidate specializing in Machine Unlearning, working in the ARGO team at INRIA Paris. I am especially interested in the theoretical possibilities and limitations of machine unlearning. I am supervised by Kevin Scaman, and co-supervised by Marco Lorenzi and Giovanni Neglia.

Selected Publications

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Recent Talks

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Popularising Science

Apprendre à oublier : le nouveau défi de l'intelligence artificielle

The Conversation, Sep 2024

A broad-public introduction to machine unlearning and its key concepts, co-authored with Marco Lorenzi.

Quand les algorithmes doivent désapprendre

Sciences et Avenir, Feb 2025

An introduction to machine unlearning and its key role in the context of data privacy and AI ethics where I was interviewed by Arnaud Devillard.

Teaching

Deep Learning (22h, Lectures + Exercise sessions)

ENS Paris

M1 Computer Science, 2025-present

Fundamentals of Probability and Statistics for Machine Learning (3x25h, Lectures + Exercise sessions)

Datascience Tech Institute

Executive Masters, 2023-present

Mentor (50h/semester)

Entraide Scolaire Amicale

Voluntary work, 2024-present

Mathematics Oral Examiner (Colleur)

Fénelon Sainte-Marie

Undergraduate level, 2020-2021

Get in Touch

I'm always interested in discussing research opportunities, collaborations, or answering questions about my work in Machine Unlearning.

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