I am a PhD student at Mila-Quebec AI Institute and Université Laval (IID/LSVN lab). I work in the area of Adversarial Machine Learning under the supervision of Prof. Christian Gagné (Mila & Université Laval) and co-supervised by Prof. Frédéric Precioso (INRIA & Université Côte d’Azur), in close collaboration with Yann Pequignot. I was previously a Google AI resident at the Accra Lab where I was mentored by Yann Dauphin.

Research Interests

LLMs/VLMs Safety, Adversarial Robustness, Alignment, Control, Uncertainty Estimation, Robustness to Distribution Shifts, Test Time Adaptation, Active Learning, etc.

Highlights/News

• Panelist for the 8th Annual Black in AI Workshop at NeurIPS around the theme “AI Regulation & Fairness in the Generative AI Era.”

• Neptune.ai Neurips 2024 Paper Communication Challenge (Winner): Video Link

• Won a best poster award at the “1ère Journée scientifique de l’IID”!

• Our paper on “Margin Consistency” is accepted at Neurips 2024! (Twitter thread)

• Appeared in AIMS Alumni of the Week. Read more about it here: (link)

• In the Acknowledgments of the book “Mathematics for Machine Learning” by Prof. Marc Deisenroth, published in 2020. Check out the book website: (link)

• AMMI Pioneers video and article in the magazine Jeune Afrique about the launch of the Machine Intelligence Master’s program (AMMI 2018) in Rwanda.