About me
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
Adversarial Robustness, Uncertainty Estimation, Robustness to Distribution Shifts, Test Time Adaptation, Active Learning.
Highlights/News
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: (link)