About me
I am a PhD Candidate 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. I’m currently a visiting student researcher at Stanford Artifical Intelligence Lab, in the Stanford Trustworthy AI Research group (STAIR) led by Prof. Sanmi Koyejo.
Research Interests
Thrustworthy AI, LLMs/VLMs Safety, Adversarial Robustness, Robust Finetuning, Alignment, Uncertainty Estimation, Robustness to Distribution Shifts, Test-Time Scaling/Adaptation, Active Learning, etc.
Highlights/News
Excited to join Stanford University this Fall 2025 as a Visiting Student Researcher at the STAIR Lab led by Prof. Sanmi Koyejo!
- Two papers accepted at the Reliable ML workshop at NeurIPS 2025:
Attending DLRL 2025, the Deep Learning & Reinforcement Learning Summer School in Edmonton!
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.