Hi !
I am Alya Zouzou, a recent graduate with a Master’s in Mathematics & Computer Science from the Université Paul Valéry Montpellier III, supervised by Dr. Mélanie Ducoffe. My work focused on Trustworthy AI for Autonomous Systems, with projects in pose estimation, object detection, and conformal prediction.
I previously interned at Airbus AI Research in Toulouse, in collaboration with ANITI (Artificial and Natural Intelligence Toulouse Institute). During this experience, I worked on computer vision, uncertainty quantification, and data engineering tasks, bridging AI theory and real-world deployment. I also interned at PwC in the Data & Analytics division.
My interests revolve around vision-language models, computer vision, and fairness / robustness in AI systems, with particular interest in pose estimation, active learning, and causal reasoning for autonomous and medical applications.
I am currently seeking AI roles (ML Engineer, Data Scientist, AI Engineer etc.), where I can advance reliable, transparent, and efficient perception systems.
News
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September 2025
Released early access on the Dataset LARD V2.0presented at DASC 2025.
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September 2025
Presented my COPA paper at COPA London.
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August 2025
Graduated with a Master’s in Mathematics & Computer Science from Université Paul Valéry Montpellier III.
[Master Thesis] [slides]
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July 2025
Presented my COPA work at ANITI Toulouse.
[slides]
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May 2025
Paper accepted at COPA 2025: Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP.
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September 2024
Began final research internship at Airbus AI Research, supervised by Dr. MĂ©lanie Ducoffe.
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July 2024
Presented my PFIA 2024 paper INM-Explain – Explaining Medical Controversies: Application to the Case of Non-Drug Interventions.
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May 2024
Paper accepted at PFIA 2024.
[paper] [project page] [code]
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September 2023
Started my Master’s in Mathematics & Computer Science and apprenticeship at Airbus Aircraft.
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April–August 2023
Intern at PwC — Data & Analytics division.