I hold a PhD in Computer Science from Sorbonne Université. I conducted my doctoral research at Institut Curie in Paris under the supervision of Dr. Hervé Isambert.
During my PhD, my research focused on machine learning, particularly causal discovery.
I am interested in developing and applying AI methods to challenging scientific and industrial problems.
PhD in Computer Science
Sorbonne Université
M.Sc. in Bioinformatics & Modelling
Sorbonne Université
My work in causal discovery focused on developing a new search-and-score method for learning causal structures in the presence of latent variables. The method handles nonlinear and non-Gaussian relationships while remaining computationally efficient, and led to a first-author publication at ICML 2025.
Alongside this work, I contributed to collaborative projects that led to publications in npj Digital Medicine and eLife.
My current research interests extend more broadly to deep learning, multimodal learning, foundation models, and uncertainty-aware learning.

Presentation of my thesis work at the retreat for young researchers from Institut Curie, Centre des Cordeliers, and Institute of Biotechnology of the Czech Academy of Sciences in Prague, Czech Republic
Sep 22, 2024
Presentation of my thesis project and preliminary results to the AI-DSCY team
Sep 27, 2023
I successfully defended my PhD thesis 🎓 after three years of research at Institut Curie and eight years at Sorbonne Université.
I am grateful to my PhD advisor,
Dr. Hervé Isambert,
for his guidance and support throughout this journey.
I attended the PRAIRIE/MIAI Artificial Intelligence Summer School (P.A.I.S.S.) in Grenoble 🇫🇷, with lectures and discussions on recent advances in artificial intelligence and machine learning.
I attended the Eastern European Machine Learning Summer School (EEML 2025) in Sarajevo 🇧🇦, bringing together students and researchers from across the international machine learning community.