PhD student in Machine Learning for Genomics
I am a PhD student jointly supervised by
Laura Cantini at
Institut Pasteur
and Luca Pinello at
Harvard/MGH. My research focuses on the development
of new machine learning methods to better understand high-dimensional genomics data measured across time.
In particular, I leverage Optimal Transport techniques to link gene regulation and cellular dynamics.
I graduated from Master MVA (Mathematics, Vision and Learning) at
ENS Paris-Saclay in 2024, and from the engineering
curriculum of ENSC Bordeaux INP in 2023. I also have
research experience in statistics and machine learning
through internships at Inria Bordeaux,
Inria Paris, and
Ubisoft La Forge.
I am particularly interested in the intersection of machine learning, mathematics and biology.
If you would like to chat, feel free to reach out!
PhD in Machine Learning and Computational Biology
MSc. in Mathematics, Vision and Machine Learning (Master MVA)
BSc. in Computer Science (DUT Informatique)Last updated August 2026