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Clément Weinreich

PhD student in Machine Learning for Genomics

Institut Pasteur
ML4IG group
cweinrei@pasteur.fr

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!

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Paper Code
Eurographics · 2024

Real-Time Neural Materials using Block-Compressed Features

C. Weinreich, L. De Oliveira, A. Houdard, G. Nader
Paper

Education

Last updated August 2026