Machine learning [84]
Jeremie Kalfon
Machine Learning for integrative genomics
ERC Consolidator Grant PrApEDoC: Predicting Apoptosis Engagement Downstream of Caspasese
Romain Levayer
Effect of mood states on neural connectome
Mariana Alonso
Ernest Mordret
Molecular diversity of microbes
Microbiotalogy
The microbial communities that live with us, the microbiota, are now understood to be a key component of our being, playing roles in metabolism, immunity and behavior. More than a decade has elapsed since […]
Aude Bernheim
Molecular diversity of microbes
Aude Bernheim is a microbiologist interested in how bacteria fight off their viruses. She did her PhD in the Pasteur Institute in Paris studying the evolution of CRISPR-Cas systems and her post-doc in the […]
Remi Trimbour
Machine Learning for integrative genomics
Laura Cantini
Machine Learning for integrative genomics
Laura Cantini is a G5 junior group leader heading the Machine Learning for Integrative Genomics group. Mathematician by training, Laura works at the interphase of machine learning and genomics. Due to the advent of […]
Eloi Vincent
Architecture and Dynamics of Biological Macromolecules
Mareike Buhl
Center for Research and Innovation in Human Audiology
Juliette Meyer
Expertise group : Stats
I was recruited at Pasteur Institute in Octobrer 2022 as biostatistician of the Statistical Group of the Hub. My main areas of expertise is statistical modeling especially of high-dimensional data. Before joining Pasteur, I […]
Gaëlle Letort
Dynamics of Developmental Decisions in Drosophila
Gaëlle Letort gratuated from the applied mathematics and computer science engineering school ENSIMAG. She did a phD on numerical simulations of cytoskeleton auto-organisation at the CEA of Grenoble. She worked for a few months […]
DECIDER: artificial intelligence to improve diagnosis and treatment of ovarian cancer
Benno Schwikowski
Mara Santarelli
Computational Systems Biomedicine
Daniel Krentzel
Imaging and Modeling
I am a PhD student in the Imaging and Modeling Unit supervised by Christophe Zimmer. My PhD project aims to develop deep learning methods for antibacterial drug discovery. Previously, I studied Biomedical Engineering at […]