Machine learning [92]
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
Metabolic host-bacteria interactions
Pedro Escoll
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 […]
Topological and statistical properties of neural connectomes
Christian L. Vestergaard
Mounib Mohamed Benimam
Stroma, Inflammation and Tissue Repair
HoloZcan – Deep Learning Powered Holographic Microscopy for Biothreat Detection on Field
Mariana Ferrari • Marie-Noelle Ungeheuer
Johann Dreo
Bioinformatics and Biostatistics HUB
Scientific interests: optimization, search (meta)heuristics, explainable artificial intelligence, machine learning, algorithm design and engineering, graph mining, semantic knowledge graphs, reproducibility, systems biomedicine. I’m currently working on: Wants to know (a lot) more? See my […]