Ongoing project

Predicting Drug Properties from Transcriptomic Profiles and Docking Simulations using Machine Learning

Lena Herbold, co-supervision with Olivier Mailhot

Jan 1, 2026 Master
AI for RNA-Seq Embeddings in Transcriptomic Profiling

Serena Chan

Jan 1, 2025 Master
AI for RNA-Seq Embeddings in Transcriptomic Profiling
Use of gene expression profiles for prediction of biological activity of compounds

Léa Kaufmann

Sep 1, 2023 Doctorat
Use of gene expression profiles for prediction of biological activity of compounds
Using deep learning diffusion models for denoising of low-coverage RNA-seq data

Carl Munoz

Sep 1, 2022 Doctorat
Using deep learning diffusion models for denoising of low-coverage RNA-seq data
Neural network development from pan-transcriptomic k-mer tables for RNA-Seq applications

Nicolas Jacquin

Jan 1, 0001 Doctorat
Neural network development from pan-transcriptomic k-mer tables for RNA-Seq applications