Luc Blassel

Teddy: neural inference of epidemiological parameters from viral sequences

The paper introduces a deep learning framework for estimating epidemiological parameters from viral sequences, achieving high accuracy and speed compared to traditional methods.

Phyloformer: Fast, accurate and versatile phylogenetic reconstruction with deep neural networks

Phyloformer uses deep learning to quickly and accurately reconstruct phylogenetic trees from protein sequences, outperforming existing methods on simulated and real data.

Using machine learning and big data to explore the drug resistance landscape in HIV

The paper was withdrawn due to duplicate posting and does not provide original research findings.

COVID-Align: Accurate online alignment of hCoV-19 genomes using a profile HMM

The paper introduces COVID-Align, a tool for efficiently aligning SARS-CoV-2 genomes using profile HMM, enabling rapid and accurate analysis of large datasets.