JACOB Laurent

Research Director
[email protected]
https://laurent-jacob.github.io/
CNRS
Laboratoire de Biologie Computationnelle et Quantitative LBCQ (UMR 7238)

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities
Climate, Environment & The Universe
Health, Medicine & Biology
Mathematics, Computer Science & Robotics
Skills
Data analysis, Deep learning, Generative models, Interpretability, Machine learning, Mathematical models

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Selected publications

  1. J. Trost, J. Haag, D. Höhler, L. Jacob, A. Stamatakis, and B. Boussau. Simulations of Sequence Evolution: How (Un)realistic They Are and Why. Molecular Biology and Evolution, 41(1):msad277, 2023
  2. A. Villié, P. Veber, Y. D. Castro, and L. Jacob. Neural networks beyond explainability: Selective inference for sequence motifs. Transactions on Machine Learning Research, 2023
  3. L. Nesterenko, B. Boussau, and L. Jacob. Phyloformer: towards fast and accurate phylogeny estimation with self-attention networks. bioRxiv, 2022
  4. H. Roux de Bézieux, L. Lima, F. Perraudeau, A. Mary, S. Dudoit, and L. Jacob. CALDERA: finding all significant de bruijn subgraphs for bacterial GWAS. Bioinformatics, 38, 2022
  5. D. Chen, L. Jacob, and J. Mairal. Convolutional kernel networks for graph-structured data. In Proceedings of the 37th International Conference on Machine Learning, pages 1576–1586, 2020