Antoine Recanati
Ph.D.
Sancare, Paris,
and CBIO, Mines ParisTech
{firstname}.{lastname}<at>mines-paristech.fr
I am currently working as a data scientist
at Sancare and as a
post-doc at the Center for Computational
Biology (CBIO) at Mines
ParisTech under the supervision
of Chloé Azencott, in several projects involving classification of diseases from electronic health records (EHRs), automated patient pre-screening for clinical trials, and privacy-preserving training of distributed models.
Previously, I have worked on solving permutation problems (akin to solving a huge jigsaw puzzle) through relaxation based approaches, applied to de novo genome sequencing, during my Ph.D. in the Sierra Team of the Computer Science Department of École Normale Supérieure, under the supervision of Alexandre d'Aspremont.
I graduated from École Normale Supérieure de Cachan (a.k.a., ENS Paris-Saclay) in 2015, where I obtained a Masters Degree in Physics in 2014, and in Mathematics, Machine Learning and Computer Vision (MVA) in 2015. I completed my PhD in October, 2018.
Publications
Relaxations of the Seriation problem and applications to de novo genome assembly
Antoine Recanati
PhD Manuscript
[
HAL]
[
bibtex]
@phdthesis{recanati2018relaxations,
title={Relaxations of the Seriation problem and applications to de novo genome assembly},
author={Recanati, Antoine},
year={2018},
school={PSL Research University}
}
A spectral algorithm for fast de novo layout of uncorrected long nanopore reads
Antoine Recanati, Thomas Brüls, Alexandre d'Aspremont.
[
HAL]
[
arXiv]
[
bibtex]
[
GitHub]
@article{recanati2016spectral,
title={A spectral algorithm for fast de novo layout of uncorrected long nanopore reads},
author={Recanati, Antoine and Br{\"u}ls, Thomas and d'Aspremont, Alexandre},
journal={Bioinformatics},
year={2016}
}
Robust Seriation and Applications to Cancer Genomics
Antoine Recanati, Nicolas Servant, Jean-Philippe Vert, Alexandre d'Aspremont.
[
HAL]
[
arXiv]
[
bibtex]
[
GitHub]
@article{recanati2018robust,
title={Robust Seriation and Applications to Cancer Genomics},
author={Recanati, Antoine and Servant, Nicolas and Vert, Jean-Philippe and d'Aspremont, Alexandre},
journal={arXiv preprint arXiv:1806.00664},
year={2018}
}
Reconstructing Latent Orderings by Spectral Clustering
Antoine Recanati, Thomas Kerdreux, Alexandre d'Aspremont.
[
HAL]
[
arXiv]
[
bibtex]
[
GitHub]
@article{recanati2018reconstructing,
title={Reconstructing Latent Orderings by Spectral Clustering},
author={Recanati, Antoine and Kerdreux, Thomas and d'Aspremont, Alexandre},
journal={arXiv preprint arXiv:1807.07122},
year={2018}
}
Teaching
2017-2018 : Substitute Teaching Assistant for a few lessons, same course.
Talks
October 2016,
Institut Curie. [
slides]
June 2018, Symbiose Seminar,
INRIA Rennes. [
slides]
October 2018, PhD Defense,
INRIA Paris, [
slides]
March 2019, CBIO meeting,
Mines ParisTech, [
slides]