Join us for the PASADENA workshop (GT Digicosme) on Friday, February 15th
Speakers: 
    Chloé-Agathe Azencott,CBIO, Mines ParisTech/Institut Curie/INSERM
    Romain Brault, Thalès
    Julien Chiquet, AgroParisTech/INRA MIA Paris
    Chloé Clavel, LTCI, Telecom-ParisTech
    Stanley Durrleman, Aramis Lab, ICM
    Joseph Salmon, Université de Montpellier 

Program and information
Burak Yelmen is visiting from the Institute of Genomics (Estonian Biocentre, University of Tartu, Estonia). He will stay for 2 months and a half and collaborate on deep learning methods for population genetics.
Benjamin Demaille is joining the lab to work on dimension reduction, imputation, visualization of paleogenomic data. This will be a follow-up and extension of Séverine Liegeois master work.
I'm helping organizing the
Institut Pascal Research Program "Ecosystem dynamics : state, data and models" 
17 June – 12 July 2019
coordinators: Stéphane Dupas, Camille Coron, Arnaud Becheler and Adelaïde Olivier

It consists in 3 weeks of Research (seminars and working groups) and 1 of Summer School. Contact us if you are interested and want to know more.
Congratulations to Séverine Liegeois who just got the prize for best poster at the Paris-Saclay Junior Conference on Data Science and Engineering 2018 for her work on Dimension Reduction Adapted to Paleogenomics !
This work is done in collaboration Olivier François, TIMC-IMAG
I'm happy to say that Théophile Sanchez presented his work on End-to-End Deep Learning Approach for Demographic History Inference in
- a talk at MCEB conference,  Mathematical and Computational Evolutionary Biology, Montpellier, France, June 2018
- a talk at Paris-Saclay Junior Conference on Data Science and Engineering, Orsay, France, Sept. 2017 HAL reference 
- a poster at Human Evolution: Fossils, Ancient and Modern Genomes conference, Cambridge, UK, Nov. 2017
This work is done in collaboration with Guillaume Charpiat, LRI
Agnès Barnabé joined the lab for a Master 1 internship, mentored by Jean Cury and myself. She is developing a pipeline for the Demographic inference of bacterial populations using the software BEAST and testing it on Jean's simulated genomic datasets.