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.
Séverine Liegeois is currently doing a M2 internship on the visualization of modern and ancient DNA data through PCA or related techniques.
Jean Cury started a postdoc in January. He will work on the inference of demography and selection for bacterial populations using machine learning and deep learning techniques. This project is a collaboration with Philippe Glaser (Insitut Pasteur), Guillaume Achaz (MNHN) and Eduardo Rocha (Institut Pasteur) and is funded by DIM-1Health.
We are happy to announce that Théophile Sanchez obtained a bursary from ED STIC and is starting a PhD with us (Guilluame Charpiat, Marc Schoenauer and myself) to follow up his master internship Reconstructing the past: deep learning for population genetics!
The 2nd Junior Conference on Data Science and Engineering, Paris-Saclay will be hosted by the LAL on September 14th and 15th, 2017 (co-chairing with Sarah Cohen-Boulakia).
All the information on http://junior-data-science.org/
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Article sur la JDSE17
Guillaume Charpiat (TAU - INRIA/LRI) and I are pleased to welcome Théophile Sanchez, who is doing a master 2 internship thanks to a grant we obtained from the Center for Data Science.
Théophile is working on Reconstructing the past: deep learning for population genetics.
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