statistic and machine learning methods applied to population genetics inference
I'm helping organizing the
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.
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
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
- 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
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.
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