You are a student interested in doing an internship about population genetics, statistics and machine learning? Feel free to contact me and tell me a bit about your experience and motivation!
Outdated: Together with Guillaume Charpiat (TAO - INRIA/LRI) we propose M2 internships on deep learning for population genetics. The proposals are focused either on more applied or more theoretical part of the work. Contact us to discuss what you think would suit you the best! We would be happy to have both biologists interested in stats/info/machine learning, or the other way around.
Fr: Reconstruire notre passé : apprentissage statistique (deep learning) pour la génétique des populations.
Fr: Architectures souples pour le deep learning avec application en génétique des populations.
En: Reconstructing the past: deep learning for population genetics.
I would define myself as a population geneticist with a math/info background, eager to learn from different fields.
Areas of research:
- Models and methods: developing statistical/mathematical approaches for analyzing biological data (mostly genetics but not only)
- Application in population genetics and ecology
I am particularly interested in genetic anthropology, spatial processes that shape genetic diversity, relationships between genes and environment, and reconstructing demographic history of populations (any species).
Methodological keywords: statistical inference, Bayesian statistics, applied probability, machine learning (starting)
I just started an exciting position as a CNRS junior researcher in the Lab for Computer Science at Paris-Sud University (LRI, Laboratoire de Recherche en Informatique, UMR8623). I'll will be a member of Bioinfo and will collaborate with TAO (now TAU).
I was previously a postdoctoral researcher in the Ecological Anthropology and Ethnobiology lab (Genetic Anthropology) with Fréderic Austerlitz. This group is part of the National Museum of Natural History (Paris).
And before that, I was a postdoctoral researcher in Montgomery Slatkin's lab in UC Berkeley. This lab is part of the Center for Theoretical Evolutionary Genomics.