French (Fr)English (United Kingdom)
 

No translation found

portrait de Willy RodriguezWilly RODRIGUEZ

_________________________________

Génétique Quantitative et Évolution - Le Moulon
INRA - Université Paris-Sud - CNRS - AgroParisTech
Ferme du Moulon
F-91190 Gif-sur-Yvette
e-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
phone: + 33 (0)1 69 33 23 64


> Education

June 2016 - PhD in Applied Mathematics.
PhD dissertation: "Reconstructing the demographic history of populations from genomic data".

August 2012 - Master in Applied Mathematics, Havana University, Cuba.

July 2008 - Bachelor in Mathematics, Havana University, Cuba.

 

> Positions

2016-present - Post doctoral fellow  at GQE le Moulon.

2012-2016 - PhD student at INSA-Toulouse (Toulouse University), France.

2008-2012 - Assistant professor, Havana University, Cuba.

 

> Aim

My research focuses on the development and application of mathematical models allowing to detect meaningful demographic events occurred throughout the history of populations. I'm interested in describing how interactions between demographic events and genetic processes (like mutations and recombinations) can generate the patterns observed in present DNA sequences. A better understanding of these interactions can give new insights into the evolution of many species, including human species.

 

> Publications

Boitard S. , Rodríguez W. , Jay F. , Mona S., and Frédéric Austerlitz F. (2016) Inferring population size history from large samples of genome-wide molecular data - an approximate bayesian computation approach. PLoS Genet, 12 (3) 1–36.

Mazet O., Rodríguez W., Grusea S., Boitard S., and Chikhi L. (2015) On the importance of being structured: instantaneous coalescence rates and human evolution lessons for ancestral population size inference ? Heredity, 116 (4) 362-71.

Mazet O., Rodríguez W., and Chikhi L. (2015) Demographic inference using genetic data from a single individual: Separating population size variation from population structure. Theoretical Population Biology, 104  46–58.