Miguel de Navascués - CV

Published

May 28, 2026

RESEARCH

I am a researcher at the CBGP (Centre de Biologie pour la Gestion des Populations - INRAE) in Montpellier. My work focuses on the development and evaluation of statistical methods for analyzing population genetic data to infer evolutionary processes, including genetic drift, gene flow, and selection. Currently, my research is centered on three lines:

  1. Simulation-based methods for the joint inference of demographic and adaptive processes.

  2. Analysis of temporal population genetic data, such as data from monitored or experimental populations.

  3. Integrative demographic inference combining genetic and demographic data (such as capture-recapture data).

I consider these three lines of research the three pillars for my long-term research objective of developing an inferential framework that can forecast the evolutionary states of a population based on demographic and genetic monitoring data.

Career

2009–present
Researcher, INRAE UMR1062 Centre de Biologie pour la Gestion des Populations (Montpellier, France).
2021–2023
Visiting Researcher, Human Evolution, EBC, Uppsala University (Sweden).
2019–2021
Marie Skłodowska-Curie Fellow, Human Evolution, EBC, Uppsala University (Sweden).
2007–2009
Postdoctoral researcher, CNRS UMR7625 Écologie et Évolution (Paris, France).
2006–2007
Visiting researcher, Université Libre de Bruxelles (Belgium).
2006
Postdoctoral researcher, Universidad Politécnica de Madrid & Centro de Investigación Forestal-INIA (Spain).
2001–2005
Doctoral candidate, University of East Anglia (UK).

Projects

I have participated, as coordinator and collaborator, to 21 funded research projects since 2003. Selection of projects below.

  1. DevOCGen: Développement et applications de nouveaux outils pour la gestion et la conservation des populations naturelles à partir de données génomiques. BiodivOc - Biodiversité Occitanie (2022–2025). Rol: Collaborator. PI: S. Boitard & R Leblois.

  2. TimeAdapt: Tracking genetic adaptation of populations using time-series genomic data. Marie Skłodowska-Curie Individual Fellowships 2017 (2019–2021). doi:10.5281/zenodo.3267084. Role: Fellow.

  3. ABCSelection: Detection of loci under selection from temporal population genomic data through ABC random forest. LabEx Agro, Cemeb & Numev Joint Call 2016 (2018–2019). Rol: PI.

Publications

I have published 38 articles and 2 pre-prints. Selection of publications below.

Number of citations per year according to Google Scholar.

  1. Analysis of the abundance of radiocarbon samples as count data. M. de Navascués, C. Burgarella, M. Jakobsson (2025) doi:10.24072/pcjournal.522. Citations: 1.

  2. SelNeTime: a python package inferring effective population size and selection intensity from genomic time series data. M. Uhl, P. Bunel, M.d. Navascues, S. Boitard, B. Servin (2025) doi:10.24072/pci.mcb.100406. Citations: 2.

  3. Joint inference of adaptive and demographic history from temporal population genomic data. V.A.C. Pavinato, S. De Mita, J.-M. Marin, M. de Navascués (2022) doi:10.24072/pcjournal.203. Citations: 5.

  4. Power and limits of selection genome scans on temporal data from a selfing population. M. de Navascués, A. Becheler, L. Gay, J. Ronfort, K. Loridon, R. Vitalis (2021) doi:10.24072/pcjournal.47. Citations: 7.