|Degrees:||BA (Bishop's), B.Sc. (McGill), M.Sc. (École de technologie supérieure), Ph.D. (Montreal)|
|Phone:||613-520-2600 x 4194|
|Website:||Visit my lab website|
My main area of research deals with Bayesian modeling of molecular evolution, primarily focused on protein-coding genes and the various forces (e.g., mutation, selection, drift) that have shaped extant sequences. In this line, I am also interested in Markov chain Monte Carlo methods and high-performance statistical computing. Other areas that interest me include protein structure modeling, statistical protein design, and next-generation-sequencing approaches for studying viral and microbial evolution in clinical and experimental settings.
Rodrigue, N. and Lartillot, N. (2017). Detecting adaptation in protein-coding genes using a site-heterogeneous mutation-selection model. Mol. Biol. Evol., 34:204-214.
Lee, H.-J., Kishino, H., Rodrigue, N. and Thorne, J. L. (2016). Grouping substitution types into different relaxed molecular clocks. Phil. Trans. R. Soc. B, 371:20150141.
Bailey, S. F., Rodrigue, N. and Kassen, R. (2015). Selection environment drives the degree of parallel evolution in experimentally evolved populations of Pseudomonas fluorescens. Mol. Biol. Evol., 32:1436-1448.
Rodrigue, N. and Lartillot, N. (2014). Site-heterogeneous mutation-selection models within the PhyloBayes-MPI package. Bioinformatics, 30:1020-1021.
Dettman, J. R., Rodrigue, N., Aaron, S. and Kassen, R. (2013). Evolutionary genomics of epidemic and non-epidemic strains of Pseudomonas aeruginosa. Proc. Natl. Acad. Sci. U.S.A., 110:21065-21070.
Rodrigue, N. (2013). On the statistical interpretation of site-specific variables in phylogeny-based substitution models. Genetics, 193:557-564.