Amaury Lambert

The paper models Gaussian selection on a polygenic trait under statistical equilibrium, showing how genetic mutations cause deviations from optimal trait values and how these deviations influence genic selection.

The paper introduces Blockbuster, a program that infers recent population demography from genome-wide SFS, achieving theoretical limits and outperforming existing methods.

This study uses high-throughput conjugation to map genetic traits in E. coli by analyzing recombination patterns and fragment sizes across strains.

The paper reconstructs ancestral mutualistic networks and finds they maintain modular structure over millions of years due to evolutionary conservatism of interactions.

This paper presents a stochastic model showing that intermediate phenotypic plasticity can enhance evolutionary rescue by balancing the acceleration of adaptation and the reduction of mutant fitness advantage.

The paper introduces CBA, a probabilistic method to infer genetic and growth rates from cell populations, using a backbone tree and monogram to model evolutionary processes.

This paper introduces a model for bacterial pangenome evolution and applies it to Salmonella genomes to classify genes based on their evolutionary dynamics.

This paper argues that parsimonious microscopic models of speciation are needed to understand macroevolution, but too detailed models fail to make robust predictions.

The paper analyzes how demographic factors influence linkage disequilibrium measures under different recombination scenarios and provides recommendations for their use.

This paper theoretically examines how population bottlenecks influence evolutionary paths and adaptation rates in periodically bottlenecked populations.