Post Doctoral Associate
Genetic variation is a two-way street. Although mutations can provide the basis for environmental adaptation or phenotypes favored by human breeders, the random nature of these alterations guarantees the emergence of genetic variants with deleterious effects on the fitness of the organism. These unfavorable variants may persist in the population due to the inefficiencies of selection and, together, constitute the genetic load of the species. My research focuses on developing efficient machine learning approaches to identify the alleles that contribute to the genetic load in maize.