Leverages genome diversity data and evolutionary models to advance precision medicine, including the identification of clinically relevant variants and the extraction of additional biological information from GWAS projects using an evolutionary prism.
Investigates the history of human diseases, from ancient mechanisms to the origin, fixation and spatiotemporal dynamics of disease-risk alleles.
Using comparative approaches among model and non-model organisms to understand human disease mechanisms, and learning about disease-relevant features from evolutionary differences (e.g., in cancer susceptibility, regeneration capabilities, etc.).
Investigates how a global detrimental process such as aging has evolved and became fixed across life, why there are big differences in lifespan across taxa, how these differences are encoded in the genomes and how we can learn from them to slow down our own aging.
