Bioinformatics & Computational Genomics — advancing understanding of human genetics, ancestry, and health.
Our lab focuses on computational approaches to human genetics, ancestry, and health.
We study relationships between genetic diversity, socioeconomic factors, and health outcomes. Our work focuses on precision medicine, health disparities, and pharmacogenomics — investigating how genetics and the environment interact to shape disease risk.
We develop and apply methods for genetic ancestry inference, with an emphasis on the characterization of admixed American populations. Our tools including Rye and Pastrami enable fast and computationally efficient ancestry inference at population biobank-scale.
We are engaged in international capacity building in genomics and bioinformatics. We conduct collaborative research, workshops and short courses, and exchange visits for students and faculty between host institutions in the US, Latin America, and Africa.
Building local capacity in genomics, bioinformatics, and precision medicine in Colombia. Communications Biology (2025).
Read paper →Genetic ancestry and population structure analysis of the All of Us Research Program cohort. Nature Communications (2025).
Read paper →A fast and efficient algorithm for fine-scale genetic ancestry inference. NAR Genomics & Bioinformatics (2025).
Read paper →
