PHIND Seminar Series - Manuel Rivas, PhD

Instead of racing to cure disease after the fact, we hope to prevent disease before it strikes. In order to realize the full potential of Precision Health we can learn the opportunities by integrating massive-scale datasets and advanced computational algorithms. In this talk, I will present the resources and statistical learning approaches we have developed in the Rivas Lab using population scale genomic data and medical records in approximately 500,000 individuals from the UK Biobank study. The algorithms and computational tools are designed to learn about disease risk attributed to genes, to improve learning across populations, and to provide precise characterization of genetic risk across diseases for an individual.