Dr. , School of Medicine at Stanford University
Models, Tools, and Resources for genomic studies of diseases and other phenotypes across population biobanks and case-control studies
The Rivas lab is based in the Department of Biomedical Data Science. They are a new lab with a focus on population analytics using genomic and phenotype data. The lab will develop statistical models, algorithms, and computational tools for the analysis of millions of samples. Scientific themes that the lab will focus on: 1) Generating effective therapeutic and preventative hypotheses for human diseases from human genetic, imaging, wearable sensor, and environmental data; 2) developing technologies for integrated learning healthcare systems with a particular focus on underserved communities and developing regions of the world; 3) genetic epidemiology where the aim is to understand the global distribution of common and rare disease predisposition genes; and 4) high dimensional methods development and optimization.
The "Think Different" seminar series is organized by doctoral students at FIMM. For the series, researchers working on exciting new ideas are invited to give a talk and hopefully encourage the audience to think different.