Manuel Rivas

Manuel Rivas

Assistant Professor of Biomedical Data Science

(650) 724-6077

The Rivas lab is based in the Department of Biomedical Data Science. We are a new lab with a focus on population analytics using genomic and phenotype data. We 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.

Research Areas: 

  • Human Genetics
  • Statistical Genetics
  • Learning Healthcare Systems
  • Biostatistics