The Rivas Lab is located in the Department of Biomedical Data Science at Stanford University.

Research in the lab

We are focused on:

1. Developing methods for generating effective therapeutic hypotheses from human genetic data,
2. Training disease risk prediction models from biomarkers and human genetic data,
3. Building artificial intelligence tools for tumor boards,
4. Optimizing computational algorithms by numerical and statistical strategies.

I will post blog posts of recent research in my lab.

A bit about the PI:

I was born in Managua, Nicaragua. I was trained in Mathematics (Course 18) at Massachusetts Institute of Technology.

There, I was trained by Prof. Richard M. Dudley whose research mainly focused on empirical process theory.

Plot of a Brownian Bridge.

While at MIT, I spent a great deal of time doing human genetics research with Dr. Mark J. Daly and Dr. David Altshuler. There, I had the privilege to work on Genome Wide Association Studies, i.e. studies that try to link genetic variants/mutations in the genome to diseases.

GWAS of a disease. On the x-axis is the position of the genetic variant in the genome. Y-axis the corresponding -log10(P value) for the variant after testing for association.

I obtained my DPhil (PhD) in the Nuffield Department of Clinical Medicine at the University of Oxford. I was a Clarendon Scholar, Osler Award winner, and supervised by Prof. Mark McCarthy and Prof. Peter Donnelly. My research focused on developing methods for rare variant association studies.