The Rivas Lab is located in the Department of Biomedical Data Science at Stanford University.
Research in the lab
We are focused on:
- Developing methods for generating effective therapeutic hypotheses from human genetic data,
- Training disease risk prediction models from biomarkers and human genetic data,
- Building artificial intelligence tools for tumor boards,
- 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.
