John T Vivian

Summary

I am a fourth-year bioinformatics PhD candidate at UC Santa Cruz working in the Computational Genomics Lab at the Genomics Institute. I spent the first two years helping develop Toil, an open-source distributed workflow system designed for massive scalability. This work enabled a large-scale compute of gene- and isoform-level expression values from 20,000 RNA-seq samples across several important datasets using the Toil-Rnaseq python package I developed and maintain.

My current research uses Bayesian modeling of gene expression data to improve drug candidate selection for N-of-1 patient analyses.

Bioinformatics Data Mining & Machine Learning Genetics

Past or current institution affiliations