Welcome.

I'm a computational biologist. I build methods and software for analyzing genomic and transcriptomic data, with work across virology, RNA biology, and statistical modeling. Most of what I do comes down to pulling clear answers out of large, messy datasets.

Right now I'm a postdoctoral fellow in the Virus Persistence and Dynamics Section at the NIH Vaccine Research Center (NIAID). I develop approaches for accurate, single-genome virus sequencing and build pipelines to study how viruses evolve and persist, leaning on machine learning more and more along the way.

I did my Ph.D. in Biomedical Engineering at UC Davis with Dr. Sharon Aviran, where I built machine learning methods to find RNA structures in genome-scale structure-probing data. I also spent a good part of that time teaching and developing curriculum in quantitative and computational biology, which earned me the Dr. Ronald J. Smith Distinguished Teaching Fellowship from the College of Biological Sciences.

Mostly, I just like applying my love of math, statistics, and computation to biological problems.