Abby Jerger

Data Scientist

Abby Jerger is a data scientist with the Computing, Analytics, and Modeling science area at the Environmental Molecular Sciences Laboratory.

Jerger received a bachelor of science in mathematics and a minor in biology from the University of Washington Bothell. While attending the university, Jerger worked with Jesse Zaneveld using the QIIME 2 microbiome tool for quantifying the change in a community's gut microbiome before and after the introduction of vegetables into their diet. She also worked with Taran Gujral at the Fred Hutchinson Cancer Research Center to implement elastic net regression in R and predict kinase and kinase inhibitor interactions.

Her work has included the development of a pipeline in R that web scrapes, cleans, and filters RB-TnSeq fitness data, the amino acid encoded k-mer analysis Python package Snekmer, and on the KBase app, a large-scale online data science platform. She has experience cleaning and analyzing bacterial growth data in sequencing systems, submitting genomes, and automating the population of the PostgreSQL open source database with genome sequences pulled from the National Center for Biotechnology Information.