Jover Lee

Software engineer

I am a new bioinformatics analyst at the Bedford lab. I received my Bachelor’s degree in Molecular Toxicology from the College of Natural Resources at UC Berkeley. I graduated from the inaugural class of the full-stack coding bootcamp at the University of Washington. I am excited to be in a position where I can combine my love for biological research and my new found love of coding.


Age-dependent heterogeneity in the antigenic effects of mutations to influenza hemagglutinin

Human mobility impacts the transmission of common respiratory viruses: A modeling study of the Seattle metropolitan area

Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition

Local-Scale phylodynamics reveal differential community impact of SARS-CoV-2 in metropolitan US county

Trends in risk factors and symptoms associated with SARS-CoV-2 and rhinovirus test positivity in King County, Washington: A test-negative design study of the greater Seattle Coronavirus Assessment Network

Associations between SARS-CoV-2 variants and risk of COVID-19 hospitalization among confirmed cases in Washington State: a retrospective cohort study

Interactions among 17 respiratory pathogens: a cross-sectional study using clinical and community surveillance data

SARS-CoV-2 epidemiology on a public university campus in Washington State

Viral genomes reveal patterns of the SARS-CoV-2 outbreak in Washington State

Effects of weather-related social distancing on city-scale transmission of respiratory viruses: a retrospective cohort study

Evaluating specimen quality and results from a community-wide, home-based respiratory surveillance study

Augur: a bioinformatics toolkit for phylogenetic analyses of human pathogens

Viral genome sequencing places White House COVID-19 outbreak into phylogenetic context

Characteristics of COVID-19 in homeless shelters: A community-based surveillance study

Cryptic transmission of SARS-CoV-2 in Washington State

Early detection of Covid-19 through a citywide pandemic surveillance platform

Mapping person-to-person variation in viral mutations that escape polyclonal serum targeting influenza hemagglutinin

Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants


id3c - Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.

nextflu - Real-time tracking of influenza evolution

ncov-cryptic-transmission - Cryptic transmission of SARS-CoV-2 in Washington State