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.


Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre- and post-COVID-19 pandemic years

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

Seasonal influenza circulation patterns and projections for February 2024 to February 2025

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

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

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