Daniel J. Park

Delphy provides a fast, scalable Bayesian phylogenetic analysis tool for outbreak tracking, achieving 1,000x speedups while maintaining state-of-the-art accuracy.

This study uses genomic data from 8746 SARS-CoV-2 genomes across 33 African countries to show that most epidemics were initiated by European importations and later driven by local transmission and mobility, leading to the spread of variants of concern.

This study uses metagenomic sequencing to detect pathogens in CNS infections, identifying novel pathogens and improving detection methods.

The paper introduces DNA spike-ins to detect contamination in SARS-CoV-2 amplicon-based sequencing and demonstrates their utility in a real-world outbreak investigation.

This paper develops CRISPR-Cas13a-based diagnostics for real-time detection of Ebola and Lassa viruses in field settings, demonstrating sensitivity and usability in clinical samples.

The paper analyzes mumps virus circulation in the US using genomic data to show multiple co-circulating lineages and transmission patterns, but finds no evidence of vaccine escape variants.

The paper introduces CATCH, a method for designing compact and scalable probe sets to enhance metagenomic sequencing sensitivity, demonstrating improved viral genome recovery and diversity preservation.

This study sequenced 110 Zika virus genomes from 10 countries, revealing rapid expansion in Brazil, multiple introductions into other regions, and undetected circulation before confirmed cases.