Michelle L. Sait

This study uses genomic data to show that most multidrug-resistant tuberculosis in Bhutan comes from local transmission, forming a large, recent endemic cluster.

This study identifies novel Cryptosporidium subtypes and genetic diversity linked to swimming pool outbreaks in Victoria, Australia, using molecular surveillance and epidemiological data.

This paper develops a benchmark dataset for SARS-CoV-2 amplicon sequencing to improve genomic surveillance in resource-constrained labs, finding that basecaller choice has minimal impact on consensus quality.

This paper develops and validates tbtAMR, a bioinformatics tool for predicting antimicrobial susceptibility from Mycobacterium tuberculosis genomic data, accredited to ISO standards for clinical use.

This study combines real-time genomic and epidemiological analysis to identify and manage KPC-producing Enterobacteriaceae outbreaks, revealing transmission networks and informing infection control.