Published multiple research papers on COVID-19, such as 'Anti-COVID drug accelerates viral evolution' (Nature, 2023) and 'Sierra SARS-CoV-2 sequence and antiviral resistance analysis program' (Journal of Clinical Virology, 2022). Additionally, involved in several projects like HyPhy, Datamonkey.org, HIV-TRACE, etc., which have received numerous citations.
Research Experience
Serves as the Principal Investigator, leading the development of projects such as the HyPhy open-source software package, Datamonkey.org high-performance computing web-server, HIV-TRACE tool, Phylotree.js library, and galaxy.hyphy.org project.
Background
Develops statistical models and computational tools for comparative analysis of sequence data, especially large and rich datasets from measurably evolving pathogens. Research interests include molecular epidemiology, dynamics of immune repertoires, pathogenesis and within-host evolution of HIV and SIV, and optimal use of next-generation sequencing data.