My research focuses on the comparative genomics and epidemiology of microbial pathogens (bacteria and viruses) to understand pathogen evolution at population-level and within hosts, population structure, spatial and temporal distribution of strains, genetic determinants for antimicrobial resistance, virulence, and diseases. I undertake large-scale genomic analysis of high throughput next-generation sequencing data from microbial populations using bioinformatics and statistical approaches. My multidisciplinary research aims to bring together a wide range of skills, including but not limited to genomics, data science, epidemiology, and bioinformatics, working closely with epidemiologists, wet-lab and computational biologists, and clinicians. The overarching goal of my research is to understand how pathogens populations spread, evolve, and adapt to cause diseases in humans and animals to improve diagnosis and surveillance to inform disease prevention and control strategies.
Bacteria; Carrier State; Disease Outbreaks; Drug Resistance, Microbial; Opportunistic Infections; Phylogeny; Pneumococcal Infections; Pneumonia, Pneumococcal; Respiratory Tract Infections; Statistics as Topic; Streptococcal Infections; Virulence; Viruses; Meningitis, Bacterial; Molecular Epidemiology; Disease Transmission, Infectious; Sepsis; Evolution, Molecular; Computational Biology; Drug Resistance, Bacterial; Public Health Informatics; Host-Pathogen Interactions; Genome-Wide Association Study; Coinfection; Microbiota; Data Science; Vaccine-Preventable Diseases
Antimicrobial Resistance; Disease Transmission; Global Health; Infectious Diseases; Respiratory Disease/Infections; Vaccines