Working with Bacterial Genomes

Kate Mellor is a senior staff scientist in the Pathogens and Microbes programme at the Wellcome Sanger Institute and a member of the Global Pneumococcal Sequencing project core team. Her work focuses upon the genomics of Streptococcus pneumoniae, with a particular interest in using longitudinal data to understand the dynamics of acquisition and carriage.

Research Associate, Department of Medicine

Research Assistant at Department of Medicine

Most of my work is devoted to genomically characterising Salmonella Paratyphi A with a particular focus on AMR, virulence factors, phylogeny and global distribution of the pathogen. I am also interested in azithromycin resistance within S. Paratyphi A with a focus on the increase of resistance in low-mid-income countries.

Although S. Paratyphi A is the main focus of my research, I am also interested in studying the human gut microbiome.

I am a Senior Research Associate at the Department of Veterinary Medicine of the University of Cambridge and a visiting scientist at the Victor Phillip Dahdaleh Heart & Lung Research Institute (HLRI) where I study Antimicrobial Resistance and Host-pathogen Interactions in Gram negative human pathogens, especially Salmonella Typhimurium, Klebsiella pneumoniae and Mycobacterium abscessus.

Postdoctoral Researcher

Pathogen genomics

I am a versatile postdoctoral researcher with extensive experience in Mycobacterial genomics. The primary focus of my research is investigating the transmission dynamics of various bacterial species including Mycobacterium bovis in a multi-host system and non-tuberculous Mycobacteria in a hospital setting.  Alongside my research I also have an interest in developing reproducible bioinformatics workflows using state of the art tools such as Nextflow.

Bioinformatics Teaching Associate

Job Role

Bajuna works with Hugo to support the development and delivery of our portfolio of 'omics related courses.   

Email

bs759@cam.ac.uk

Hours

Monday to Friday, office hours.

Scientist in Molecular Evolution at European Bioinformatics Institute