Jacqueline is a PhD student at the Wellcome Sanger Institute and the University of Cambridge. Before starting her doctoral studies, she worked as a bioinformatician for a year in Dr. David Adams' Experimental Cancer Genetics group at the Wellcome Sanger Institute. Jacqueline obtained a BSc degree in Molecular Sciences from the University of São Paulo (USP) and carried out undergraduate-level research in the Laboratory of Neurobiology and Stem Cells of the Institute of Biomedical Sciences of USP, under the supervision of Dr. Marilene H. Lopes.
I am a geneticist with a background in plant-parasite genetics, single-cell DNA sequencing, plant genetics and evolution, and mathematics. I use the Linux command line fluently, and I also use R and Python. Most recently, I worked on a method to infer which parent genetic variants were inherited from using epigenetic imprinting.
My background is in Biological Sciences. I obtained my MSci at the University of Bristol. During my undergraduate degree, I became extremely interested in plant sciences and decided that I wanted to purse a PhD in plant/crop sciences.
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.
Postdoctoral Researcher in the Moyroud Group at SLCU studying natural variation and EvoDevo of petal bullseye patterns in Hibiscus using a combination of genetics, genomics and field work.
Fei is a joint bioinformatician for both Prof Horvath’s group and Prof Chinnery’s group. She will analysis exome or whole genome sequencing in 100,000 Genomes Project, Solve-RD rare disease database and in ICGNMD (UCL). Her aim is to implement different bioinformatics pipelines to identify novel pathogenic variants or genes in rare Neuromuscular disease. She is also using transcriptomic data to understand the genetics of mitochondrial disorders.
