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An Interdisciplinary Research Centre at the University of Cambridge
 

Read more at: Paniz Hosseini

Paniz Hosseini

I am currently a PhD student in the Department of Veterinary Medicine at the University of Cambridge, under the supervision of Professor James Wood. My PhD topic will build on my previous work on the FluMAP study, which focused on understanding more about the avian influenza epidemic in the UK, and farmers behaviours and implementation of biosecurity on UK poultry farms.



Read more at: Charlotte Rendina

Charlotte Rendina

What I do:

PhD project on rabies surveillance and control programs and their sustainability using a One Health approach.


Research Interests:

I am interested specifically in One Health and how this can be applied to improve the prevention and control of infectious diseases. I am particularly interested in having a broad view over different topics and research areas to contribute to my research and knowledge.


Read more at: Dr Caitlin Collins

Dr Caitlin Collins

What I do:

I am developing methods to better understand accessory genome evolution. By analysing non-SNP variation, namely the gain and loss of whole genes and mobile elements, within a phylogenetic framework, my work aims to characterise evolutionary rates in the accessory genome and to examine how gene gain/loss and selection give rise to the variation observed in bacterial accessory genomes over different timescales.


Read more at: Molly Cliff

Molly Cliff

What I do:

I am currently working as a Research Assistant for Dr Caroline Trotter to investigate the epidemiology of pneumococcal disease in Africa. We are currently working to review existing pneumococcal data sets from the African meningitis belt and use this data to analyses prevention and control strategies of pneumococcal disease/outbreaks with a focus on displaced populations.




Read more at: Dr Qi Yin

Dr Qi Yin

What I do:

I study meta-genomics analysis of the human gut microbiome and the development of potential antibacterial agents derived from gut microbes.


Read more at: Kristina Kordova

Kristina Kordova

What I do:

Applying machine learning for the discovery of novel antimicrobial resistance variants in Klebsiella pneumoniae.


Research Interests:

  • Antimicrobial resistance
  • Bacterial genomics
  • Machine learning
  • Single-cell sequencing