In collaboration with

KCL Alan Turing

Argentina | Acinetobacter baumannii | 2017

Resistant | Ceftazidime

Select variable


Antimicrobial resistance (AMR) is a major global public health threat and its spread needs to be monitored to predict future outbreaks. AMR data from various resources worldwide can be integrated for a standardised global surveillance of AMR, which can be implemented in accessible tools to inform policymakers and healthcare shapers. Researchers at King’s College London and The Turing Institute have collaborated to build a website of interactive visualisations of the AMR Register for AMR epidemiologists and policymakers. These visualisations include:

How to use

About Us

Victoria Carr is a bioinformatics PhD student at the Centre for Host-Microbiome Interactions, King's College London studying antimicrobial resistance and computational metagenomics. Victoria is a developer for a Biotech start-up, Blue Ridge Bioinformatics.
She also runs a community and a podcast, called Researc/hers Code, supporting women in tech and academia through running coding and skills workshops, and interviewing female scientists on the podcast.
She often participates in hackathons, likes to create and build software, and is always on the lookout for new challenges in BioTech.

Dr Chanuki Seresinhe is a senior data scientist at Channel 4 and a data science researcher at the Alan Turing Institute. Chanuki's research entails using big online datasets and deep learning to understand how the aesthetics of the environment influences human wellbeing. She also works as a freelance data scientist at Channel 4.
She received her PhD from the Data Science Lab, Warwick Business School, University of Warwick. Prior to embarking on her PhD, Chanuki had a successful design career that included running her own digital design consultancy for over eight years in London, advising clients, including the Tate, Design Museum, Dezeen, NESTA and the Gulbenkian Foundation how to present their businesses successfully online.


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