Senior Data Scientist @sangerinstitute | Antimicrobial resistance evolution | Researcher and coffee drinker

Cambridge, UK
Joined June 2013
Most AMR data is still collapsed to “resistant vs susceptible.” But resistance often shows gradual shifts before cut-offs. AMR Cartography maps full profiles in 2D — revealing co-resistance, sub-breakpoint changes & lineage patterns. 🔗 biorxiv.org/content/10.1101/…
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🚨 New paper in eLife! We analysed >100k malaria parasite samples to track the rise of artemisinin resistance. Resistance is now emerging in Africa, echoing SE Asia 10–15 yrs ago. Genomic surveillance is key to staying one step ahead! elifesciences.org/articles/1…
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Applied to 3,600+ pneumococcal isolates, AMR Cartography revealed lineage-specific resistance and the genetic changes driving multidrug resistance.
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Instead of treating correlations between drugs as noise, we use them as insight. That lets us see: • subtle shifts before breakpoints • co-resistance patterns • collateral sensitivity trade-offs • genetic markers of resistance
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In our new preprint we introduce AMR Cartography: a way to map full resistance profiles into simple 2D maps.
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New Preprint! 🚨: Most AMR data gets collapsed into “resistant” vs “susceptible.” But resistance isn’t a simple switch — it changes gradually, and often in correlated ways across drugs.
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We’ve just posted AMR Cartography on bioRxiv: a way to study multivariate drug resistance and connect it to genotypes. Would love feedback from people working with surveillance MIC data! @AntibioticResis @crypticproject biorxiv.org/content/10.1101/…
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AMR Cartography lets us visualise how different pneumococcal lineages have distinct multivariate resistance phenotypes. @pneumowatch
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New preprint: Antimicrobial Resistance Cartography — a simple way to map multivariate drug-resistance phenotypes, using data from @CDCgov. biorxiv.org/content/10.1101/…
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We show that the increases in resistance we've seen in East and Northeast Africa mirror those in Southeast Asia 10-15 years previously.
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