Michael White

@mtwhite.bsky.social

Infectious Disease Epidemiology & Analytics Unit, Institut Pasteur Epidemiology | Modelling | Serology | Malaria (esp vivax) | NTDs 🇮🇪🇪🇺🇫🇷

Today marks 30 years since we identified the apicoplast, a relict plastid in human and animal parasites (PMID 8632819). Apicoplasts are the target of the widely used antimalarial prophylactic doxycycline, which has saved many thousands of malaria infections.

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OpenAI's claim that this is a central conjecture in discrete geometry is not an exaggeration. This will I think be looked back on as the first time that AI solved a major mathematics problem (defined as a problem that all experts in some subfield had thought about). openai.com/index/model-...

An OpenAI model has disproved a central conjecture in discrete geometry

An OpenAI model solved the 80-year-old unit distance problem, disproving a major conjecture in discrete geometry and marking a milestone in AI-driven mathematics.

openai.com

Delighted to be back in Institut Pasteur de Dakar for the kick-off of our EDCTP3 supported PvSeroRDT consortium. We will develop a new diagnostic test for detecting P. vivax malaria hypnozoites and set up manufacturing capacity with Diatropix in Senegal. Enormous thanks to our Senegalese hosts 🇸🇳

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📣 I'm recruiting a postdoc researcher to join my team for a project on mosquito-specific viruses and host interactions. Peep the job description & how to apply below. Perfect for soon-to-be or recent PhD graduates in mosquito vector biology 🦟 or arbovirology 🦠 🗓️ Application deadline 31 August 2025

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This work began in 2019 during my PhD, with the help of @drshaziaruybal.bsky.social. After navigating a pandemic, finishing my PhD, and changing labs, I am pleased to share our work on a modest #ampseq panel for #P.vivax. This panel is designed to facilitate molecular corrections in clinical trials

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medRxivpreprint@medrxivpreprint.bsky.social · last yr.

Understanding Plasmodium vivax recurrent infections using an amplicon deep sequencing assay, PvAmpSeq, identity-by-descent and model-based classification https://www.medrxiv.org/content/10.1101/2025.05.26.25327775v1