Arin Wongprommoon
Arin Wongprommoon
(he/him)

Systems biologist & bioinformatician

About Me

I am a postdoctoral researcher at the Meliodosis Genomic Lab at the Mahidol-Oxford Tropical Medicine Research Unit in Bangkok, Thailand. I study melioidosis, a neglected tropical disease endemic to Thailand and other regions of southeast Asia, caused by the environmental bacterium Burkholderia pseudomallei. My work aims to uncover how the bacterial genome and changes in human host transcription explains why melioidosis outcomes are very varied among patients in the northeast Thailand.

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Interests
  • Risk modelling of neglected tropical diseases
  • Machine learning & data science
  • Software development in biological research
Education
  • PhD in Quantitative Biology

    University of Edinburgh

  • BA in Natural Sciences (Biochemistry)

    University of Cambridge

📚 My Research

I am a postdoctoral researcher at the Mahidol-Oxford Tropical Medicine Research Unit (MORU), working with Dr Claire Chewapreecha and Dr Emma Davenport at the Wellcome Sanger Institute to find the transcriptomic and genetic basis for the host-pathogen interaction of melioidosis which determines severe disease. Melioidosis is a neglected tropical disease, endemic to areas such as Northeastern Thailand and Northern Australia.

My further research interests include risk modelling and disease surveillance, including genomic surveillance, and how this fits in with public health, policy, and media. I’m also interested in best practices in developing software for biomedical research. My geek interests includes Linux and GNU Emacs. Doom Emacs is responsible for a lot of my life, including writing my thesis and this website.

Previously, my PhD at the University of Edinburgh was jointly supervised by Dr Diego Oyarzún and Prof Peter Swain. My project examined the metabolic oscillations in budding yeast using single-cell microfluidics.

Featured Publications
Recent Publications
(2025). Environmental detection of Burkholderia pseudomallei and associated melioidosis risk: a molecular detection and case-control cohort study. medRxiv.
(2024). Single-cell metabolic oscillations are pervasive and may alleviate a proteome constraint. bioRxiv.
(2024). Monitoring pathogens in wastewater. Nat Rev Microbiol.
(2022). Accuracy and data efficiency in deep learning models of protein expression. Nat Commun.
Recent & Upcoming Talks
Watch this space

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Arin Wongprommoon
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