MChem, Ph. D.

Jonathan E. Hunter

Metabolomics Scientific Database Curator at EMBL-EBI, bridging laboratory analytical chemistry through computational mass spectrometry to advance open data reuse and FAIR principles.

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My expertise spans research domains and lifecycles - from marine lipidomics at Woods Hole Oceanographic Institution (including co-lead authorship in Science) and regulated, commercial bioanalytical chemistry at LGC, through to data science-driven curation and informatics infrastructure development.

Grounded in an MChem, a Ph. D. in phytoplankton lipidomics and a certification in Python Data Science I work at the intersection of metabolomics domain knowledge, analytical chemistry, and computational approaches. I am particularly focused on metabolomics data standards and scientific database development.

Selected papers

  1. Microbial dietary preference and interactions affect the export of lipids to the deep ocean
    Lars Behrendt*, Uria Alcolombri*, Jonathan E. Hunter*, and 11 more authors
    Science. *These authors contributed equally to this work. , Sep 2024
  2. Using High-Sensitivity Lipidomics To Assess Microscale Heterogeneity in Oceanic Sinking Particles and Single Phytoplankton Cells
    Jonathan E. Hunter, Helen F. Fredricks, Lars Behrendt, and 4 more authors
    Environmental Science & Technology, Nov 2021

Latest news & posts

post · LinkedIn · Aug 12, 2026
MetaboLights and AIBIO-UK workshop
Come visit EBI and join the discussion on the use of AI to further the metabolomics field
post · May 12, 2026
HUPO-PSI Spring Meeting, Rome
5–8th May 2026, Thoughts, Run-tourism, & MetabolomicsHub Poster
news · Sep 4, 2025
Happy to be recognised as "Co-author of the winning National Champion's research article for the Frontiers Planet Prize".
news · May 18, 2025
I am delighted to announce I have joined the Proteomics & Metabolomics team at the European Bioinformatics Institute (EMBL-EBI) as a Scientific Database Curator.
news · Feb 28, 2025
Take a look at my case study metabolomics data processing pipeline including modern methods such as deep learning based peak filtering (NeatMS) and GPU accelerated spectral database searching (SimMS).
news · Oct 2, 2024
Congratulations to Dr. Benjamin Van Mooy, my postdoctoral supervisor and mentor on his award of a prestigious MacArthur Fellowship, informally known as the “genius grant”.