Summary
Justin Van Der Hooft is an assistant professor in computational metabolomics at Wageningen University, based in the Netherlands, weaving together metabolomics, genomics, and natural language processing to unlock the chemistry of complex biological mixtures. With 9 years in academia and a PhD from the Netherlands Metabolomics Centre, he leads efforts to improve metabolite annotation and bridge spectral data to biochemical function and genotype. His research uniquely blends NLP-inspired techniques, such as topic modeling and word embeddings, with metabolomics to reveal substructures and connections between biosynthetic gene clusters and molecular spectra. He focuses on impactful applications in the plant root microbiome and the human food metabolome to understand growth, health, and nutrition. A cross-disciplinary thinker with a track record from Glasgow Polyomics to Wageningen, he is driven to make metabolomics data not just interpretable, but chemically interpretable.
10 years of coding experience