**About the Editors**

**Justin J.J. van der Hooft** is Assistant Professor of Bioinformatics at Wageningen University, The Netherlands, and an author of over 60 peer-reviewed articles in the metabolomics field. His main expertise lies in metabolite annotation and identification using mass spectrometry-based and NMR-based spectral data and the application and development of computational metabolomics workflows to support this key bottleneck in metabolomics studies, in particular aimed toward natural product discovery. He obtained a BSc (2004) and MSc (2007) in Molecular Sciences (Wageningen University, NL). In 2012, he obtained his PhD at the Biochemistry and Bioscience groups in Wageningen. He then moved to Glasgow, UK, for postdoctoral positions with Prof. Alan Crozier and Prof. Michael Barrett, subsequently, where he coined MS2LDA substructure discovery with Dr Simon Rogers – thereby combining the field of natural language processing (NLP) with metabolomics analysis. In 2017, he took up a shared postdoctoral position between Dr Marnix Medema and Prof. Pieter Dorrestein on linking metabolome and genome mining workflows. In January 2020, he started his own group in Wageningen that will develop computational metabolomics methodologies to decompose complex metabolite mixtures into their (sub)structures and apply these workflows to study plant and microbiome-associated metabolites and the food metabolome. For example, Justin is pioneering the use of word-embedding NLP approaches to aid in metabolomics analyses, which resulted in the first machine learning-based mass spectral similarity score Spec2Vec. Another example is MolNetEnhancer, that combines the output of various mining and annotation tools to facilitate chemical exploration and analysis – as described in this book. Furthermore, this led to the establishment of Paired Omics Data Platform under his leadership, which will facilitate the combined analysis of genome and metabolome mining. Complex metabolite mixtures are still full of yet unknown metabolic matter that, once elucidated, will boost our insights in molecular mechanisms underpinning the regulation of growth, development, and health.

**Kati Hanhineva** is Professor of food development with a special focus on Nordic foods and health effects at the University of Turku, Department of Life Technologies, Food Chemistry and Food Development Unit, since the beginning of 2020. She also holds a Research Director position at the School of Public Health and Clinical Nutrition at the University of Eastern Finland and is a visiting scientist (Marie Curie MoRE2020 Fellow) at the Division of Food and Nutrition Science, Department of Biology and Biological Engineering at the Chalmers University of Technology, Gothenburg, Sweden. Hanhineva completed PhD her in Biotechnology at the University of Kuopio 2008. During years 2008–2014, she conducted postdoctoral research at the Department of Public Health and Clinical Nutrition at the University of Eastern Finland, with several research visits to the Weizmann Institute of Science in Israel. Since 2014, she has been the principal investigator in the food and nutritional metabolomics research group and led and participated in several national and EU-funded research projects, including Academy Researcher fellowship 2014–2019. Her main research focus is within the biochemistry of foods, especially phytochemical compounds and the effect of food processing such as fermentation on their composition. Likewise, molecular level understanding of the role of nutrition in maintaining good health and food–microbiota interaction are within the core of the research. The key analytical technology at the different stages of research is the mass spectrometry-based metabolic profiling that her group has developed and utilized for various foodand nutrition-related applications, in particular, within projects related to the beneficial health effect of whole grain-rich diets.
