Mission of the YoungNMC
The mission of the YoungNMC is to connect early-career metabolomics researchers from the BeNeLux. We want to enable this by organising several events, such as Young career symposia, lab tours, workshops and social events (drinks, BBQs, etc.)
The goals of these events are to get to know each other in a low key manner, learn from one another, build your own network within the Metabolomics Community, and find potential research partners for your own study.
The first YoungNMC symposium will be held in Amsterdam on 27 September 2019!
The YoungNMC committee is excited to announce their first symposium that will be held in Amsterdam on Friday 27 September 2019. For more information on the event and how to sign up, please click here.
Get involved in the YoungNMC network!
Want to become a member of the YoungNMC? Signing up is easy.
Send us an email at email@example.com, with the following information:
Name (+title if applicable)
Email adress on which we can contact you
Affiliation (University + research group + country)
Year of latest degree
Years of experience with metabolomics
By sending us the above information, you agree on being added to the mailing list of theYoungNMC. You can unsubscribe at any time.
Our network currently connects early-career researchers (MSc, PhD, PostDocs) from several disciplines related to metabolomics:
Wet lab (targeted and untargeted)
- Nuclear Magnetic Resonance (NMR)
- Mass Spectrometry (MS)
- Text mining
Justin J.J. van der Hooft - Chair
Wageningen University & Research (WUR), Wageningen, the Netherlands
Metabolomics research in one line: enhance metabolomics annotation tools to illuminate chemical diversity and novelty
Expertise: metabolite annotation, mass spectrometry fragmentation, metabolome mining
After obtaining his PhD at WUR on a Netherlands Metabolomics Center (NMC) funded project on systematic metabolite identification strategies using LC-MSn and NMR, Justin moved to Glasgow to work on various postdoctoral research projects including optimization of mass spectrometry fragmentation acquisition methods to enhance annotation of polar metabolites extracted from urine, beer, and bacteria. Furthermore, he also implemented GNPS Molecular Networking into Glasgow Polyomics workflows and together with Dr Simon Rogers (University of Glasgow, UK) developed MS2LDA, a substructure discovery tool for MS/MS-based metabolomics data.
During his time in Glasgow, Justin also was part of the Early-career Members Network (EMN) of the Metabolomics Society that he also chaired for a year. At the moment, he is part of the Board of Directors of the Metabolomics Society. He then moved back to Wageningen and is now working on a Netherlands eScience grant that aims to facilitate and explore the combined metabolome and genome mining analysis to accelerate natural product discovery.
Michel van Weeghel
Amsterdam UMC, location AMC, Amsterdam, the Netherlands
Metabolomics research in one line: Develop metabolomics tools to measure the dynamics in metabolism
Expertise: Metabolism in health and disease, mass spectrometry, ion mobility
After a study in biomedical sciences, Michel started a PhD in biochemistry and metabolic diseases at the AMC in Amsterdam and performed a postdoc in analytical chemistry at the university of Leiden. Currently, he is the manager of the Core Facility Metabolomics (CFM) at the Amsterdam UMC, location AMC. The focus of the CFM is to develop and improve analytical methods to measure a wide range of metabolites in several matrices. The ambition is to maintain and expand the CFM in terms of state-of-art instrumentation and personnel. The analytical focus will be on developing new strategies in the metabolomics research field, including the development of tracer-based metabolomics.
Michel believes that metabolomics will be able to help us understand metabolism in a broad sense and will be useful for several research disciplines, like metabolic diseases, oncology, immunology, endocrinology, and more. By developing these state-of-art metabolomics techniques we will be able to measure the severity of several metabolic diseases, which will help in predicting disease severity outcomes and will aid work on personalized treatments.
Maastricht University (UM), Maastricht, the Netherlands
Twitter: https://twitter.com/SMaLLCaT4Sci (@SmaLLCaT4Sci)
Metabolomics research in one line: Integration of pathway knowledge bases into graph databases to allow for automated metabolomics data visualisation
Expertise: Identifier mapping, pathway & network analysis, graph databases
Just finished the 2nd year of her PhD project at Maastricht University at the BioInformatics group BiGCaT, under the supervision of Dr. Egon Willighagen and Prof. Dr. Chris T. Evelo. The main focus of this research is integrating (more) metabolomics data with existing knowledge bases on metabolic pathways (e.g. WikiPathways, Reactome) in an automated manner. Experienced in working with graph databases (Neo4j), network visualisation tools (Cytoscape), Matlab, Python, Java and R. Before Denise started her PhD, she graduated from the Forensic Science Master (University of Amsterdam, UvA, NL) and the Education and Communication Master (University of Technology Eindhoven, TU/e, NL), direction Chemistry. She started her academic path with a BSc in Chemical Engineering at the TU/e.
Integrated Biobank of Luxembourg (IBBL), Dudelange, LuxembourgLuxembourg Center for Systems Biomedicine (LCSB), Esch-sur-Alzette, Luxembourg
Metabolomics research in one line: Microbiome-derived biomarkers for the diagnosis of Parkinson’s disease using an integrative multi-omics approach
Expertise: GC-MS, machine learning, multi-omics
Postdoctoral researcher in the Integrated Biobank of
Luxembourg (Luxembourg Institute of Health) and visiting researcher at the Ecosystems Biology Group (Wilmes group) from the Luxembourg Center for Systems Biomedicine (University of Luxembourg). He graduated from the University of Luxembourg in 2016 with a PhD in Biology (Metabolomics and Biobanking specialization). During his PhD, he investigated the impact of pre-analytical variations in human body fluids on mass spectrometry-based metabolomics data which enabled the establishment of high quality sampling and extraction protocols. Furthermore, he identified disease-specific metabolic signatures by machine learning algorithms applied on GC-MS based data in the context of Parkinson’s disease. His current research focus is the development of multi-omics diagnostic biomarker signatures based on stool samples collected from early-stage Parkinson’s disease patients.
VIB-UGent Center for Plant Systems Biology, Ghent, Belgium
Ghent University, Ghent, Belgium
Metabolomics research in one line: Development of dry and wet lab tools for the structural characterization of the secondary metabolome of biocrops
Expertise: LC-MS, structural annotation, preparative metabolomics
In 2014, she graduated as a Master of Science in Biochemical Engineering Technology at Ghent University. During her master’s thesis she worked on the optimization and validation of the toxicological screening of drugs in whole blood samples on HPLC-PDA at the National Institute for Criminalistics and Criminology (Brussels, Belgium). Following her master’s thesis she started working in the bio-energy and bio-aromatics group of prof. Wout Boerjan (VIB-UGent Center for Plants Systems Biology) to study the aromatic metabolism of poplar. In 2015, she obtained a FWO PhD scholarship which involves the structural characterization of the poplar secondary metabolome using both in silico methods and stable isotope feeding experiments.
Analytical BioSciences and Metabolomics, Leiden University, The Netherlands
Metabolomics research in one line: Developing automated, modular analytical platforms for high-throughput metabolomics.
Expertise: liquid chromatography; microfluidics; proteomics; high throughput; metabolomics
I have conducted my doctoral research at the Free University of Brussels under the supervision of Prof. Eeltink and Prof. Desmet. During my research, I developed advanced strategies for one-, two-, and three-dimensional LC and novel approaches to prototype microfluidic devices for high-pressure liquid chromatography. After my PhD, I started working as a postdoctoral researcher at the University of Amsterdam under the supervision of Prof. Schoenmakers, focussing on the development of a microfluidic immobilized-enzyme reactor implemented in-line in a high-throughput LC×LC workflow. Currently, I am working as a postdoctoral researcher at Leiden University in the group of Prof. Thomas Hankemeier on the topic of microfluidic sample-preparation and sample-transfer for NMR.
Translational Metabolic Laboratory, Radboud University Medical Centre, Nijmegen, The Netherlands
Metabolomics research in one line: Application of metabolomics in clinical diagnostics of inborn errors of metabolism
Expertise: diagnostics in inborn errors of metabolism, clinical interpretation of -omics data
Karlien performed het PhD at the department of Human Genetics at the Radboud University Nijmegen, where she studied the molecular mechanisms underlying ciliopathies using proteomic techniques. After her PhD, she did a residency in clinical chemistry at the Catharina Ziekenhuis Eindhoven. After obtaining her registration as clinical chemist, she pursued a specialization in the diagnostics of inborn errors of metabolism at the Radboud University Nijmegen, which she successfully completed in June 2018. She now is a part of the diagnostic staff of the translational metabolic laboratory of the Radboudumc Nijmegen, where her focus is on the implementation of metabolomics in clinical diagnostics of inborn errors of metabolism. The application of metabolomics will lead to the identification of novel inborn errors of metabolism, and will shed further light on disease mechanisms in known diseases.
Campus Middelheimm, Middelheimlaan 1,
Antwerpen University, Antwerpen, Belgium
Metabolomics research in one line: Non-targeted analysis and structural elucidation of metabolites in pharmaceutical and food products
Expertise: LC-MS, Structural annotation, Machine-learning, Wine chemistry
Postdoctoral researcher in Adrem Data Lab, University of Antwerpen. He received a joint PhD degree in food science at University of Burgundy (France) and Technical University of Munich (Germany). The title of his dissertation is “molecular evidence of wine yeast-bacteria interaction unraveled by non-targeted metabolomic profiling”. He continued his research for one year in microbial metabolomics and in data science applied to wine chemistry and to climate and terroir as a junior postdoc. In 2018, he entered ADReM data lab at University of Antwerp (Belgium) as a postdoctoral researcher in collaboration with Janssen Pharmaceutica (Beerse, Belgium). His current research interest is the development of automated methods for pharmaceutical compounds identification. His research approaches include building large mass spectral library from historical pharmaceutical data and machine learning models for metabolite substructure recommendation.
Wageningen University & Research (WUR), Wageningen, the Netherlands
Metabolomics research in one line: Developing untargeted GC-MS techniques for characterization of aroma in food products
Currently doing her PhD project at Wageningen University and Research (WUR) at the Bioscience Research group, under the supervision of Prof. Dr. Robert D. Hall. The main focus of her project is to develop untargeted metabolomics platforms to comprehensively characterize the aroma (volatilome) profile of complex food products. This project seeks to unravel the intricate relationships between complex molecular food composition and sensorial perception. After her studies (double BSc degree in Chemistry and Biochemistry), she worked as research assistant at WUR in 2015 where she specialized in the optimization of analytical platforms based on Mass spectrometry (LC-MS, GC-MS, LAESI-MS Imaging) for metabolomics purposes (Plant and Food sciences). Experienced in analytical chemistry, flavour chemistry, MS data interpretation, data preprocessing, data pretreatment and data analysis.
Amsterdam UMC, location AMC, Amsterdam, the Netherlands
Metabolomics research in one line: Development of mass spectrometry based lipidomics and metabolomics methods for the characterization of metabolic diseases.
Expertise: Mass Spectrometry, Lipidomics, MSMS, Ion mobility
Yorrick obtained his MSc in analytical chemistry from the University of Amsterdam and the VU University Amsterdam. During his studies he worked as an analyst at the Analytical Bioscience group of Leiden University where he applied metabolomics in various biomedical contexts. In 2018 he started his PhD in the Lipid Metabolism and Neurotoxicity group at the Laboratory Genetic Metabolic Diseases of the Amsterdam UMC under the supervision of dr. Stephan Kemp. His research is focused on the identification of new prognostic biomarkers for the genetic metabolic disease Adrenoleukodystrophy (ALD). In this context Yorrick develops new lipidomics and metabolomics methods using tandem mass spectrometry in combination with liquid chromatography and ion mobility. These methods are used to follow a large cohort of ALD patients hereby characterizing the complex biochemical changes that result from the multiple phenotypes of ALD with the aim of identifying biomarkers that can lead to personalized medicine.
We are YoungNMC: a network organization with non-commercial purposes that helps to connect early-career researchers within the metabolomics field. Our services facilitate workshops and other activities organised by the metabolomics research community in the BeNeLux area comprising the Netherlands, Belgium, and Luxembourg. As a network organization, we store personal data that are required todeliver our services or to meet legal requirements. This data needs to be stored indefinitely (or until explicitly asked to delete it), so that we can re-contact persons in the future to invite them for YoungNMC related events, distribute newsletters, and provide an overview of available metabolomics expertise amongst the network as means to stimulate contact within the network.
Protecting your privacy on our network is important to us. YoungNMCstores the following contact details: name and degree(s), email address, affiliation, year of latest degree, and expertise areas, of its participants as members of the YoungNMC network. YoungNMC processespersonal data in compliance with EU law (GDPR) and all other legal regulations that may apply. We use Google Drive to store contact details of members.
We need this the above-mentioned data to be able to organise events for the network, to extract and share available metabolomics-related expertise within the network, to assess the membership regularly and ensure YoungNMC remains a network of early-career scientists, and to communicate about the specific workshops or other activities for which participant register.
The YoungNMC members list is used to contact the members about the latest developments within our metabolomics network and to ask for input on organisational matters. Communications with you can be stored in e-mail boxes of our YoungNMC network. We can delete traces of communication with you upon explicit request.
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