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.

Get involved in the YoungNMC network!

Want to become a member of the YoungNMC? Signing up is easy.

Send us an email at, 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
Expertise area
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.

A more detailed privacy policy can be found at the bottom of the page.


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) 
  • Computational approaches 
    • Text mining
    • Chem(Bio)Informatics
  • Research areas
    • Mammalian
    • Nutrition 
    • Plants
    • Pharmacology


The first YoungNMC symposium was held in Amsterdam on 27 September 201. Read more aboute the event, please click here.

Committee members

Justin J.J. van der Hooft - Chair 

Wageningen University & Research (WUR), Wageningen, the Netherlands
Twitter: @jjjvanderhooft

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.

Denise Slenter

Maastricht University (UM), Maastricht, the Netherlands
Twitter: (@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.


Corey Griffith

Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg


Twitter: @coreymgriffith 

Metabolomics research in one line: Nontarget LC-MS screening of fluorometabolites and metabolite damages. 
Expertise: NMR, Nontarget LC-MS, Toxicology


Corey is currently a Postdoctoral Researcher in the Enzymology and Metabolism (Carole Linster) and Environmental Cheminformatic (Emma Schymanski) groups at the Luxembourg Centre for Systems Biomedicine. He earned his PhD in Environmental Toxicology at the University of California, Riverside where he studied environmental metabolomics and elucidated unknown metabolites using NMR and MS in earthworms. He is currently researching metabolite repair and nontarget LC-MS for the EU H2020 project SinFonia, which aims to engineer Pseudomonas putida to produce fluorinated biopolymers from sodium fluoride and sugar. Specifically, he is developing nontargeted methods to screen and annotate novel fluorometabolites, in addition to evaluating the metabolite damage response to the extensive metabolic rewiring.

Sandrien Desmet

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.


Bert Wouters

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.


Purva Kulkarni

Translational Metabolic Laboratory, Radboud University Medical Centre, Nijmegen, the Netherlands
Expertise: computational metabolomics, mass spectrometry (MS) data analysis pipeline development, MS-based diagnostics in inborn errors of metabolism
List of publication:
Twitter: @Purva_Kulkarni

Metabolomics research in one line: Development of computational MS-based data analysis pipeline and methods for application in diagnostics of inborn  errors of metabolism
Purva received her PhD in Bioinformatics from the Max Planck Institute of Chemical Ecology and the Friedrich Schiller University, Jena (Germany) in September 2018. As a part of her PhD project, she developed computational algorithms to analyze mass spectrometry imaging data. She then moved to the Netherlands Institute of Ecology, Wageningen (The Netherlands) to start her first postdoctoral position where she established computational workflows to analyze metabolomics data originating from GC/MS and imaging mass spectrometry experiments. Her core long-term interest lies in developing and applying a range of bioinformatics, machine learning and data analysis approaches to interpret MS based -omics data. As a part of her current research at TML, her focus is on building data interpretation algorithms and robust computational workflows that can help identify disease-related signals from untargeted MS-based metabolomics and glycoproteomics data with direct application in personalized patient diagnostics for inborn errors of metabolism. As a part of her daily work, Purva leads the Bioinformatics activities within TML. She is also a part of the Netherlands X-omics initiative and the United for Metabolic Diseases (UMD) initiative. Since year 2020, she is also serving as a committee member of the Early-career members Network (EMN) of the Metabolomics Society.


Youzhong Liu

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.




Yorrick Jaspers

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.





YoungNMC Privacy Policy

This privacy policy is valid for the YoungNMC network. It is important to note that whilst YoungNMC is part of the Netherlands Metabolomics Center (NMC) the YoungNMC privacy policy does not extend to the entire NMC in any manner.


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.

Data Protection

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.

Your rights

You have the right to obtain, upon request, information about the personal data which are stored about you free of charge. You also have the right to demand that false data be corrected or deleted. You have the right to restrict the processing of your data, the right to object to processing, and the right to data portability or sharing. If you have consented to our processing of your data, you can revoke this consent at any time, taking effect from the time of revocation. You also have the right to file a complaint with a data protection authority about the processing of your data by us. 

Service Providers

We may employ third party companies and individuals to facilitate our service (e.g. Implementation Networks coordination, outreach and linking, including but not limited to mailings and events organisation) to provide the service on our behalf, to perform service-related services or to assist us in analysing how our service is used.

These third parties have access to your Personal Data only to perform these tasks on our behalf and are obligated not to disclose or use it for any other purpose than as mentioned above.

Contact us

You can contact us if you have questions related to our privacy policy. You have the right to review your personal data. In addition, you can ask us to modify or delete your data. To do so, please contact us at