Dr. Justin Van Der Hooft

Assistant Professor

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Biography

Justin van der Hooft obtained his MSc in Molecular Sciences from Wageningen University. He took a PhD position in analytical biochemistry, developing methods for systematic metabolite identification and annotation using mass spectrometry and NMR techniques. He focused particularly on mass spectrometry fragmentation approaches to gather structural information on measured molecules. After obtaining his PhD in 2012, Justin worked in Glasgow on postdoctoral projects related to epicatechin bioavailability, drug screening, and bacterial metabolomics. In 2017, he returned to Wageningen to start a joint postdoc with Prof. Pieter Dorrestein’s group at UCSD and Dr. Marnix Medema’s group at WUR, focusing on combining genome and metabolome mining. In 2018, Justin started a three-year grant from the Netherlands eScience Center to further expand his work on metabolome mining, aiming to accelerate the deciphering of complex metabolic mixtures. He is an active member of the Metabolomics Society and was part of the founding committee of the Early-Careers Members Network. He has also served on the Board of Directors and Strategy Task Group of the Society. In 2020, he began building his own research group as an assistant professor in computational metabolomics at Wageningen University.

Research Interests

Experience

Postdoctoral Researcher

2017-09-01 — Present

Wageningen University • Wageningen

Worked on combining genome and metabolome mining.

Assistant Professor

2020-01-01 — Present

Wageningen University • Wageningen

Building a research group focused on computational metabolomics.

Requirements for Wageningen University

Master Program
Requirements
GPA Requirement
Required:2.8
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:22
Total
Required:90
PTE
Listening
Required:59
Reading
Required:59
Writing
Required:59
Speaking
Required:59
Overall
Required:62
Prerequisites
Bachelor's degree or equivalent in a field of science relevant to the selected programme Sufficient academic performance (unweighted average 70% or 7.0/10.0) Basic knowledge of Statistics and Mathematics
Application Checklist
  • Bachelor's degree certificate (or recent transcript if not graduated)
  • Transcript of academic records
  • Proof of English proficiency
  • Curriculum Vitae (max 2 pages)
  • Statement of Purpose (optional but recommended for specializations)
  • Copy of passport
Specialization Notes

Master's programs are 2 years (120 ECTS). Admission decisions are usually issued within 6-8 weeks.