People
Peter Bram t Hoen
Peter-Bram 't Hoen full professor
Peter-Bram 't Hoen obtained his MSc degrees in Biochemistry and Pharmacochemistry from the Vrije Universiteit Amsterdam with distinction 'cum laude' and his PhD in biopharmaceutical sciences from Leiden University. From 2002-2018, he worked as postdoctoral researcher, assistant and associate professor in the department of Human Genetics at Leiden University Medical Center. He developed new approaches for the analysis of -omics data and the discovery of molecular signatures that can be used in disease diagnostics, disease progression and the response to therapy ('personalised medicine'). In 2018, he was appointed as professor of Bioinformatics at Radboudumc Nijmegen, where he is leading the Centre for Molecular and Biomolecular Informatics (CMBI).
Personal prizes & awards national & international
- 2010: Basic teaching qualification (BKO)
- 2005: NWO-VENI award
Additional functions
- Member Executive Management Committee of FP7 EU-funded project RD-Connect (2012 - present)
- Project co-lead Personal Health Train (2016 - present)
Additional functions
- Member Executive Management Committee of FP7 EU-funded project RD-Connect (2012-present)
- Project co-lead Personal Health Train (2016 - present)
- Chair program committee BioSB conference (2018)
- Board member of research working group European Reference Network on neuromuscular diseases (EURO-NMD, 2017 - present)
- Member of International Rare Diseases Research Consortium (IRDiRC) on data mining and drug repurposing
- Program manager LUMC's Research ICT program (2015-2017)
Social media
Field of study
CMBIResearch group Computational approaches to advance personalized medicine
Peter Bram 't Hoen's research group develops computational approaches that exploit molecular –omics data in combination with clinical data to better understand disease mechanisms and to advance patient diagnosis and stratification for therapeutic and life style interventions.
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Radboudumc Technology Center Bioinformatics
The Bioinformatics technology center aims to raise and solve biological questions using the most recent computer technologies and big data solutions.
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