Team
The people behind BioML
Researchers with backgrounds in mathematics, computer science, bioscience engineering and bioinformatics, united by an interest in reliable machine learning.
Principal Investigator
Willem Waegeman
Associate Professor · Principal Investigator
Associate Professor at the Faculty of Bioscience Engineering, Ghent University, where he leads the BioML group. His research focuses on the development of machine learning methods for the life sciences, with particular interest in multi-target prediction, uncertainty quantification and probabilistic models.
PhD researchers
Alumni
Former members
Researchers who obtained their PhD or worked in the lab, and moved on to academia and industry.
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Gaetan De Waele
PhD 2025 · Self-supervised transformers for biological data modalities
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Lauren Theunissen
PhD 2025 · Addressing uncertainty in automatic cell type annotation of single-cell transcriptomics data
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Laure Van Den Bulcke
PhD 2024 · DNA metabarcoding and machine learning for impact assessments in the North Sea
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Nicolas Dewolf
PhD 2024 · Conformal prediction methods for valid uncertainty quantification
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Dimitris Iliadis
PhD 2023 · Automated multi-target prediction with two-branch neural networks
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Thomas Mortier
PhD 2023 · Efficient algorithms for set-valued prediction in classification
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FM
Friederike Mey
PhD 2023 · Synthetic biology, systems biology and machine learning for chitooligosaccharide production
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CP
Christina Papagiannopoulou
Former PhD researcher
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JC
Jim Clauwaert
Former PhD researcher
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MS
Michiel Stock
Former PhD researcher
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PR
Peter Rubbens
Former PhD researcher
Looking for our master thesis students? See the thesis overview.
Join us
Interested in a PhD or postdoc position?
We are always looking for motivated researchers with a background in machine learning, statistics, mathematics or bioinformatics. Master students can also do their thesis in the lab.
Our research is made possible by support from
