News

Lab news

PhD defences, publications, tutorials and other highlights from the BioML lab.

Two new PhD researchers join the lab, working on AI for agriculture and on uncertainty-aware multimodal learning.

Lauren Theunissen defended her thesis "Addressing Uncertainty in Automatic Cell Type Annotation of Single-Cell Transcriptomics Data".

Gaetan De Waele defended his thesis "Self-supervised Transformers for Biological Data Modalities".

Sebastian Jimenez presented his research on epistemic uncertainty in ensembles and Bayesian neural networks at WUML 2025.

Willem Waegeman gave a tutorial on uncertainty in statistics and machine learning at the Arctic University of Norway.

Mira presented "Is Epistemic Uncertainty faithfully represented by Evidential Deep Learning methods?" at ICML 2024.

Nicolas Dewolf defended his thesis on conformal prediction methods for valid uncertainty quantification.

Our framework to verify the legality of wood was published in Nature Plants and supported a Belgian investigation into Russian wood imports.

Laure Van Den Bulcke defended her thesis on DNA metabarcoding and machine learning for impact assessments in the North Sea.

Dimitris Iliadis defended his thesis "Automated multi-target prediction with two-branch neural networks".

A tutorial on aleatoric and epistemic uncertainty in statistics and machine learning at ECML/PKDD 2023 in Torino.

Thomas Mortier defended his thesis "Efficient algorithms for set-valued prediction in classification".

Friederike Mey successfully defended her PhD thesis on synthetic biology, systems biology and machine learning.

2022

We are organizing a workshop on Uncertainty in Machine Learning in Ghent in February 2023.