معرفی
Willem Waegeman is an Associate Professor at the Department of Data Analysis and Mathematical Modelling within the Faculty of Bioscience Engineering at Ghent University. He is affiliated with the Knowledge-based Systems research unit KERMIT.
- Research Focus: Machine Learning, Data Science, Multi-target Prediction, Deep Learning, Sequence Models, Time Series Analysis
His research spans theoretical developments and practical applications in life sciences, addressing challenges in uncertainty quantification, hierarchical classification, and multi-target learning. Recent work emphasizes epistemic uncertainty, conformal prediction, and transformer architectures for biomedical data.
Publications from 2025 highlight applications in drug discovery, microbial analysis, and climate modeling, with methodological innovations in uncertainty-aware learning and multi-modal data integration.
