Carel Peeters

Carel Peeters is an Associate Professor in the Mathematical and Statistical Methods (Biometris) department at Wageningen University & Research. His research focuses on statistical methodologies applied to agricultural, biomedical, and genomic data. Key areas include Bayesian modeling of methane emissions in livestock, metabolomic and proteomic profiling in neurodegenerative diseases, and multi-omic data integration using machine learning techniques. He collaborates on projects addressing dairy cow methane production monitoring, preterm infant microbiota dynamics, and genomic prediction in plant breeding.

Peeters has co-supervised numerous PhD projects, including studies on adaptive management in agriculture, latent factor representations in plant phenotypes, and causal learning for kwashiorkor etiology. His work integrates statistical innovation with real-world applications, such as developing the cubicle hood sampler for methane measurement and identifying CSF protein biomarkers for Alzheimer’s and Frontotemporal Dementia.

He is actively involved in interdisciplinary teams, contributing to open-access datasets on strawberry metabolomics and dementia biomarkers. His research outputs span high-impact journals in bioinformatics, agriculture, and neuroscience, emphasizing precision agriculture and personalized medicine approaches.