prof. dr. Waegeman Willem
We are pioneering advanced machine learning techniques in microbiology, agriculture, ecology, animal production and biochemistry
As a consequence of the advent of high-throughput and internet-based technologies in the life sciences, vast amounts of biological data are currently generated and collected in almost all subfields of bio-engineering. Such applications generate a need for developing novel mathematical methods in processing and analyzing complex datasets and data sources. During the last decade machine learning and predictive modelling techniques have in this regard occupied a prominent role, as a novel tool kit for knowledge discovery in large, high-dimensional and noisy data.
Pioneering advanced machine learning techniques in fields like microbiology, agriculture, ecology, animal production, biochemistry, etc.