Advanced machine learning techniques

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 bioscience engineering.

Such applications generate a need for developing novel mathematical methods in processing and analysing 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.

Contact

Prof. Willem Waegeman