| L. Davey | Using artificial neural networks to uncover features in promoter sequences responsible for nonorthogonality in E. Coli | 2019 - 2020 |
| B. De Saedeleer | Combatting illegal timber trade using chemical fingerprints: the power of mathematics and mass spectrometry | 2019 - 2020 |
| S. Dierickx | Bayesian optimisation for modular design: BOMoD.jl | 2019 - 2020 |
| T. Ntumba | Prediction of water quality parameters of Flemish surface waters using machine learning techniques | 2019 - 2020 |
| S. Omar | Vochtdynamiek van biogebaseerde bouwmaterialen als levensduurbepalende parameter | 2019 - 2020 |
| M. Perneel | Gebruik van machine learning methoden voor het voorspellen van productiekengetallen bij melkvee | 2019 - 2020 |
| L. Pollaris | Protein secondary structure prediction using transformer networks | 2019 - 2020 |
| G. Tjon | Automative drinking water monitoring using flow cytometry data | 2019 - 2020 |
| L. Van de Sompel | Machine learning for empowering the bio-economy: using lower rade feedstocks for the production of fatty aids at an industrial scale | 2019 - 2020 |
| L. Van Waerebeek | How do temperature-nitrate interactions shape the sensitivity of a brown seaweed to global warming? | 2019 - 2020 |
| T. Vanneste | Predicting interactions between bacteria and their prophages based on genomic sequence data | 2019 - 2020 |
| B. Verfaillie | Pattern recognition in raman spectroscopy data for a faster labelling of subjects in multiple domains | 2019 - 2020 |
| J. Vermout | A data-driven approach to the design of new cocktail recipes | 2019 - 2020 |