| H. B. Karaaslan | Leveraging probabilistic programming in causal inference for precision medicine | 2022 - 2024 |
| M. Fatjanov | The potential of hyperdimensional computing for protein sequence representation | 2022 - 2023 |
| Y. Bae | Drug-drug interaction prediction for side effects, diseases, and cell lines using three-step kernel ridge regression | 2021 - 2022 |
| J. De Landsheere | Data-driven prediction of pharmaceutical granules' size | 2021 - 2022 |
| W. Decrop | Computational prediction of bacteria-phage interactions of Escherichia coli through omics data analysis and machine learning
| 2021 - 2022 |
| D. Snoeck | A data-based view for brewing | 2021 - 2022 |
| B. Spanoghe | Probabilistic programming for Bayesian modeling and its applications in biology | 2021 - 2022 |
| W. Van Belle | Automating the design of biological robots using MAP-Elites | 2021 - 2022 |
| S. Van Hoye | Evolution and design of metabolic networks using quality-diversity optimization algorithms | 2021 - 2022 |
| S. Van Parys | BIOBOTS: a new type of multicellularity | 2021 - 2022 |
| Q. Q. Li | Applications of differentiable dynamic programming in biology | 2020 - 2021 |
| T. Ntumba | Prediction of water quality parameters of Flemish surface waters using machine learning techniques | 2019 - 2020 |
| T. Vanneste | Predicting interactions between bacteria and their prophages based on genomic sequence data | 2019 - 2020 |
| J. Vermout | A data-driven approach to the design of new cocktail recipes | 2019 - 2020 |
| A. Deloose | Acoustic monitoring of bats with self-organizing maps | 2018 - 2019 |
| S. Taelman | A dual computational approach to map domain architecture in phage lytic proteins | 2018 - 2019 |
| L. Hoebeke | Automated recognition of people and identification of animal species in camera trap images | 2017 - 2018 |