Current
| Name | Position | Topic | Project | Collab. | Funding | Year |
|---|---|---|---|---|---|---|
 |
Group leader | 2017-present | ||||
 |
Postdoctoral researcher | [computational] modelling of single-cell response to proton therapy | PROTON-SINC | Erasmus MC (Chien) | Convergence | 2020-present |
 |
Postdoctoral researcher | [experimental] modelling of single-cell response to proton therapy | PROTON-SINC | Erasmus MC (Chien) | Convergence | Oct 2020-present |
 |
Guest postdoc | longitudinal analysis and prediction models epigenetic effects of stress & trauma exposure in rhesus monkeys |
Harvard/Göttingen (Klengel) | 2019-present | ||
 |
PhD candidate | learning paradigms prediction of candidate targets for anticancer therapy |
ONCOTARGETS | INSY/TU Delft | Sep 2020-present | |
 |
PhD candidate | representation learning mechanisms of proton-induced DNA damage response |
PROTON-DDR | LUMC, Erasmus MC (Tijsterman, Kanaar, Reinders) | HollandPTC | Sep 2020-present |
|
|
MSc student (CS) | ML algorithm bias prediction of synthetic lethality in cancer |
2019-present | |||
 |
MSc student (CS) | feature engineering prediction of DNA repair pathways from DNA scars |
LUMC | 2019-present |
Alumni
| Name | Position | Topic | Year |
|---|---|---|---|
 |
MSc student (Computer Science) | multitask learning of gene essentiality in cancer cell lines | 2018-2019 |
 |
MSc intern (Nanobiology) | inference of regulation from variation in single-cell gene expression | 2018-2019 |
 |
BSc student (Nanobiology) | reconstruction of cell lineages using CRISPR recorders | 2019-present |
|
|
BSc student (Nanobiology) | single-cell gene expression prediction in pooled CRISPR screens | 2018-2019 |
 |
BSc student (Life Science and Technology) | prediction of gene essentiality in cancer cell lines | 2017-2018 |
 |
BSc student (Nanobiology) | analysis of DNA end structures generated by CRISPR-Cas9 | 2017-2018 |