Computational Cancer Biology
We aim to understand treatment response in model systems and patients. We focus on three themes. In Theme 1, ‘Cell decisions’ we use single cell perturbation and longitudinal profiling to infer the regulatory machinery that controls cellular state transitions.
Theme 2, ‘Cell maps’, maps the regulatory circuitry in cells through network inference on large scale screens and experimental validation.
Finally, in Theme 3, ‘Treatment response’, we aim to design optimal treatment (combinations) by understanding single and combination treatment response based on pre- and on-treatment measurements.