Analysis Technique: Machine learning
An alternative to traditional model building, inferring model structure from experimental data rather than being prescribed at the outset.
Related PhD Projects
Research Project: Bayesian inference of active Brownian motion
For the study of motile cells and other self-propelled particles it is often key to extract quantitative features from trajectories of these particles, both to quantify experimental trajectories and to parametrise theoretical models.
University of Göttingen, Germany
Research Project: Learning non-reciprocal interactions between migrating cells
Owing to their active nature, interactions between migrating cells can be non-reciprocal. However, the extent to which cells control their collective behaviour through non-reciprocal interactions remains unclear.
VU Amsterdam, The Netherlands