Michael Vollenweider

This paper introduces SBB principles to evaluate virtual cell perturbation models, showing that complex methods often fail to outperform simple baselines.

This paper develops a method to track microfluidic droplets over time using optimal transport and contrastive learning, achieving high accuracy in tracking without labeled data.