Speakers
Description
Biology is no longer limited by ideas; it is limited by our ability to connect them. This minisymposium spotlights cross-disciplinary research that turns wet-lab and clinically derived measurements into mechanistic, testable mathematical and computational models — and back again. We will showcase studies where experiments and modelling are co-designed: data inform the model, the model makes falsifiable predictions, and new experiments close the loop.
Across diverse applications (from cell–cell interactions and tissue mechanics to immune dynamics and therapy response), speakers will demonstrate how theory can denoise data, expose hidden constraints, quantify uncertainty, reveal emergent behaviours that cannot be read off directly from components, and propose efficient next experiments — saving time, animals, and resources while improving biological insight and translational relevance. Alongside success stories, we will discuss practical strategies for collaboration: building shared vocabularies across fields, reproducible pipelines, and validation standards that make models trustworthy and reusable beyond a single lab.
Expect punchy talks, real datasets, and a clear message: the most powerful biology happens at the interfaces.
