From Data to Discovery: Chronobiology in Translation

Disruption of circadian rhythms is increasingly linked to a range of pathologies. To harness circadian biology for disease prevention and treatment, we must first establish causal relationships between rhythm disruption and the underlying clock mechanisms. This requires both the ability to quantify the “clock state” and to define what constitutes “disruption.” While significant progress has been made in model organisms, translating these insights to humans presents distinct challenges for quantitative chronobiology. In this talk, I will highlight how we have leveraged novel computational methods and high-throughput molecular datasets to begin addressing these obstacles.