Biophysicist Rosemary Braun discusses uncovering patterns in biological complexity using large datasets. Topics include collective behavior within organisms, timekeeping and its implications, advancements in genomic sequencing and proteomics, gene expression and protein interaction variation, challenges of understanding gene functionality, the role of computers and machine learning in analysis, the use of large datasets in analyzing complex biological systems, circadian rhythms and their impact, the transcription-translation feedback loop in mammals and fruit flies, and analyzing complex systems and biological complexity.

In this podcast, Rosemary Braun discusses studying complex biological networks, circadian rhythms, and using machine learning to target treatments based on individual circadian rhythm. The episode explores the search for undiscovered rules in biology, dynamics of gene expression networks, resilience in circadian clockkeeping, and the impact of genetic variations on gene regulation.