Rosemary Braun

In this conversation, Rosemary Braun, an associate professor of molecular biosciences, unpacks the mysteries of biological complexity. She discusses how biological organisms, despite their seemingly chaotic parts, function seamlessly. Braun highlights the intersection of machine learning with biological research, showcasing how vast datasets shed light on gene expression and circadian rhythms. The dialogue also touches on the challenges of interpreting genetic information and the fascinating ways our internal clocks affect health and metabolism.

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.