Metabolic cybernetics is a quantitative approach to understanding how biological systems maintain balance in the face of changing environments. While human metabolism evolved to survive scarcity, modern lifestyles now drive widespread metabolic disease.
Our research combines human genetics, physiology, and large-scale molecular data to uncover the causal mechanisms that regulate metabolic health. We focus on dynamic responses to stress, meals, exercise, and environmental change, and how these are shaped by genetic diversity.
By integrating multi-omic data, particularly rapid signalling events captured through phosphoproteomics, we aim to build a predictive model of metabolism.
Our team brings together interdisciplinary expertise to tackle one of biology’s central challenges: understanding how complex metabolic systems are regulated, and how they can be restored.
