Combining statistical physics, nonlinear dynamics, and machine learning to understand the universal principles that govern complex biological networks

Uncover how random damage drives transcriptional deregulation in aging through network breakdown

Understanding the complex, multi-scale interactions among physiological systems and their dynamic behavior under varying conditions

Uncover how changes in the microbiome influence health and disease—laying the groundwork for early diagnostics and microbiome-based therapies

Unveiling the hidden relations between different diseases with cutting-edge data science and health records