Overview
In this project I help construct a comprehensive digital twin of the human immune system. Our goal is to assemble a virtual twin capable of predicting how immune response affects a person on different scales, from signalling pathways to metabolic processes and entire tissues. I’ve developed roughly 25 signalling models and continue to expand the repertoire of cellular components represented in the system – see mathematical multi-scale modeling.
The digital twin blueprint starts small—focusing on 20–25 key immune cell types—and iteratively grows to encompass every cell and physiological process. By coupling signalling and metabolism, we can explore how environmental cues and cellular state drive differentiation, activation and function. Ultimately, we envision using this virtual replica to predict responses to infections and therapies and to improve public health preparedness.