A Living Digital Twin of the Human Immune System
We develop multiscale computational models that simulate, visualize, and predict immune behavior — from molecules to whole-body responses.
The immune system sits at the core of human health
Understanding immune behavior is essential for understanding health, aging, and diseases, predicting outcomes, and designing interventions. Yet, immunity is dynamic and complex - changing across individuals, time, context, and biological scale.
A unified, computational
model of immunity
We integrate molecular data, cellular interactions, tissue-level dynamics, and whole-system behavior into a cohesive digital model. This gives scientists, clinicians, and educators a new way to explore, simulate, and predict immune function at scale.
What Is a Biological Digital Twin?
One model. Multiple biological scales. Multiple mathematical and computational approaches.
The immune system spans molecules, cells, tissues, and organs, orchestrating responses in infections, autoimmune diseases, chronic illness, cancer, aging, and inflammation. Modeling this system requires multiple mathematical and computational approaches integrated across time scales from seconds to years.
Our Research
We conduct fundamental and translational research to understand how the human immune system operates across biological scales, integrating mechanistic models, experimental evidence, and clinical data while advancing how systems immunology and modeling are taught and learned."
Scientists, engineers, and innovators.
We are a multidisciplinary group working across immunology, computational biology, data science, and software engineering. Together, we are building the scientific and technological foundations of the immune digital twin.
