The Computational Physiology and Clinical Inference Group develops and applies computational models of human physiology for clinical monitoring and inference. Our current research focuses on cardiovascular, cerebrovascular, respiratory and neurological applications.


Non-invasive intracranial pressure (ICP) Estimation
Disease Classification with Capnography
Assessment of brain-heart interaction via electrocardiography (ECG) variability

The group is led by Professor Thomas Heldt and Professor George C. Verghese

Visit the group’s website