An Interdisciplinary Team of Researchers Seeking to Advance Immunology Through Modelling and Simulation


Utilising wet-lab approaches to understand liver sections for simulation, highlighting central veins.

‌Simulating a sinusoidal structure populated with hepatic granuloma formations

Inspiring Confidence in Hypotheses Generated Through Simulation

York Computational Immunology Lab

Our Mission

‌Combining the insight and knowledge of immunologists, engineers, computer scientists and mathematicians, the University of York's Computational Immunology Lab (YCIL) investigates complex immune processes through the development, implementation and interpretation of computer simulations.

This interdisciplinary research team employs state-of-the-art wet-lab and imaging techniques in conjunction with computational, mathematical and statistical methods to inform the design of future biological experimentation and to enhance understanding of the mechanisms of disease whilst at the same time helping to reduce the number of animals used in research.


Model-Driven Experimentation Perspective Paper Accepted

Posted on Monday 19 December 2016

A new perspective article on the use of model-driven experimentation in exploring the formation, function, and therapeutic resolution of tertiary lymphoid tissues has been accepted for publication by Frontiers in Immunology

Engineer's Guide to Exploring Rationale in Systems Pharmacology Models Accepted for Publication

Posted on Sunday 13 November 2016

Our latest tutorial paper on building confidence in Quantitative Systems Pharmacology models has been accepted for publication in CPT Pharmacometrics & Systems Pharmacology

Paper Published in IEEE Transactions on Computational Biology and Bioinformatics

Posted on Wednesday 27 January 2016

Recent Work on Biphasic Biological Models Accepted for Publishing in IEEE Journal