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.


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

Agent-Based Modelling in Systems Pharmacology Tutorial Published

Posted on Tuesday 17 November 2015

Our paper describing the adoption of agent-based modelling in pharmacology, led by Jason Cosgrove and James Butler, has been published in CPT: Pharmacometrics & Systems Pharmacology

YCIL Members Invited to Speak at UK-Brazil Partnership Leishmania Meeting

Posted on Tuesday 10 November 2015

Paul Kaye, Mark Coles, and Kieran Alden have been invited to present YCIL's work on Leishmania at the Host:pathogen interactions workshop: Application of Computational Methods to Leishmania and other pathogens, in Rio de Janiero