About the UCL Centre for Computational Medicine

Imaging driven models

CCM develops imaging pipelines that capture tissue structure and function across scales, then links these measurements to mechanistic models. This includes microvascular networks, tissue oxygenation and drug delivery, as well as whole organ imaging.

Experimental data constrain models so that they remain biologically and clinically grounded, while models help interpret complex imaging signals in terms of underlying physiology.

Digital twins for medicine

Using physics based models, data assimilation and machine learning, CCM builds digital twins of tissues and organs. These personalised models aim to capture individual variation and disease progression, supporting prediction of treatment response or risk.

Template models are informed by population data then adapted to individual patients as more information becomes available through imaging, biomarkers and clinical measurements.

AI and data centric methods

Machine learning methods at CCM include image segmentation, representation learning, generative modelling and surrogate modelling for complex simulations. These approaches complement physics based models and help capture patterns that are hard to express analytically.

The centre emphasises transparent, robust models that can be interrogated, linked to mechanisms and evaluated fairly across populations.

Joining the Centre for Computational Medicine means becoming part of a collaborative, interdisciplinary community that links imaging scientists, computational modellers, AI researchers and clinicians across UCL. New members work within an environment that encourages shared problem solving and open scientific development.

Researchers regularly combine advanced imaging, physics-based modelling and machine learning, gaining exposure to state-of-the-art MRI, OCT, microscopy and multiscale simulation pipelines. Cross-training is supported, and researchers are encouraged to develop independence while working within team-based projects.

The Centre provides access to UCL’s high-performance computing ecosystem, including ARC GPU nodes and the Condenser on-prem cloud, supporting large-scale modelling, generative AI and digital-twin development. Many projects link directly to clinical or industrial partners, offering clear routes to translational impact.

Above all, CCM maintains an open, supportive research culture where people share tools, code and expertise. New researchers can expect a friendly, ambitious environment focused on high-quality computational science with real-world relevance.