Data science

We're actively developing machine learning algorithms to model and manage large volumes of data – including high-dimensional and unstructured (images, networks and texts) and time-evolving data ­– to solve challenges for engineering, manufacturing and healthcare industry applications. Our research goes beyond data analytics, into decision support, automation and even fully autonomy.

Using large real-world datasets and simulations we apply deep learning and reinforcement learning techniques to address a wide array of challenging data-intensive applicationsarising in scientific and engineering domains including medical imaging, robotics and manufacturing. We collaborate widely within WMG, the wider academic community, and the Alan Turing Institute, to tackle applications that require a mix of simulation, robotics or other capabilities alongside our data science/AI expertise.