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Computational and Data-Driven Science


The Computational and Data Driven Science research theme brings together multidisciplinary researchers who apply innovative computational approaches for the integration, analysis, and interpretation of new and repurposed data to gain value and scientific leads from the enormous quantities and diversity of data available.  

We provide diverse research expertise in machine learning, image analysis visualization, and digitalization, statistics and data visualisation, bioinformatics, biostatistics, computational chemistry and biophysics.  

Our studies involve using a multi-omics approach to understand diseases, ageing and treatment resistance. Supported by our HPC infrastructure, we apply machine learning to a range of bioimaging data to better understand the characteristics of tissues, cells, and life systems. We use supercomputers to perform large-scale molecular modelling of complex chemical and biological systems. We have substantial experience in novel digitalization and visualization techniques for heritage science.  

We are driven by research excellence, open science and our impact on  sustainable social, economic development and healthcare. 

Bioinformatics image (proteomics)

Recent News

New externally funded project:
Bone Cancer Research Trust: ”Lead optimisation of a tumour-targeted methotrexate prodrug with enhanced therapeutic index for osteosarcoma.” Investigators: Prof R.A. Falconer, Prof P.M. Loadman, Dr S.D. Shnyder
The project will start in January 2023 and will run for 3 years. The total funding is £249,760.

Northern Bioinformatics User Group (Northern BUG) meeting
This September the Faculty of Life Sciences Computational and Data-Driven theme and Bradford HPC Service hosted the Northern Bioinformatics User Group (Northern BUG) meeting. At Norcroft Conference Centre, the community presented 10 short talks on HPC, workflow management systems such as Nextflow and Galaxy, clinical bioinformatics, FAIR data analysis and data stewardship training and community of practice.
Four staff members (Martin Wolstencroft, Khaled Jumah, Sara Morsy and Xenia Perez Sitja) presented their work at the event, together with Katarzyna Kamieniecka, UoB PhD student and senior computational biologist at CRUK/University of Manchester. The values of the University were also highly represented at the meeting. Parity numbers were outstanding, with 47% female attendees, accessibility considerations for parents and neurodivergent attendees, and a broad catering menu was offered for maximum inclusion. Given the success of the return of these community events, the University of Bradford positioned itself as one of the leading voices in this North of England bioinformatics community.
If you want to join the community, you can subscribe to the NorthernBUG Google Group.

Research expertise

The research in the Computational and Data Driven Science research theme comprises specific knowledge and expertise in a range of subjects. Please contact the research theme leads for more information or to discuss potential collaborations.

Research Leads

The theme is led by a Director of Research and two deputies who are jointly responsible for the scientific direction of the theme.

Research theme members

The Computational and Data-driven Science theme consists of several research groups working together to perform collaborative, multi-disciplinary research.

Visit our Research theme members page.