Computational Life Sciences
Biological and medical research is changing, as we are generating significant amounts of data on very complex systems. A major challenge in the next decade is to extract useful information from vast amounts of biological data and to develop systems and computational models which through visualization tools can be used to investigate these complex dynamics of living organisms.
Computational Life Sciences is an interdisciplinary key research area, which combines biology and medicine with computer science. It relies on mathematics and software engineering to develop computational tools which together with software programmes are utilized for understanding large-scale biomolecular data. This research theme is working across multiple disciplines to develop systems to identify and interpret data that is generated from a wide range of fields in the life sciences, including but not limited to, biology, neuroscience, molecular and cellular biology and personalized healthcare.
Theme Lead
Professor of Medical Imaging
School of Computer Science
Professor Hamid Dehghani is Professor of Medical Imaging at the School of Computer Science and the Healthcare Technologies Institute (HTI). His research focusses on non-invasive imaging and measurement of physiological information from biological tissue.
As a part of his interdisciplinary work, Hamid is involved with the following University-wide activities:
- Telephone
- +44 (0) 121 414 8728
- Email
- h.dehghani@cs.bham.ac.uk
Theme Members
Lecturer of Computer Science
School of Computer Science
Dr Jinming Duan is a Lecturer in Artificial Intelligence in Medicine. His work focuses on cutting-edge machine learning methods for cardiovascular imaging. His PhD thesis focused on modern variational and partial differential equation (PDE)-based methods, with applications to image processing and analysis. He is a lead collaborator of the EPSRC SmartHeart Programme at University of ...
- Email
- j.duan@bham.ac.uk
Royal Society University Research Fellow and Birmingham Fellow
Department of Cardiovascular Sciences
Senior Lecturer of Computer Science
School of Computer Science
Dr Shan He is a Senior Lecturer in Computational Biology in the School of Computer Science, at the University of Birmingham. For more information, please see Shan's homepage.
- Email
- s.he@cs.bham.ac.uk
Assistant Professor in Computer Science
School of Computer Science
- Email
- j.jiao@bham.ac.uk
Senior Lecturer
School of Computer Science
Dr Max Little is a world-leading expert in signal processing and machine learning. His research in machine learning for digital health is highly influential and is the basis of advances in basic and applied research into quantifying neurological disorders such as Parkinson's disease. He has published over 60 articles in the scientific literature on the topic, two patents, and a textbook. He is an ...
- Email
- littlemz@bham.ac.uk
Honorary Senior Research Fellow
School of Computer Science
Iain Styles was a Professor of Computational Life Sciences in the School of Computer Science. His research interests are in the analysis of complex data from advanced imaging and analytical techniques to understand biological structures and processes, with particular interests in the analysis of single-molecule imaging experiments, automated analysis of mass spectrometry measurements, and image ...
- Email
- i.b.styles@bham.ac.uk
Interdisciplinary Professorial Fellow
Theme Lead (Systems Modelling and Quantitative Biomedicine) and Deputy Head of Department
Director, Centre for Systems Modelling & Quantitative Biomedicine
Department of Metabolism and Systems Science
- Telephone
- +44 (0)121 414 4066
- Email
- j.r.terry@bham.ac.uk
Interdisciplinary Professorial Fellow
Theme Lead (Systems Modelling and Quantitative Biomedicine) and Deputy Head of Department
Director, Centre for Systems Modelling & Quantitative Biomedicine
Department of Metabolism and Systems Science
- Telephone
- +44 (0)121 414 4066
- Email
- j.r.terry@bham.ac.uk
School of Computer Science
Birmingham Fellow
Turing Fellow
Institute of Microbiology and Infection
Dr Wheeler’s work focuses on the development of computational screening tools for identifying DNA from emerging biological threats, establishing genomic pathogen surveillance in resource-limited settings, One Health surveillance of antimicrobial resistance, and the ethical development of artificial intelligence (AI) for health applications.
- Email
- n.wheeler@bham.ac.uk