Computational Life Sciences

Life SciencesBiological 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 Hamid Dehghani

Professor Hamid Dehghani

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

 

Dr Max A. Little

Dr Max A. Little

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

Professor Ela Claridge

Professor Ela Claridge

Professor of Medical Image Analysis

School of Computer Science

Ela Claridge is a Professor of Medical Image Analysis. She established a successful Medical Imaging and Image Interpretation Group which is internationally known for the development of novel computational image analysis methods and non-invasive light-based imaging. Her interdisciplinary research involves collaborations extending to medicine, biosciences, physics of image formation and human ...

Email
e.claridge@cs.bham.ac.uk

Dr Jinming Duan

Dr Jinming Duan

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

Dr Shan He

Dr Shan He

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

Professor Iain Styles

Professor Iain Styles

Professor of Computer Science

School of Computer Science

Iain Styles is 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@cs.bham.ac.uk

Professor John Terry

Professor John Terry

Interdisciplinary Professorial Fellow
Director, Centre for Systems Modelling & Quantitative Biomedicine
Theme Lead Systems Modelling & IMSR Deputy Director

Institute of Metabolism and Systems Research

Professor John Terry is Interdisciplinary Professorial Fellow: a post he holds jointly across Mathematics, Computer Science and the Institute for Metabolism and Systems Research. John’s research transcends traditional discipline boundaries speaking to mathematics, computer science, physics, biology, biomedical and clinical sciences. John has substantially contributed to approaching 70 ...

Telephone
+44 (0)121 414 4066
Email
j.r.terry@bham.ac.uk