Diagram represents a network of applications by Institute for Life Sciences Members for collaborative projects.
Institute for Life Sciences

Our people

Our strength lies in our interdisciplinary collaborative network which is made up of over 430 academic members from across all the University’s faculties.

Professor Stephen Beers

Professor of Immunology & Immunotherapy

Accepting applications from PhD students

Connect with Stephen

Professor Steve Darby

Associate Dean Research

Research interests

  • River and coastal flooding - relationships between geomorphology and flooding in rivers and deltas
  • Biogeomorphology - interactions between river processes and life
  • River bank erosion processes

Accepting applications from PhD students

Connect with Steve

Dr Steven Glautier

Associate Professor
Connect with Steven

Professor Stuart Clarke PhD FRCPath FFPH

Professor of M'biology and Public Health

Accepting applications from PhD students

Connect with Stuart

Professor Sue Latter

Professor of Health Services Research

Research interests

  • Medicines management
  • Prescribing
  • End-of-life medicines management
Connect with Sue

Professor Sumeet Mahajan MSc, MTech, PhD, FHEA, FRSC

Prof of Molecular BioPhotonics & Imaging

Research interests

  • New chemical biology methods based on Raman spectroscopy and label-free imaging
  • Methodology and device development for commercialisation and clinical translation
  • Neuro-diagnostics and early detection of dementia and neurodegenerative diseases

Accepting applications from PhD students

Connect with Sumeet

Dr Sylvia Pender

Associate Professor
Connect with Sylvia

Dr Tess Maguire

Principal Teaching Fellow
Connect with Tess

Professor Thanassis Tiropanis

Professor

Research interests

  • Decentralised information systems and infrastructures
  • Decentralised information retrieval
  • Data (and Web) observatories

Accepting applications from PhD students

Connect with Thanassis

Professor Thomas Blumensath

Professor

Research interests

  • I develop and study advanced algorithms that can solve challenging inverse problems by efficiently exploiting complex prior information. Using techniques from mathematics, statistics and machine learning, my work concentrates primarily on problems in x-ray tomographic image reconstruction and modelling.
  • I work closely with state-of-the-art imaging facilities (µ-VIS, the National Research Facility in Lab-based XCT, the UK’s synchrotron facility at the Diamond Light Source, and ISIS neutron imaging beamline) to find practical solutions to a range of important scientific problems from plant science to manufacturing.
  • My research interests cover areas such as: Theoretical and computational methods for Signal and Image Processing (Machine Learning, Compressed Sensing, Statistical Signal and Image Processing, Quantum Computing, Inverse Problems, Optimisation, X-ray Tomographic Imaging); Advanced tomographic imaging strategies: (limited angle tomography and laminography, Spectral X-ray imaging, Stereo and extreme limited view tomography); Efficient computational methods for tomographic reconstruction, including GPU acceleration, distributed computation and advanced optimisation strategies, Constrained optimisation for ill-conditioned and underdetermined   tomographic inverse problems, Applications of X-ray tomography to the inspection of manufactured components, Multimodal tomographic imaging

Accepting applications from PhD students

Connect with Thomas