Life Sciences

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Research activity

Current life science research activity across QMUL, listed by Faculty and School.

Humanities and Social Science

School of Languages, Linguistics and Film

School of Geography

School of Law/Centre for Commercial Law Studies

School of Business and Management

  • Business models in biopharma, accounting for how
complex stakeholder relationships operate to structure the viability of this business model at various stages along the product development and deployment cycle: from ideas generation funding, SME financing / IPO stock listing, to Big-Pharma. (Colin Haslam, Nick Tsitsianis)

School of History

Medicine and Dentistry

Blizard Institute

William Harvey Research Institute

Wolfson Institute of Preventive Medicine

  • Centre for Psychiatry: biological models of mental and physical illness, population perspective on risk factors for mental illness and trial evaluation of therapies and translation and implementation of these therapies to east London populations

Science and Engineering

School of Biological and Chemical Sciences

School of Electronic engineering and Computer Science

School of Engineering and Materials Science

  • Institute for Bioengineering, mechanobiology, implants, biosensing and health monitoring systems, biomaterials and biointerfaces, including delivery systems, controlled release, biocompatible surfaces
  • Materials Institute, polymer and composite materials for interface with biological matter, nanostructured functional materials for tissue scaffolding

School of Physics and Astronomy

  • Particle Physics Research Centre, one of the largest UK sites in GridPP – the worldwide computing network that analyses the huge data flow from the Large Hadron Collider, breadth and depth of High Throughput and High Performance Computing knowledge, data analysis pipelines and significant expertise in processing, mining and combining large data sets

School of Mathematics

  • Networks – neural networks, molecular networks, prebiotic evolution, synchronisation of networks, adaptive networks, epileptic brain nets (Vito Latora, Ginestra Bianconi)
  • Cell migration dynamics: statistical analysis and biophysical modelling of organisms and cells (Rainer Klages)
  • Modelling in trauma and cancer: stochastic growth models, large fluctuation theory (Malwina Luczak, Alexander Gnedin)
  • Statistics of cell genomics: long range correlations, coding versus non-coding sequences, multi-fractal properties of DNA (Christian Beck)
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