Research group

BiOmics

Bar coded DNA sample

Technological advances have allowed scientists to gather large amounts of data about a vast array of species, organisms and single cells. Our researchers are using mathematical modelling, machine learning and other algorithms to extract information and patterns from large data sets to further our understanding of disease.

About

Contemporary scientific research benefits from rapid technological developments that enable the characterisation and quantification of biological molecules at unprecedented scale. Scientists can generate vast data that provide insight into the complex interplay of molecules within organisms. Interrogation and interpretation of these data inform the structure, function and interaction of molecules over time. 

We use ‘Omic technologies comprehensively to evaluate DNA (genomics), RNA (transcriptomics) and proteins (proteomics). We study small molecules using metabolomics. Microorganisms are investigated in a targeted manner using microbiomics or more broadly to characterise mixed samples using metagenomics.

At the University of Southampton, we generate vast datasets using these approaches across a wide range of environments and species. We work closely with NHS partners to use these capabilities to understand human disease and inform its clinical management. We bring together medical and biological scientists with mathematicians, computer and data scientists to develop and apply methods that exploit these data to their fullest potential.

From analysing patient genomes, to carrying out metagenomic analysis of water samples to using mass spectrometry metabolic profiling techniques, our scientists are studying the unique processes that take place within cells that can lead to disease or poor health outcomes in humans and help track changes in the environment.   

We are using data to answer clinical questions in areas such as cancer, autoimmune and respiratory diseases with the help of clinical colleagues we are translating our findings into novel techniques for clinicians to treat their patients, make predictions about prognosis and drug responsiveness.

Our researchers collaborate with partners at:

Research highlights

People, projects and publications

People

Professor Stefan Bleeck

Prof of Hearing Science and Technology

Research interests

  • The intersection of hearing science, audiology, and signal processing
  • Bio-inspired auditory modeling
  • Speech intelligibility in noise

Accepting applications from PhD students

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Dr Stephan Onggo PhD, SFHEA

Professor of Business Analytics

Research interests

  • Simulation Modelling Methodology
  • Behavioural Modelling using Simulation
  • Simulation for real-time decision making (digital twin)

Accepting applications from PhD students

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Professor Stephen Beers

Professor of Immunology & Immunotherapy

Accepting applications from PhD students

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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

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Professor Stuart Clarke PhD FRCPath FFPH

Professor of M'biology and Public Health

Accepting applications from PhD students

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Professor Sue Latter

Professor of Health Services Research

Research interests

  • Medicines management
  • Prescribing
  • End-of-life medicines management
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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

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Dr Sylvia Pender

Associate Professor
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Dr Tess Maguire

Principal Teaching Fellow
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Professor Thanassis Tiropanis

Professor

Research interests

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

Accepting applications from PhD students

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Sarah Ennis
Professor of Genomics
We are at a very exciting time in Life Science Research. The potential for novel discovery using ‘omics technologies combined with the computer science methodologies is immense.

Related research institutes, centres and groups

Related research institutes, centres and groups

Contact us

Contact us

Contact the Institute for Life Sciences team by emailing: