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

Dr Seung Lee

Associate Professor

Research interests

  • Chemical biology
  • Antimicrobial resistance
  • Glycan processing enzymes
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Professor Shane Norris PhD, MASSAf, FAAS

Professor of Global Health
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Dr Shelly Vishwakarma PhD

Lecturer

Research interests

  • Designing and developing hardware and software frameworks for contextual sensing applications
  • Concurrent physical activity recognition and indoor localization
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Dr Shengjie Lai PhD

Principal Research Fellow

Research interests

  • Lai is interested in understanding the transmission dynamics and intervention effectiveness for infectious diseases; Quantifying seasonal human mobility, social connectivity and migration using novel data sources, e.g. mobile phone data; Investigating spatiotemporal interactions between human behaviour, environmental change and infectious disease dynamics.

Accepting applications from PhD students

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Mrs Shilpy Bhat

Research interests

  • Technology-Driven Innovations in Health and Social Care
  • Stakeholder Experiences in Technological Adoption
  • Regional Partnerships for Technological Impact
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Dr Shiyang Tang PhD, BEng, FHEA, CEng, MRSC, MIET

Associate Professor

Research interests

  • Liquid metal
  • Intelligent microfluidics
  • Biosensors

Accepting applications from PhD students

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Professor Simon Cox

Head of Department

Research interests

  • My research focusses on computational tools, technologies and platforms and how they enable interdisciplinary problems to be solved in engineering and science.His team in the Computational Engineering and Design Group is applying and developing high performance and cloud computing in a variety of collaborative interdisciplinary computational science and engineering projects. These include:
  • High Performance and novel Computing SystemsCloud Computing and commercial distributed computing - which led to a spin out companyApplied computational algorithms Computational electromagnetics– which led to the formation of a spin-off company.New algorithms such as meshless methods and fast solvers.Data Management Simon is also Director of the Microsoft Institute for High Performance computing where he demonstrates why, where and how current and future Microsoft tools and technologies can be exploited to enable engineering and scientific research to deliver faster, cheaper and better results.
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Dr Sofia Michopoulou PhD

Accepting applications from PhD students

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Professor Sonia Zakrzewski

Prof of Bioarchaeology & BioAnthropology

Research interests

  • bioarchaeology and palaeopathology
  • disAbility, impairment, injury and disease
  • race, migration and mobility

Accepting applications from PhD students

Connect with Sonia

Dr Srinandan Dasmahapatra

Associate Professor
Connect with Srinandan
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: