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:

People, projects and publications

People

Dr Sarah Chellappa MD, MPH, PhD.

Associate Professor

Accepting applications from PhD students

Connect with Sarah

Professor Sarah Ennis

Professor of Genomics

Accepting applications from PhD students

Connect with Sarah

Dr Sasan Mahmoodi PhD

Associate Professor

Research interests

  • Medical Image Analysis
  • Biometrics
  • Computer Vision 
Connect with Sasan

Professor Saul Faust MBBS, FRCPCH, PhD, FHEA, OBE

Professor Paediatric Immunology & Infect
Connect with Saul

Professor Selin Ahipasaoglu PhD

Professor

Research interests

  • Convex Optimisation
  • Robust Optimisation
  • Discrete Choice Theory and Applications

Accepting applications from PhD students

Connect with Selin

Dr Seung Lee

Associate Professor

Research interests

  • Chemical biology
  • Antimicrobial resistance
  • Glycan processing enzymes
Connect with Seung

Professor Shane Norris PhD, MASSAf, FAAS

Professor of Global Health
Connect with Shane

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
Connect with Shelly

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

Connect with Shengjie

Dr Shiyang Tang PhD, BEng, FHEA, CEng, MRSC, MIET

Associate Professor

Research interests

  • Liquid metal
  • Intelligent microfluidics
  • Biosensors

Accepting applications from PhD students

Connect with Shiyang
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.
Professor of Genomics

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: