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 Jorn Cheney

Lecturer in Natural Sciences

Research interests

  • Locomotion
  • Wing morphing
  • Tissues and tissue mechanics

Accepting applications from PhD students

Connect with Jorn

Dr Jorn Lakowski

Lecturer

Research interests

  • Retinal Disease Modelling
  • Retinal Development
  • Drug Screening

Accepting applications from PhD students

Connect with Jorn

Professor Judith Holloway BSc (Hons), PhD, PGCert, PFHEA, NTF

Professorial Fellow in Allergy

Research interests

  • HACASE: A simple effective educational model for session design: Prof Holloway has designed an educational model for teaching which is applicable across any teaching activity. Current research activity is evaluating its effectiveness in clinical teaching including allergy to different learners from patients to undergraduates and multi-professional healthcare professionals.
  • MSc Allergy education: Prof Holloway's team explore innovations and the effectiveness of teaching on the MSc Allergy, to disseminate their experiences for the benefit of other courses around the University and more widely. 
  • Allergy bitesize education (short e-courses for CPD): Prof Holloway has led the development of short e-courses, including an Anaphylaxis Toolkit which provide Gain and Train learning for healthcare professionals on how to effectively teach patients this important topic.
Connect with Judith

Professor Juerg Matter

Professor of Geoengineering&Carbon Manag
Connect with Juerg

Professor Juliet Gray

Professor

Research interests

  • Fc modification of monoclonal antibodies to improve effector function
Connect with Juliet

Professor Kai Yang

Professor

Research interests

  • Electronic textile materials and manufacturing
  • Wearable medical devices (e.g. stroke rehabilitation, pain management)
  • Digital healthcare

Accepting applications from PhD students

Connect with Kai

Professor Karl Staples PhD CBiol FRSB FHEA

Prof Resp Immunology & Pharmacology

Research interests

  • Chronic Respiratory Disease e.g. Asthma, COPD
  • Host-pathogen Interactions
  • Ex vivo models of the human lung
Connect with Karl

Dr Kate Farrahi

Associate Professor

Research interests

  • the intersection of machine learning and digital health
  • developing machine learning methods for human sensing using vision- and wearable-based technologies

Accepting applications from PhD students

Connect with Kate

Dr Kate Greenwell

Senior Research Fellow

Research interests

  • Intervention development and evaluation
  • Digital Health
  • Supporting carers, families, and couples

Accepting applications from PhD students

Connect with Kate

Dr Kate Hough

Research Fellow in Neuroimmunology

Research interests

  • Hearing loss
  • Cochlear implants
  • Macrophages
Connect with Kate
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: