Principle research interests lie in investigating metabolic changes throughout human life course with a focus on the dynamics of energy metabolism alongside biomarker detection. Currently developing a targeted research theme that incorporates pregnancy, frailty and ageing related clinical projects alongside novel analytical approaches that enable the targeting and quantification of pathways critical to biochemical energy production.
Portfolio of clinical research has covered a broad range of concepts including:
- Population level analysis of frailty metabolism
- Early diagnostic and theranostic biomarker detection
- Energy metabolism across the placenta
- Ageing effects the biological and metabolic basis of cancer
This work has also been complemented by development of statistical tools to understand how metabolite data can be automatically linked to biochemical pathways, helping to inform genomic studies and ultimately to develop models linking metabolic data and exposures to epidemiological studies.
- Deadlier colon cancer develops differently in women and men
- MSc Thesis Examination
- UNESCO-Newton Prize 2020 Reviewer
- PhD Examination
- Scottish Metabolomics Network Annual Symposium 2019
- Workshop Lecture on Metabolomics Data Pre-Processing
more professional activities
- STRAthclyde Diversity in Data LinkagE (STRADDLE) Doctoral Training Centre
- Barry, Sarah (Co-investigator) Kavanagh, Kimberley (Co-investigator) Megiddo, Itamar (Co-investigator) Murray, Paul (Co-investigator) Rattray, Nicholas (Co-investigator)
- The focus of the STRAthclyde Diversity in Data LinkagE (STRADDLE) DTC is to develop a centre of excellence in the linkage and analysis of data across disciplines. With an initial focus on health and healthcare delivery, STRADDLE will deliver linkage and innovative analysis of data from the molecular to population level, to achieve new insights and to maximize the value of health research data. There are 3 fully funded, 3.5 year PhD studentships are available to highly motivated UK and EU students. Successful applicants will be trained as the next generation of data scientists and develop skills and know how to deliver on the integration of diverse clinical data types – from molecules to man to populations.
- 01-Jan-2019 - 31-Jan-2023
Strathclyde Institute of Pharmacy and Biomedical Sciences
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