Projects per year
Andrew’s research group focuses on the facilitation and acceleration of health sciences research through novel artificial intelligence and statistical data science methodology, as well as data collection and management platforms. His team works in highly multidisciplinary environments to both support and lead investigations across three strands of research: Profiling the protein and metabolite content of biological fluids and tissues using mass spectrometry proteomics and metabolomics for understanding disease mechanism, and to discover biomarkers for clinical diagnostics; Constructing secure research platforms from population-level agricultural, environmental and health data to inform policy on One Health challenges such as global food security and the transmission of anti-microbial resistance; Intensive longitudinal health, activity and behavioural monitoring at the level of individual animals and groups of animals.
- Ranjeet Bhamber (Senior PDRA)
- Brian Sullivan (Senior PDRA)
- Gina Caplen (Senior PDRA)
- Jo Hockenhull (Senior PDRA)
- Mike Tier (Data Manager)
Current Students (Lead Supervisor)
- Tim Dong
- Lucy Vass
- Axel Montout
- Léo Gorman (Turing Doctoral programme)
- Ed Barker (EPSRC CDT in Digital Health)
- Georgie Mansell (EPSRC COMPASS CDT)
Current Students (Co-supervisor)
- Zoe Parr-Cortes (BBSRC SWBio CDT; lead Nicola Rooney)
- Tom Zuffa (lead Tim Parkin)
- Louis MacGregor (Senior PDRA)
- Will Andrew (PDRA)
- Hanqing Liao (PDRA)
- Andris Jankevics (PDRA)
- Yan Zhang (PDRA)
- Jon Massey (PhD)
- Al Phillips (PhD)
1/07/16 → 31/03/19
Gao, J., Mullan, S. M., Campbell, N. W., Dowsey, A. & Burghardt, T., 1 Jun 2021, In: Computers and Electronics in Agriculture. 185, 14 p., 106133.
Research output: Contribution to journal › Article (Academic Journal) › peer-review40 Downloads (Pure)
Widespread severe cerebral elevations of haptoglobin and haemopexin in sporadic Alzheimer's disease: Evidence for a pervasive microvasculopathyPhilbert, S. A., Xu, J., Unwin, R. D., Dowsey, A. W. & Cooper, G. J. S., 28 May 2021, In: Biochemical and Biophysical Research Communications. 555, p. 89-94 6 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review
Uncertainty aware protein-level quantification and differential expression analysis of proteomics data with seaMassPhillips, A., Unwin, R. D., Hubbard, S. & Dowsey, A., 2021, (Submitted) Statistical methods for proteomics. Springer, (Methods in Molecular Biology).
Research output: Chapter in Book/Report/Conference proceeding › Chapter in a bookFile6 Downloads (Pure)