Click here for a short film on our cattle health monitoring AI research underpinned by the UK's fastest and most powerful supercomputer, Isambard-AI! 

Andrew’s research group focuses on the acceleration of health sciences research and new clinical diagnostics 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 lead and support 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 and developing predictive models from population-level health and environmental data to develop interventions for One Health challenges such as anti-microbial resistance; Intensive longitudinal health, activity and behavioural monitoring at the level of individual animals and groups of animals for welfare and environmental sustainability.

Andrew has a joint position in Bristol Veterinary School and the Department of Population Health Sciences, Bristol Medical School. He is AI lead for the John Oldacre Centre at Bristol Veterinary School, where he is also Population Health Theme Lead and Impact Director. He is Fellowships Director for the EPSRC LEAP Digital Health Hub. Previously, he was Research Director for Bristol Veterinary School, founding Director of the John Oldacre Centre, an Associate Director of the HDR-UK South-West Better Care Partnership and a Turing Fellow. He has received a MICCAI Young Scientist award, held an EPSRC Overseas Postdoctoral Fellowship at the Life Sciences Interface between the Hamlyn Centre, Imperial College London, University of Texas MD Anderson Cancer Center and University College Dublin, an MRC New Investigator Research Grant at the Centre for Advanced Discovery and Experimental Therapeutics, The University of Manchester, and was a Reader in the Department of Electrical Engineering and Electronics at the University of Liverpool.

Current Staff

• Harry Tata (PDRA)
• Asheesh Sharma (PDRA)
• Marco Ramirez Montes de Oca (Senior PDRA)
• Rita Rodrigues Rasteiro de Campos (JGI Research Software Engineer)

Current Postgraduate Students (Main Supervisor; PhD unless specified)

• Yuijie Dai (EPSRC CDT in Digital Health)
• Meng Du (GW4 BioMed MRC DTP)
• Daria Baran (Bristol PhD Scholarship)
• Huimin Liu (China Scholarship Council)
• Feihui Yu (BBSRC SWBio DTP with CASE partner AFBI)

Current Postgraduate Students (Co-supervisor; PhD unless specified)

• Sara Hall (lead Daniel Enriquez-Hidalgo; BBSRC SWBio CDT)
• Mike Nsubuga (lead Sion Bayliss; BioMed MRC DTP)
• Aimee Daum (lead Matthew Avison; Bristol PhD Scholarship)
• Amy Fitzgerald (lead Carlos Garcia de Leaniz; joint funded by Swansea University & Visifish)
• Caroline Schreiber (lead Sion Bayliss; BioMed MRC DTP)
• Bruno Carlos Ramos (lead Carlos Garcia de Leaniz; BBSRC SWBio CDT)
• John O'Riordan (lead Emily Blackwell, DEFRA PhD Studentship)
• Daniel Candé (lead Kristen Reyher; Bristol PhD Scholarship)
• Pip Young (lead Ben Lecorps; BBSRC SWBio DTP) 
• Damilola Olaoye (lead Christie Cabral; NIHR Health Protection Research Unit in Evaluation and Behavioural Science)

Postgraduate Theses

• Harry Tata (submitted), "Sparse signal dconvolution for impurity quantification in oligonucleotide mass spectrometry"
• Asheesh Sharma (submitted), "Bovine identification and welfare by harnessing deep learning and 3D vision"
• Elliot Stanton PhD (2026), "Using data science approaches to understand the epidemiology of antimicrobial use and resistance on UK dairy, beef and sheep farms"
• Brooke Bennett MScR (2026), "Wearable technology for remote moniroting of exercise tolerance in canine myxomatous mitral valve disease: An expanded cohort study"
• Dan Milner PhD (2026), "Measuring and understanding resilience to climate change among smallholder farmers in East Africa"
• Tim Dong PhD (2025), "Machine learning-driven approaches to improve clinical diagnostics with Matrix-Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry in microbiology"
• Tom Zuffa PhD (2024), "Investigation of factors associated with successful completion of Fédération Équestre Internationale endurance rides and of risk factors for and prediction of post-race lameness and unacceptable performance in Thoroughbred flat racing at The Hong Kong Jockey Club"
• Léo Gorman PhD (2024), "Leveraging the power of household surveys in agricultural research for development"
• Axel Montout PhD (2023), "Prediction of poor health in small ruminants and companion animals with accelerometers and machine learning"
• Lucy Vass PhD (2023), "Statistical modelling methodology for investigating risk factors of antimicrobial use and resistance: applied to UK dairy farms"
• Jon Massey PhD (2021), "Barriers to population-level AMR research in UK livestock and opportunities for data science"
• Al Phillips PhD (2020), "Bayesian methods for protein quantification in mass spectrometry proteomics"

Staff Alumni

• Axel Montout (PDRA)
• Jing Gao (PDRA)
• Brian Sullivan (Senior PDRA)
• Ranjeet Bhamber (Research Fellow)
• Gina Caplen (Senior PDRA)
• Jo Hockenhull (Senior PDRA)
• Louis MacGregor (Senior PDRA)
• Will Andrew (PDRA)
• Hanqing Liao (PDRA)
• Andris Jankevics (PDRA)
• Yan Zhang (PDRA)