Collaborators
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Alejo J Nevado-Holgado
Associate Professor
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Sarah Bauermeister
Associate Professor of Cognitive Neuropsychology
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Noel Buckley
Professor of Neurobiology
Laura Winchester
D Phil
Alzheimer's Research UK Senior Fellow
- Athena Swan Departmental Lead
- DEMON (Deep Dementia Phenotyping Network) Biomarkers Working Group Co-Lead
Research and Interests
RESEARCH SUMMARY:
My main research focus is on using genomic and proteomic data analysis from Alzheimer’s disease, Parkinson’s disease and healthy population cohorts to develop new biomarkers and understand disease mechanisms by applying integrative and machine learning methodologies.
I lead research on projects studying proteomics in Parkinson's disease, aiming to gain deeper insights into the disease's pathophysiology and progression. By analysing protein expression patterns, we strive to develop strategies for stratifying patients based on their unique disease characteristics and mechanisms. I am also interested in the relationship between iron homeostasis and dementia. This involves the application of large-scale multi-omics data to develop new biomarkers and understand disease mechanisms.
BIOGRAPHY:
I am an Alzheimer’s Research UK Senior Research Fellow. I am leading the bioinformatics team working on the analysis of multiple data types including proteomic, genomics and epidemiology in patient cohorts, biobanks, experimentally derived and real-world data. I hope to use these methods to better understand disease variants and therapeutics in age-related diseases.
I have worked in the Department of Psychiatry for nine years and have recently become the Athena Swan representative for the department. I am also the Internal Examiner for the Clinical and Therapeutic Neuroscience Masters. I am based in an informatics and AI team working on dementia and neurodegenerative disease in the Translational Neuroscience and Dementia Research Group.
Recent publications
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Large-scale plasma proteomics uncovers preclinical molecular signatures of Parkinson's disease and overlap with other neurodegenerative disorders.
Preprint
Homann J. et al, (2025)
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PDE5 inhibition and Alzheimer’s disease risk: a mendelian randomisation study
Preprint
Alcalde-Herraiz M. et al, (2024)
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Optimising the use of electronic medical records for large scale research in psychiatry.
Journal article
Newby D. et al, (2024), Transl Psychiatry, 14
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Tracing Tomorrow: young people's preferences and values related to use of personal sensing to predict mental health, using a digital game methodology.
Journal article
Pavarini G. et al, (2024), BMJ Ment Health, 27
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Describing the effects of iron dyshomeostasis on cognitive function and dementia in UK Biobank
Journal article
Winchester LM. et al, (2023), Alzheimer's & Dementia, 19
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Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia.
Journal article
Winchester LM. et al, (2023), Alzheimers Dement, 19, 5860 - 5871
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Artificial intelligence for neurodegenerative experimental models.
Journal article
Marzi SJ. et al, (2023), Alzheimers Dement, 19, 5970 - 5987
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Artificial intelligence for dementia genetics and omics.
Journal article
Bettencourt C. et al, (2023), Alzheimers Dement, 19, 5905 - 5921
