Queen Mary University of London
Queen Mary University of London is a public research university in London, England, and a constituent college of the federal University of London. It dates back to the foundation of London Hospital Medical College in 1785. (Wikipedia)
Address: Mile End Rd, Bethnal Green, London E1 4NS, United Kingdom.
UKRI/MRC Rutherford Fellow, Lecturer (2018 - 2021)
During my work at QMUL I had the pleasure to work with Prof. Michael (Mike) R. Barnes, which supported me in all the aspects.
At QMUL, I was affiliated to multiple organizations:
Barts and The London School of Medicine and Dentistry (QMUL) - Lecturer;
William Harvey Research Institute (QMUL) - Researcher;
Institute of Applied Data Science (QMUL) - Academic Member;
Centre for Computational Biology (QMUL) - Core Academic Member;
Health Data Research UK - Fellow;
NIHR Barts Biomedical Research Centre - Researcher;
Projects
UKRI London AI Centre for Value Based Healthcare (https://gtr.ukri.org/projects?ref=104691)
MRC IMID-Bio-UK: Immune-Mediated Inflammatory Diseases Biobanks – UK. (https://www.gla.ac.uk/research/az/imid/)
IMI2 NECESSITY: New clinical endpoints in primary Sjögren’s syndrome. (https://www.imi.europa.eu/projects-results/project-factsheets/necessity)
MRC CLUSTER: Juvenile Idiopathic Arthritis (JIA) and Uveitis data integration. (https://www.clusterconsortium.org.uk/)
EU CORBEL: Integrating EU-wide cardiovascular research datasets (https://www.qmul.ac.uk/c4tb/team/adriano-barbosa/corbel/);
UKRI/MRC/HDRUK: A translational data integration platform for the stratification of patients based on clinical, laboratory and magnetic resonances imaging (https://gtr.ukri.org/projects?ref=MR%2FS003827%2F1)
ADNI: Alzheimer's Disease Trajectory Prediction using Machine Learning;
PPMI: Parkinson's Progression Markers Initiative Data Analysis;
Thesis supervision
Alisha Angdembe. Predictive machine learning models for dementia (2021). QMUL's M.Sc in Bioinformatics Thesis.
Mohamed Golaid. Prediction of Parkinson's Disease Progression using machine learning algorithms (2021). QMUL's M.Sc in Bioinformatics Thesis.
Thanks for funding me:
