Dr Maysson Ibrahim is a Senior Lecturer in Computing and Programme Director of the MSc Applied Data Science at the University of Buckingham. She holds a BEng in Software Engineering and Information Systems and a PhD in Bioinformatics and is a Fellow of the Higher Education Academy. She teaches and leads modules across undergraduate, postgraduate and apprenticeship provision within the School of Computing.
Following her doctorate, Maysson joined the Buckingham Institute for Translational Medicine as a Postdoctoral Research Fellow, where she spent three years working on biological pathway analysis and biomarker discovery using transcriptomics data.
She subsequently joined the Nuffield Department of Population Health at the University of Oxford as a Senior Research Fellow in Bioinformatics. During her six years at Oxford, she led bioinformatics research within a multidisciplinary team, developing analytical pipelines and computational tools for the cleaning, processing and integration of large-scale genetic data from clinical studies, including REVEAL, SHARP and THRIVE as well as the UK Biobank.
Maysson joined the School of Computing at the University of Buckingham in 2020 as a part-time Lecturer and became a full-time Senior Lecturer and Programme Director in 2022. She has contributed extensively to curriculum development, including the design of new undergraduate and postgraduate modules and the redesign of the MSc Applied Data Science programme. She also leads a workshop series that brings academic and industry experts to the programme, providing students with opportunities to engage with current developments and real-world applications of data science.
Research
Maysson’s research interests lie at the intersection of bioinformatics, data science, artificial intelligence and machine learning, with a particular focus on their application to healthcare, medical and biological data. Her research work combines computational methods, data analysis and machine learning to extract meaningful insights from complex biological and healthcare data.
She supervises undergraduate, MSc and PhD research projects and welcomes enquiries from prospective students and industry partners interested in bioinformatics, data science, artificial intelligence, machine learning and their applications in healthcare and the life sciences.
Alongside her teaching and research, Maysson contributes to the wider academic life of the University. She undertakes personal tutoring, mentors new lecturers, and serves as a member of the University Senate and other University committees. She is also an External Examiner at the University of West London.
Selected publications
Book chapter
- Ibrahim M. Pathways Enrichment Analysis of Gene Expression Data in Type 2 Diabetes. Methods Mol Biol. 2020; 2076:119-128. doi: 10.1007/978-1-4939-9882-1_7
Peer-reviewed journals and conferences
- Staplin N, Herrington WG, Murgia F, Ibrahim M, Bull KR, Judge P, Ng SYA, Turner M, Zhu D, Emberson J, Landray MJ, Baigent C, Haynes R, Hopewell JC. “Determining the Relationship Between Blood Pressure, Kidney Function, and Chronic Kidney Disease: Insights From Genetic Epidemiology”, Hypertension, 9th Sep 2022
- Aragam, K.G., Jiang, T., Goel, A. et al. Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants. Nature Genetics, 54, 1803–1815 (2022). https://doi.org/10.1038/s41588-022-01233-6
- Gajendragadkar PR, Von Ende A, Ibrahim M, Valdes-Marquez, E., Camm CF, Murgia F, Stiby AI, Casadei, B., Hopewell JC “Assessment of the causal relevance of ECG parameters for risk of atrial fibrillation: A mendelian randomisation study”. PLoS Med. 2021 May; 18(5)
- Hopewell JC, Ibrahim M, Hill M, Shaw PM, Braunwald E, Blaustein RO, Bowman L, Landray MJ, Sabatine MS, Collins R; HPS3/TIMI55 REVEAL Collaborative Group. “Impact of ADCY9 Genotype on Response to Anacetrapib”, Circulation. 23 Jul 2019
- Ibrahim, M., Jassim, S., Cawthorne, M. A., & Langlands, K. “A MATLAB tool for pathway enrichment using a topology-based pathway regulation score”, BMC bioinformatics Journal, 2014, 15(1), 358.
- Ibrahim, M., Selway, J., Chin, K., Jassim, S., Cawthorne, M A., and Langlands, K., “Rational Identification of Prognostic Markers of Breast Cancer”, The International Conference on Bioinformatics Models, Methods and Algorithms. 2-6 March 2014
- Ibrahim, M., Jassim, S., Cawthorne, M.A. and Langlands, K, “A topology-based score for pathway enrichment”, Journal of computational biology, May 2012, 19 (5), pp. 563-574.
- Ibrahim, M., Jassim, S., Cawthorne, M.A. and Langlands, K, “Integrating pathway enrichment and gene network analysis provides accurate disease classification”, In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Portugal, 1st – 4th Feb 2012, pp. 156-163
- Ibrahim, M., Jassim, S., Cawthorne, M.A. and Langlands, K, “A pathway-based gene selection method provides accurate disease classification”, International Journal of Digital Society (IJDS), 2011, 2 (4), pp. 566 – 573