Research output per year
Research output per year
Personal profile
Academic Biography
Academics Profile
Research Interests
Highly motivated, collaborative research scientist in multidisciplinary fields of artificial intelligence, big data analytics, machine learning, bioinformatics, complex data modeling, computer digital and integrative modeling, data-driven system biology, translational and clinical biology and cancer gene/biomarker discovery.
Current Position
Postdoctoral Research Associate in Cancer Genomics and Bioinformatics
The aim of my research is to investigate, interpret and develop cutting edge solutions by extracting more information from the haematological malignancies genomes. We are investigating the clinical importance of these genetic abnormalities using state of the art integrative analytics of bioinformatics and data science.
Past positions
2018-2019 Research Associate in Computer Sciences, Cancer and Clinical Bioinformatics, Lymphoma Genomics Group, Wolfson Childhood Cancer Research Centre, Centre for Cancer, Newcastle University, UK
2017-2018 Research Assistant in Computer Sciences, Cancer and Clinical Bioinformatics, Lymphoma Genomics Group, Wolfson Childhood Cancer Research Centre, Centre for Cancer, Newcastle University, UK
Follow @masood_zaka, @RandLabUK
Education/Academic qualification
PhD, University of Bradford
2012 → 2017
Award Date: 20 May 2021
Master, University of Leeds
2008 → 2010
Award Date: 20 Oct 2020
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Research output
- 2 Article
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Genomic abnormalities of TP53 define distinct risk groups of paediatric B-cell non-Hodgkin lymphoma
Newman, A., Zaka, M., Zhou, P., Blain, A. E., Erhorn, A., Barnard, A., Crossland, R. E., Wilkinson, S., Enshaei, A., Zordi, J. D., Harding, F., Taj, M., Wood, K. M., Televantou6, D., Turner, S. D., Burke, G. A. A., Harrison, C. J., Bomken, S., Bacon, C. M. & Rand, V., 21 Oct 2021, In: Leukemia. e-pubResearch output: Contribution to journal › Article › peer-review
Open AccessFile11 Downloads (Pure) -
Sporadic and endemic Burkitt lymphoma have frequent FOXO1 mutations but distinct hotspots in the AKT recognition motif.
Zhou, P., Blain, AE., Newman, AM., Zaka, M., Chagaluka, G., Adlar, FR., Offor, UT., Broadbent, C., Chaytor, L., Whitehead, A., Hall, A., O'Connor, H., Van, N. S., Lampert, I., Bailey, S., Molyneux, E., Bacon, C. M., Bomken, S. & Rand, V., 1 Jul 2019, In: Blood advances. 3, 14, p. 2118–2127Research output: Contribution to journal › Article › peer-review
Open Access