|Address||University College London
90 High Holborn
1st Floor, room 1.21
London, WC1V 6LJ
I received my Bachelor degree in biotechnology from the Universiti Malaysia Sabah in 2011 and a Master degree in Bioinformatics and genomics from the University of Leeds, UK in 2013. Subsequently, I have been awarded with a PhD in Bioinformatics and Genomics in 2017 from University of Leeds. I was working as a teaching assistant for few bioinformatics related undergraduate and master’s courses while I was in the University of Leeds. In March 2018 I joined the University College London (UCL) and as a postdoc at Institute of Healthcare Engineering (IHE) and Ear Institute, both within University College London, UCL.
I am working on investigating the link between Alzheimer’s disease and hearing loss. My research interests are mostly in integrative bioinformatics including but not limited to human disease omics, imaging, and developing novel statistical methods or by applying existing tools that might contribute to the discovery of disease biomarkers, understanding of disease progression, its regulation and co-morbidity.
Fatin N. Zainul Abidin and David R. Westhead. “Flexible model-based clustering of mixed binary and continuous data: application to genetic regulation and cancer”. Nucleic Acids Res (2017) 45 (7):e53.
M S Vijayabaskar, Nadine Obier, Debbie Goode, Fatin N. Zainul Abidin, Nisar Shar, Rebecca Hannah, Salam A Assi, Michael Lie-A-Ling, Walter Gilks, Bertie Gottgens, Georges Lacaud, Valerie Kouskoff, Constanze Bonifer and David R Westhead. “A novel strategy to integrate multiple high-throughput data sets and predict gene specific cis-regulatory elements”. Manuscript submitted in PLoS in press.
Helena R. Wells, Maxim B Freidin, Fatin N. Zainul Abidin, Andrew Payton, Piers Dawes, KevinJ Munro, Cynthia C Morton, David R. Moore, Sally J Dawson, Frances MK Wiliams. Genome-wide association Study identifies 44 independent genomic loci for self-reported adult hearing difficulty in the UK Biobank cohort. bioRxiv 549071 (2019). In review- American Journal of Human Genetics.