Faisal M. Fadlelmola

Dr. Faisal Mohamed Fadlelmola is an Associate Professor who has extensive regional and International academic and research experiences in cancer genomics, bioinformatics and Information Technology. He is a Fellow of the British Computer Society and Chartered IT Professional (FBCS CITP, UK), and the Fellow of Institute of Biomedical Sciences in London (FIBMS, UK) and Certified Training and Development Professional (CTDP, Toronto, Canada). He has been awarded two masters from UK, the first M.Sc. in Medical Molecular Biology from the University of Westminster, London, UK (1999) and the second M.Sc. in Computer-based Information Systems from the University of Sunderland, Sunderland, UK (2000). Then, he had been awarded his PhD in Molecular Human Genetics and Bioinformatics from the Institute of Human Genetics, University of Wurzburg in Germany (2003). He received his postdoctoral fellowship training on Cancer Genomics and Bioinformatics at the Centre for Translational and Applied Genomics (CTAG), British Columbia Cancer Agency, British Columbia, Vancouver Canada (2004-2006). He also worked as Senior Research Associate at CTAG (January 2007-December 2008).

Dr. Fadlelmola is currently the Principal Investigator for the NIH H3ABioNet Sudan Node hosted within the University of Khartoum Centre for Biomedical Informatics & Systems Biology. H3ABioNet is a Pan African Bioinformatics Network for the Human Heredity and Health in Africa (H3Africa) consortium. H3ABioNet was established to develop bioinformatics capacity in Africa and specifically to enable genomics data analysis by H3Africa researchers across the continent. H3ABioNet is developing human capacity through training and support for data analysis, and facilitating access to informatics infrastructure by developing or providing access to pipelines and tools for human, microbiome and pathogen genomic data analysis.

He has been involved in a variety of research projects on topics such as cancer genomics, bioinformatics, molecular epidemiology of cancer, translational and applied genomics, mobile health and mobile learning, among many others.