Second Meeting of the DS-I Africa Consortium
29 October -2 November 2022

Prof Faisal Fadlelmola (Participant)

Faisal M. Fadlelmola did his Post-Doctoral Fellow training at the Centre for Translational and Applied Genomics (CTAG) at the British Columbia Cancer Centre, Vancouver, Canada (2004-2006), where he acquired extensive training in cancer genomics and translational bioinformatics. He also worked as a Senior Research Associate at the CTAG (2007-2009). Currently, Prof. Fadlelmola is PI of H3Africa Bioinformatics Network (H3ABioNet), Sudan Node (2012-2023). He served as the Chair of the H3ABioNet Research Working Group (January 2015-August 2017). He served as the Chair of the H3ABioNet Databases and Resources Work Package (January 2018-February 2021), and he is currently the co-chair of this work package. He is also co-leading the H3ABioNet Data Management Plans (DMP) project since 2018-Present. He is a Planning Committee member of the African Genomic Medicine Initiative and member of the African Bioinformatics Training and Education Committee. In 2020, he was nominated as the Secretary of the African Society for Bioinformatics and Computational Biology (ASBCB) (2020-2023). Recently, he contributed positively to the success of the awarding of the Open Data Science Platform (ODSP) and Coordinating Center (CC) for DS-I Africa grant as a Co-PI and leading the Sudan Node (2021-2026). Currently, he is the Director and Founder of the Kush Centre for Genomics & Biomedical Informatics at the Biotechnology Perspectives Organization, Khartoum, Sudan.
Prof. Fadlelmola is a Fellow of the British Computer Society (FBCS, UK). He is also a Fellow of the Institute of Biomedical Sciences (FIBMS, UK), and Certified Training and Development Professional (CTDP, Canada). Since 2009, Professor Fadlelmola involved extensively in genomics medicine, bioinformatics and data science capacity building and training in Africa. Prof. Fadlelmola research interests are: cancer genomics, translational bioinformatics, molecular epidemiology of cancer, translational and applied genomics medicine, mobile health and mobile learning, ML & DL applications in healthcare among many others.