Prof. Hüseyin ŞEKER - Eurasia Biochemical Approaches & Technologies Congress (EBAT)

Prof. Hüseyin ŞEKER


Hüseyin ŞEKER

Prof. Hüseyin ŞEKER

Birmingham City University

Birmingham, UK

Huseyin is a research-oriented and enterprise-focused academic and manager with both academic and industry experiences in data science, artificial intelligence, machine learning, and emerging & disruptive technologies/systems with a specific expertise in bioinformatics. He has published over 100 peer-reviewed articles and has been involved with a portfolio of collaborative research, enterprise and teaching/learning projects of over £20M as PI, Co-I and international researcher in collaboration with universities and companies in the UK and abroad. He was one of the founding members of the Institute of Coding in the UK and lead its activities at Northumbria University until September 2019. He is currently working as Professor of Computing Sciences and Associate Dean (Research, Innovation & Enterprise) for the Faculty of Computing, Engineering and the Built Environment in Birmingham City University (Birmingham, UK). He is also the Chief Data Scientist at Bubo.AI ( that he started up with (LinkedIn:

"Bioinformatics: The Power of Data and The Things It Empowers"

The post-genome era has resulted in the generation of a massive amount of biological data. The recent Covid pandemic has also contributed towards the avalanche of such genome data that also now includes millions of Covid virus-related genome data. The data that has been generated through different genomic platforms including next-generation genome sequencing has been analyzed using Bioinformatics methods for several different purposes such as the understanding of gene variation and expression, the identification of molecular mechanism of diseases, the discovery of personalized drugs, the prediction of protein functions and many more. This talk will therefore focus on genomic databases, data-driven and artificial intelligence-based bioinformatics methods that have been developed and used to tackle challenges in the post-genome era, where real-life examples will also be provided.