Segun is interested in developing and implementing approaches and methods used in genetics research to associate specific genetic variations with particular diseases and traits. He is particularly interested in African populations. His present research focuses on association analysis of nearly 7,000 African participants genotyped with the 2.5M Illumina chip array. This work largely centres on the genetic basis of cardiometabolic traits and diseases, particularly lipid metabolism, coronary artery and infectious disease, and the use of genetic tools for causal inference.
Segun originally trained as a computer scientist at the University of Science and Technology, Port-Harcourt before completing postgraduate training in Bioinformatics at Covenant University Nigeria and the University of Cologne, Germany. He also has a postgraduate certificate in Public Health from the University of Liverpool, UK. During his PhD at Covenant University, Nigeria and University of Heidelberg, Germany, Segun developed a model which identified twenty-two (22) potential novel drug targets against malaria, some of which have been tested and validated experimentally.
In addition to his research commitments Segun also taught bioinformatics, mathematical and numerical methods, Algorithm, and statistical methods at Covenant University for almost ten years and supervised both undergraduate and postgraduate students. Before joining the Sandhu Group he held postdoctoral research posts at the Centre for Tropical and Emerging Global Diseases, University of Georgia, United States, and at the Institute of Structural and Molecular Biology, University College London.
Segun is the vice-president of the African Society for Bioinformatics and Computational Biology (ASBCB) and plays a prominent role in the development of bioinformatics in the society. Prior to this, he founded and served as the first president of the Regional Student Group in Africa, which is affiliated to the International Society for Computational Biology (ISCB).