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
My 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.
I 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. I also have a postgraduate certificate in Public Health from the University of Liverpool, UK. During my PhD at Covenant University, Nigeria and University of Heidelberg, Germany, I 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 my research commitments I 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 I 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.
I am the vice-president of the African Society for Bioinformatics and Computational Biology (ASBCB) and play a prominent role in the development of bioinformatics in the society. Prior to this, I 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).
Genetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants.
Nature communications 2014;5;5345
Computational biology and bioinformatics in Nigeria.
PLoS computational biology 2014;10;4;e1003516
H3Africa: a tipping point for a revolution in bioinformatics, genomics and health research in Africa.
Source code for biology and medicine 2014;9;10
Computational and experimental analysis identified 6-diazo-5-oxonorleucine as a potential agent for treating infection by Plasmodium falciparum.
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases 2013;20;389-95
Comparing metabolic network models based on genomic and automatically inferred enzyme information from Plasmodium and its human host to define drug targets in silico.
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases 2011;11;4;708-15
Estimating novel potential drug targets of Plasmodium falciparum by analysing the metabolic network of knock-out strains in silico.
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases 2009;9;3;351-8
In silico models for drug resistance.
Methods in molecular biology (Clifton, N.J.) 2013;993;39-65
How not to be a bioinformatician.
Source code for biology and medicine 2012;7;1;3
Ten simple rules for organizing a virtual conference--anywhere.
PLoS computational biology 2010;6;2;e1000650