Oyelade Jelili Olanrewaju

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Oyelade Jelili OlanrewajuOffline

  • (i) Member, Africa Society for Bioinformatics and Computational Biology (ASBCB) (ii) Member, Computer Profession of Nigeria (CPN) (iii) Member, Nigeria Computer Society (NCS) (iv) Nigerian Bioinformatics and Genomics Network (Membership #: NBGNI454)
  • Computer and Information Sciences
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Profile Info

Qualification(s)

B. Sc (Combined Hons) Computer Science with Mathematics                                  1998

M. Sc  Computer Science                                                                                                    2004

 

Ph.D. Computer Science                                                                                                       2012

Membership

(i) Member, Africa Society for Bioinformatics and Computational Biology (ASBCB) (ii) Member, Computer Profession of Nigeria (CPN) (iii) Member, Nigeria Computer Society (NCS) (iv) Nigerian Bioinformatics and Genomics Network (Membership #: NBGNI454)

Position

Professor

College

College of Science and Technology

Department

Computer and Information Sciences

Research Interests

Oyelade, Olanrewaju Jelili is a Professor of Bioinformatics, Department of Computer and Information Sciences, Covenant University, Ota, Nigeria. He is a group leader of Covenant University Bioinformatics Research Cluster(CUBRe) in the Department. His research has focused on the computational identification of signaling and metabolic pathways in Plasmodium falciparum. His dissertation research work has provided both graduates and undergraduates with research opportunities for their theses and projects at Covenant University and also complement the existing strengths of the Department. Oyelade main research interest is in Signalling and Metabolic Pathways Analysis, Analysis of Gene/Protein-Protein Interaction Networks, Gene Expression Data, Gene Regulation, RNA-Sequence Analysis, Algorithm Development, Artificial Intelligent. His academic training and working experience as a lecturer and researcher at Covenant University have prepared him well to be an effective researcher and instructor in computational biology/bioinformatics research fields. His doctoral dissertation was conducted under the direction of Prof. Ezekiel Adebiyi, where we investigated the use of a graph-based linear time algorithm for finding paths in a network of protein-protein interaction in plasmodium falciparum and we are able to predict several important signaling transduction pathways in the malaria parasite. And presently, we are investigating the construction of metabolic pathways using linear and non-linear path algorithms in malaria parasite for plasmodium falciparum, a grant supported by the Covenant University Center for Research and Innovation Discovery (CUCRID).

OYELADE Olanrewaju Jelili

Professor

Oyelade, Olanrewaju Jelili is a Professor of Bioinformatics, Department of Computer and Information Sciences, Covenant University, Ota, Nigeria. He is a group leader of Covenant University Bioinformatics Research Cluster(CUBRe) in the Department. His research has focused on the computational identification of signaling and metabolic pathways in Plasmodium falciparum. His dissertation research work has provided both graduates and undergraduates with research opportunities for their theses and projects at Covenant University and also complement the existing strengths of the Department. Oyelade main research interest is in Signalling and Metabolic Pathways Analysis, Analysis of Gene/Protein-Protein Interaction Networks, Gene Expression Data, Gene Regulation, RNA-Sequence Analysis, Algorithm Development, Artificial Intelligent. His academic training and working experience as a lecturer and researcher at Covenant University have prepared him well to be an effective researcher and instructor in computational biology/bioinformatics research fields. His doctoral dissertation was conducted under the direction of Prof. Ezekiel Adebiyi, where we investigated the use of a graph-based linear time algorithm for finding paths in a network of protein-protein interaction in plasmodium falciparum and we are able to predict several important signaling transduction pathways in the malaria parasite. And presently, we are investigating the construction of metabolic pathways using linear and non-linear path algorithms in malaria parasites for plasmodium falciparum, a grant supported by the Covenant University Center for Research and Innovation Discovery (CUCRID).

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