Emmanuel Adabor is a Senior Lecturer of Applied Mathematics and Computational Sciences. He received his PhD in Applied Mathematics from the Kwame Nkrumah University of Science and Technology, Kumasi. After receiving a fellowship from the African Institute for Mathematical Sciences, he pursued his research interests in Computational Sciences. He is a member of  the Society for Mathematical Biology and a board member of the Convention of Biomedical Research Ghana.

• Machine Learning
• Computing Theory
• Computational Immunology and Biological Dynamics
• Computing in Mathematics, Natural Science, Engineering and Medicine
• (Biomedical) Informatics
• Applied Mathematics and Statistics

• Development and applications of Machine Learning techniques
• Computational approaches to modeling biological and non-biological systems
• Measurement Theory, Data Analysis and Analytics
• Management Sciences
• Mathematical Programming
• Leadership and Computing Education
• Reverse-engineering of transcriptional regulatory networks in diseases

2023-2026: Simio Academic Edition (Simio LLC) software grant, worth $480000 (USD) to support teaching and research in simulation.

Master’s, School of Technology, GIMPA, Accra, Ghana

• SOT734B Numerical Analysis
• SOT733B Mathematical Modelling
• SOT714B Business Intelligence and Data Mining
• ICT706B Decision Support Systems
• SOT735B Computer Solutions and Modeling

PhD’s Level Course, GIMPA Business School, GIMPA, Accra, Ghana

• MTK908B Multivariate Data Analysis
• DMGT909 Measurement Theory and Data Analysis

Master’s Level Course, GIMPA Business School, GIMPA, Accra, Ghana

• BUS712B Analytical Skills for Decision-Making

 Undergraduate Level Course, School of Technology, GIMPA, Accra, Ghana

• ICT301B Information Technology Research Methods
• CSC301B Computing Theory
• CSC304B Numerical Methods
• GSOT208B Linear Algebra
• CSC305B Advanced Probability and Statistics
• SOT204B Probability and Statistics
• SOT101B/SOT102B Calculus

Peer reviewed journal articles

• Adabor, E.S. (2021). A statistical analysis of antigenic similarity among influenza A (H3N2) viruses. Heliyon 7(15): e08384. https://doi.org/10.1016/j.heliyon.2021.e08384
• Adabor, E.S., Acquaah-Mensah, G. (2019). Machine learning approaches to decipher hormone and HER2 receptor status phenotypes in breast cancer. Briefings in Bioinformatics (2019),20(2):504-514. https://doi.org/10.1093/bib/bbx138.
• Degoot, A.M., Adabor, E.S., Chirove, F., Ndifon, W. (2019). Predicting Antigenicity of Influenza A Viruses Using biophysical ideas. Scientific Reports 9(10218) https://doi.org/10.1038/s41598-019-46740-5
• Adabor, E.S., Acquaah-Mensah, G.K. and Oduro, F.T. (2015). SAGA: A Hybrid Search Algorithm for Bayesian Network Structure Learning of transcriptional regulatory networks. Journal of Biomedical Informatics; Vol. 53, pp. 27-35.

Office: D-Block

E-mail: emmanuelsadabor@gimpa.edu.gh