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Dr. Emile R. Chimusa, Professor of Bioinformatics at Northumbria University, expert in computational population genomics.

South Africa

Professor, Department of Applied Sciences, School of Geography & Natural Sciences,

Northumbria University (Newcastle upon Tyne, UK). 

(+27) 728875777. (+27) 21 406 6058/6176

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Emile Chimusa

Address:

Northumbria University, City Campus (Ellison Building), Ellison Place,

Newcastle upon Tyne, NE1 8ST, United Kingdom.

Research Interests:

  • GWAS and fine-mapping in diverse/admixed populations
  • Local/global ancestry inference and admixture mapping
  • Pharmacogenetics & individualized drug response
  • Functional/post-GWAS and disease-risk prediction tools
  • Microbiome & host–pathogen genomics
  • Equity-oriented data sharing in genomics
  • Multi-omics integration and network methods

Biography:

Dr. Emile R. Chimusa is a professor of bioinformatics and computational population genomics at Northumbria University. He recently joined Northumbria from the University of Cape Town, where he led postgraduate programs in computational health informatics and human/forensic genetics. His research develops statistical and computational methods to analyze large-scale genomic data—genome-wide association, fine-mapping, admixture mapping, and multi-omics integration—with a focus on diverse and admixed populations. Dr. Chimusa has contributed to international consortia and secured competitive funding (UK, South Africa, EU, North America), with cumulative awards reported at over £17.7 million as PI or co-investigator. He also designs open tools for functional genomics, post-GWAS analysis, ancestry inference, and disease-risk prediction, and actively builds training in bioinformatics and omics data science. His recent work spans equity-oriented data sharing, pharmacogenetics in sickle cell disease, fetal haemoglobin modifiers, and hypertension genomics in African ancestries.


Current Research Projects

Genomic risk assessment in admixed populations; pharmacogenetic modeling; ancestry deconvolution and cross-population meta-analysis; multi-omics disease–drug modeling.


Academic Profiles of Dr. Chimusa

Publications:

Recent work emphasizes data-equity, pharmacogenetics in sickle cell disease, fetal haemoglobin modifiers, and hypertension genomics in African cohorts; plus simulation methods to optimize GWAS in diverse populations.

  • Munung NS, Ewuoso C, Chimusa ER, Ogundiran T. Cultivating an equity-oriented data sharing culture for African health research initiatives. Nature Communications. 2025;16:8122.
  • Mugo JW, Mulder N, Chimusa ER. Data simulation to optimize frameworks for genome-wide association studies in diverse populations. Frontiers in Genetics. 2025;16:1559496.
  • Nkya S, … , Chimusa ER, Makani J. Exploring pharmacogenetic factors influencing hydroxyurea response in Tanzanian sickle cell disease patients: a genomic medicine approach. The Pharmacogenomics Journal. 2025;25(3). 
  • Wonkam A, … , Chimusa ER, … , Antonarakis S. FLT1 and other candidate fetal haemoglobin modifying loci in sickle cell disease in African ancestries. Nature Communications. 2025;16(1):2092. 
  • Katsukunya JN, … , Chimusa ER, … , Dandara C. NOS3 rs3918188C>A is associated with susceptibility to resistant hypertension while CES1 variation was not associated with resistant hypertension among South Africans. Frontiers in Genetics. 2025;16:1608423. 

 

 

Last Updated on September 12, 2025