Genomics, Artificial Intelligence & Infectious Disease Research

Dr. Elekiah Anguko is a Research Scientist specializing in Molecular Virology, Pathogen Genomics, Artificial Intelligence, and Deep Learning for Infectious Disease Research. He leads innovation in public health surveillance, computational biology, and epidemic intelligence across Africa.

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About Me

Research Scientist • Molecular Virologist • Genomics & AI Expert

Driving Innovation in Public Health Research

Dr. Elekiah Anguko is a Kenyan Research Scientist with expertise in Molecular Virology, Genomics, Bioinformatics, Computational Biology, and Artificial Intelligence for infectious disease surveillance.

His research focuses on understanding the molecular and genomic temporal patterns of respiratory viruses, zoonotic pathogens, and arboviruses across tropical Africa. He has contributed extensively to surveillance and genomic evolution studies involving RSV, Coronaviruses, and Influenza viruses.

Education

PhD, Cell & Molecular Biology – Maseno University

Specialized Training

Harvard Medical School – Pathogen Genomics for Public Health

Current Role

KEMRI-CGHR Principal Investigator & Lead, Genomics Department

Leadership

Chief Technology Officer & Scientific Director – The GENA Initiative

Areas of Expertise

Research, Technology, and Innovation for Public Health

Molecular Virology

Research on respiratory viruses, viral evolution, pathogen genomics, and molecular epidemiology across Africa.

Bioinformatics

Development of open-source bioinformatics pipelines and computational tools for pathogen surveillance and genomic analysis.

Artificial Intelligence

AI-powered analytics, epidemic intelligence, and deep learning solutions for infectious disease research and outbreak response.

Epidemiological Analytics

Data-driven surveillance, predictive modeling, and evidence-based public health decision support systems.

Selected Publications

Research Contributions in Genomics & Infectious Diseases

Temporal patterns and disease severity associated with Respiratory Syncytial Virus A and B in Kenyan infants, 2011–2024

Anguko, E., Nyawanda, B. O., Mbugua, N., Audi, A., Auko, J., Oyugi, J., and collaborators (2026).

Epidemiology, clinical outcomes, and genomic insights of Influenza B lineages among pregnant-postpartum mothers and infants in Kenya, 2015–2025

Anguko, E., Opiyo, J., Omondi, D., Nyaundi, J., and collaborators (2026).

High prevalence of varicella zoster virus infection among persons with suspected mpox cases during an mpox outbreak in Kenya

Onyango, C.O., Hines, J.Z., Ochieng, M., Anguko, E., and collaborators (2025).

Comparative prevalence of diarrheagenic Escherichia coli between children below five years with close contact to food animals in Kisumu County

Yeda, R., Makalliwa, G., Anguko, E., and collaborators (2024).

Global Collaborations

Partnerships Advancing Global Health Research

Gates Foundation

Co-led a Global South focused MultiFinder framework for Artificial Intelligence for Disease Modeling.

University of Edinburgh

Research collaboration on Respiratory Syncytial Virus Genomics and Phylogeography.

Institut Pasteur Dakar

Research on respiratory viruses genomic evolution across Indian East and Sahel Atlantic continuums.

Saw Swee Hock School of Public Health

Artificial Intelligence and Deep Learning collaborations for infectious disease research.

LakeHub Foundation

Tech for Public Health Research including training and capacity building in AI and Deep Learning.

Contact

Interested in genomics, AI research, pathogen surveillance, or scientific collaborations?

Email: info@prepareafrica.org

Citizenship: Kenyan