Summary
Martha Luka is a data-driven infectious disease researcher and computational biologist with eight years’ experience applying genomics and epidemiological modelling to respiratory viruses, including rhinovirus, influenza, SARS-CoV-2 and rabies. Currently a Wellcome Trust PhD fellow and research assistant at the University of Glasgow, she combines R, RShiny and Python expertise to build models that predict health and economic impacts of intervention strategies. Her work spans whole-genome sequencing protocol development, transmission inference from sequence data, and public-health-focused predictive models—skills she previously applied at the MRC-University of Glasgow CVR and KEMRI–Wellcome Trust. Notably, she developed a new rhinovirus whole-genome sequencing protocol and has translated molecular lab experience into reproducible computational pipelines and actionable epidemiological insights. Based in Glasgow, she seeks collaborations that bridge genomics, modelling and policy to improve infectious disease control.
8 years of coding experience
1 year of employment as a software developer
Kenya Certificate of Secondary Education, A, Kenya Certificate of Secondary Education, A at Alliance Girls' High School
Master of Science - MSc, Bioinformatics, Master of Science - MSc, Bioinformatics at Pwani University
Bachelor of Science (BSc), Medical Laboratory Science and Technology, Bachelor of Science (BSc), Medical Laboratory Science and Technology at University of Nairobi
Doctor of Philosophy - PhD, Integrative Infection Biology, Doctor of Philosophy - PhD, Integrative Infection Biology at University of Glasgow
English, German, Swahili, kamba