Omondi is a biomedical researcher currently pursuing an MSc in bioinformatics at the University of Glasgow. His passion lies in understanding how molecular and genetic signals drive disease processes. For his MSc research project, he is applying single-cell RNA sequencing to infected mouse tissue to investigate the pathogenesis of blood flukes, building on prior experience in infectious disease biomarker research.

Alongside this, he is undertaking a Health Data Research UK internship where he is exploring computational methods for genetic subsetting, specifically evaluating model-based clustering (MClust in R) as an efficient alternative to multidimensional scaling. This work aims to improve the scalability and automation of genetic population analysis.

Through these experiences, Omondi is developing an interdisciplinary approach that integrates experimental and computational research. He aims to pursue a PhD and contribute to research that advances understanding of disease and addresses pressing health and societal challenges.

Omondi is an intern with

University of Glasgow