Rate My Professor Zablon Njiru

Zablon Njiru is a Lecturer in University Preparation Pathways at Murdoch University. He completed his PhD at Murdoch University's School of Veterinary and Life Sciences from 2003 to 2006. Subsequently, he undertook a Postdoctoral Fellowship in the School of Health Professions at Murdoch University from 2006 to 2007. Njiru has held positions including at the School of Professional Health, Peel Campus, Mandurah, and the School of Health Professions, Mandurah Campus, at Murdoch University. He also served as a postdoctoral fellow in the School of Veterinary Science at the University of Queensland.

Njiru's research focuses on molecular diagnostics for parasitic diseases, with expertise in developing loop-mediated isothermal amplification (LAMP) tests for Trypanosoma species causing human African trypanosomiasis (sleeping sickness), Trypanosoma evansi, and Mycobacterium ulcerans. Notable publications include 'Loop-Mediated Isothermal Amplification (LAMP) Method for Rapid Detection of Trypanosoma brucei rhodesiense' (2008, PLOS Neglected Tropical Diseases), 'Rapid and Sensitive Detection of Mycobacterium ulcerans by Use of a Loop-Mediated Isothermal Amplification Test' (2012, Journal of Clinical Microbiology), 'Stem loop-mediated isothermal amplification test: comparative study of different detection methods for the rapid identification of Trypanosoma brucei rhodesiense' (2017, BMC Research Notes), 'A Molecular Xenomonitoring Test for Sleeping Sickness' (2017, Journal of Tropical Medicine), and 'Lateral Flow Loop-Mediated Isothermal Amplification Test with Stem Primers: Detection of Trypanosoma brucei rhodesiense' (2018). He has authored 44 research works garnering over 2,184 citations. Njiru received a University of Queensland Postdoctoral Fellowship, a Murdoch University Postdoctoral Fellowship, a University of Queensland postgraduate grant, and an international grant from the Foundation for Innovative New Diagnostics for novel diagnostics for human African trypanosomiasis. He participated in a WHO-FIND consultative meeting on sleeping sickness diagnostics in 2014, advancing field-applicable tools for resource-limited settings.