Introduction
Biometry Unit deals with Statistics, Mathematics and Biometry. It plays a critical role in the development of sound and effective agricultural research practice in the mother Department and Faculty of Agriculture at large. It services all Undergraduate and postgraduate programmes in mathematics, Statistics and biometry in the Faculty of Agriculture. It also offers research support and consultancy services in experimental designs, data collection, data analysis and participatory research.
Career opportunities exist in agricultural research institution, agricultural firms, environmental firms, agricultural firms, agricultural extension service, agricultural and environmental consultancy services institutions, agrochemical firms, tertiary institutions and agribusiness.
Students conducting lab tests at the College
Biometry Unit deals with Statistics, Mathematics and Biometry. It plays a critical role in the development of sound and effective agricultural research practice in the mother Department and Faculty of Agriculture at large. It services all Undergraduate and postgraduate programmes in mathematics, Statistics and biometry in the Faculty of Agriculture. It also offers research support and consultancy services in experimental designs, data collection, data analysis and participatory research.
Career opportunities exist in agricultural research institution, agricultural firms, environmental firms, agricultural firms, agricultural extension service, agricultural and environmental consultancy services institutions, agrochemical firms, tertiary institutions and agribusiness.
Peter Nyamumbo Mongare is a lecturer in the Department of Plant Science and Crop Protection at the University of Nairobi, where he teaches Mathematics and Statistics. He holds a Bachelor of Science degree in Mathematics (1986) and a Master of Science degree in Mathematical Statistics (1988). With extensive academic training and years of experience in quantitative disciplines, Peter supports students and researchers in applying mathematical and statistical principles within agricultural and plant science contexts. His work reflects a commitment to high-quality teaching, analytical rigor, and the advancement of data-driven approaches in crop protection and related fields.
Elias Otieno Obudho is a Kenyan national and an accomplished Statistician/Biometrics Lecturer with extensive experience in agricultural and social science research. He holds a Master’s degree in Mathematical Statistics and a Bachelor of Science degree in Mathematics, both from the University of Nairobi, Kenya. In addition, he earned a postgraduate certificate in Research Methods for Agronomists from the Wye College, University of London.
Mr. Obudho is currently engaged in teaching, research, research supervision, and consultancy. He advises graduate students and researchers on biometrical issues, research methodologies, experimental design, and data analysis. With over 20 years of experience in research design and methodology, he has contributed significantly to advancing evidence-based agricultural and social science research.
His professional experience includes statistical consulting for both local and international organizations, as well as serving as a resource person in various trainings and workshops. He has supported capacity building in areas such as participatory on-farm research, experimental design, and applied statistics, bringing both expertise and practical insight to the academic and research communities.
Mrs. Kurji ( Retired from Service) she had a Master of Science (Statistics) and a Bachelor of Science (Pure & Applied Mathematics) from the University of Nairobi in 1971 and 1969, respectively.
She teaches Mathematical Techniques to Undergraduate Engineering students; Mathematics & Statistics to undergraduate Veterinary Students; Mathematics and Statistics to undergraduate Agriculture and Food Science and Technology students; Statistics and Design of Experiments to postgraduate students in Animal Production and various disciplines of Agriculture University of Nairobi. She is a member on the Editorial Board of the East African Statistics Journal. She assists in the facilitation of RUFORUM
Douglas Khamila is an Assistant Chief Technologist in the Department of Plant Science and Crop Protection at the University of Nairobi, where he supports students in the Biometry Laboratory. He holds a Bachelor of Philosophy in Applied Statistics from the Technical University of Kenya (2014) and a Master of Science in Applied Statistics (2018). With strong academic training and extensive experience in quantitative disciplines, Khamila assists students and researchers in applying statistical principles within agricultural and plant science contexts. His work demonstrates a commitment to high-quality research, analytical rigor, and the advancement of data-driven approaches in crop protection and related fields.
