Agnes Njambi Wanjau

Agnes Njambi Wanjau is a Data Analyst at the Alliance of Bioversity International and CIAT, with over eight years of experience in applied statistics, survey design, and evidence synthesis across food, land, and water systems research in Kenya and the wider region. She holds an MSc in Applied Statistics from Jomo Kenyatta University of Agriculture and Technology, and her career spans research institutions including RCMRD, the High Lands Centre for Leadership for Development, and AMREF Health Africa, alongside several years teaching statistics and statistical application at JKUAT, GRETSA University, Murang'a University of Technology, and the Kenya Institute of Management.
Her core strength lies in designing and delivering rigorous, reproducible data pipelines, from survey instrument design (ODK, SurveyCTO, XLSForm) through cleaning, quality assurance, and analysis (R, Python, SPSS, STATA), for projects ranging from climate adaptation, agricultural insurance, and gender-responsive research. She has led survey data work for projects including iSPARK, the aMaizing Crop Insurance Project, and the USAID-funded GAIINS initiative. She has led and produced original research directly, serving as first author on two separate studies: the iSPARK baseline study establishing adaptation and livelihood indicators for 400 smallholder households in Kisumu County (2025), under the iSPARK project led by the Alliance, University of Leeds, and IITA; and the baseline dataset on crop insurance uptake and agricultural practices across five Kenyan counties (2024), under the aMaizing Crop Insurance Project. She is also lead author of a modular training curriculum on index-based agricultural insurance for extension officers in Togo (2025), developed under the Global Center on Adaptation's Togo project. She has additionally contributed as a co-author to multi-institutional work, including the Alliance-IITA-University of Leeds ISRA-iShamba metrics report on evaluating climate-smart agricultural innovations in western Kenya (2026).
In 2026, her team’s iSPARK impact evaluation case was one of six studies selected from a competitive, CGIAR-wide call to join the CGIAR MELIAF Kenya Activator's indicator testing initiative, helping shape a harmonized framework for measuring CGIAR's outcomes and impacts in Kenya. As a 2025 AWARD Women in Data Science Fellow, she is extending her foundation in data science into natural language processing and large language models, currently developing analyzing farmer advisory queries at scale.
Njambi is a member of the International Biometric Society.