Senior Research Fellow | Jomo Kenyatta University of Agriculture and Techno | Kenya
Dr. Amos Kipkorir Langat, Ph.D., is a highly accomplished statistician, academic, and economist with expertise in Bayesian analysis, machine learning, spatial statistics, and public health modeling. He earned his Ph.D. in Mathematics (Statistics) from the Pan African University Institute for Basic Sciences, Technology and Innovation, his MSc. in Applied Statistics from Jomo Kenyatta University of Agriculture and Technology (JKUAT), and his BSc. in Economics and Mathematics from Kabarak University. Currently, he serves as a Lecturer at JKUAT and Senior Economist at the County Government of Bomet, with previous teaching roles at Maasai Mara and Kabarak Universities. His research spans statistical modeling of infectious diseases, HIV risk factors, maternal health, survival and time series analysis, and measurement error models. He has supervised MSc. and Ph.D. students across Africa, authored over 30 peer-reviewed publications, and contributed to journals such as Scientific African, Asian Journal of Probability and Statistics, and Annals of Medicine & Surgery. Dr. Langat has secured prestigious awards including the AU Ph.D. Scholarship and SICSS research funding, and he actively contributes as a reviewer and conference organizer. His technical expertise includes proficiency in R, Python, STATA, SAS, SPSS, WinBUGS/OpenBUGS, and advanced econometric tools. A member of the Royal Statistical Society, ISCB, IBS, and the Kenya National Statistical Society, he also demonstrates a strong commitment to community service through educational leadership roles. Dr. Langat exemplifies a dedicated scholar, mentor, and researcher advancing applied statistics in public health and beyond
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Featured Publications
1. Langat, A., Orwa, G., & Koima, J. (2017). Cancer cases in Kenya; forecasting incidents using Box & Jenkins ARIMA model. Biomedical Statistics and Informatics, 2(2), 37–48. Cited by: 21
2. Benki-Nugent, S. F., Martopullo, I., Laboso, T., Tamasha, N., Wamalwa, D. C., … [and others]. (2019). High plasma soluble CD163 during infancy is a marker for neurocognitive outcomes in early-treated HIV-infected children. JAIDS Journal of Acquired Immune Deficiency Syndromes, 81(1), 102–109. Cited by: 14
3. Mutinda, J. K., & Langat, A. K. (2024). Stock price prediction using combined GARCH-AI models. Scientific African, 26, e02374. Cited by: 10
4. Mutinda, J. K., & Langat, A. K. (2024). Modeling the impact of air pollution and meteorological variables on COVID-19 transmission in Western Cape, South Africa. International Journal of Mathematics and Mathematical Sciences, 2024(1), 1591016. Cited by: 5
5. Mutinda, J. K., & Langat, A. K. (2024). Capital asset pricing model: A renewed application on S&P 500 index. Asian Journal of Economics, Business and Accounting, 24(6), 226–239. Cited by: 4