Daniel Mtai Mwanga

Posted on by David Waiganjo

Daniel Mtai Mwanga

Senior Data Scientist

ABOUT Daniel Mtai Mwanga

Daniel Mwanga is a senior data scientist with an interest in data science methods such as machine learning, joint modeling of longitudinal and time-to-event outcomes, spatial modeling, computational statistics, impact evaluation studies, and the use of new technologies to improve data systems. His interests also intersect with data governance processes.

He currently works with the Data Science and Evaluation team, mainly supporting teams in statistical analysis, data science, and project management functions. He leads data governance activities functions at the Center.

Daniel is a PhD candidate in Mathematical Statistics. His PhD focuses on statistical and data science methods for handling missing data due to attrition in longitudinal and multi-stage cross-sectional studies. He has a Master of Science in Statistics from Jomo Kenyatta University of Agriculture and Technology, a Master of Arts in Monitoring and Evaluation (M&E) of Population and Development Programmes from the University of Nairobi, and a Bachelor of Science in Statistics from Kenyatta University. He previously worked as a Research Fellow at APHRC, as a Program officer (Statistician/Data Manager) in the Data Management Unit at the Population Council, and as a Statistician at the Kenya Medical Research Institute (KEMRI) – Wellcome Trust Research Programme. Among other projects, he was the data manager in the nationally representative Violence Against Children Survey (VACS) 2019, where he provided technical expertise in data management, analysis, and development of the M&E plan for the National Prevention and Response Plan. He has published over three dozen papers as an author or co-author in peer-reviewed journals.

Daniel is driven by a passion for quality and using available technologies to make data processes more efficient.

For extra activities, he plays chess, badminton, and table tennis.