Andrew Karani Mwongera is a biostatistician and health data scientist working at the intersection of statistics, machine learning, and population health, with a particular focus on Sub-Saharan Africa. He holds an MSc in Applied Statistics (2026) from Zhejiang University of Science and Technology, China, completed under the Chinese Government Scholarship, and a BSc in Statistics (2017) from the University of Nairobi. His three years in China also gave me working proficiency in Mandarin.

His master’s research compared ARIMA and LSTM models for forecasting health outcome trajectories across Kenya, Uganda, and Tanzania using three decades of WHO data. Prior to joining BRIDGE NETWORK, He worked as a mixed-methods researcher and data analyst across health, social science, and development sectors.

He is a full member of the Statistical Society of Kenya and a selected participant of the 2024 Tsinghua University Global Program on Innovation and Entrepreneurship.

He is currently a PhD Research Fellow under the BRIDGE NETWORK programme, based at the Aga Khan University BRIDGE NETWORK Node for Women and Child Health in Nairobi, Kenya.

His doctoral research focuses on applying robust causal inference methods to routine health system data, with cervical cancer screening and treatment outcomes in Kenya as the primary application, using HPV infection as the infectious disease anchor. Alongside this, he is developing interests in health data harmonization through the OMOP Common Data Model and Mendelian randomization as complementary methodological directions.