Felicity Nduku Musau
Trainee Type:
Masters Fellow, Sub-Saharan Africa Advanced Consortium for Biostatistics (SSACAB II)
Felicity Nduku Musau is a Master of Science in Statistics student at Pwani University, supported by the Sub-Saharan Africa Advanced Consortium for Biostatistics (SSACAB). She holds a Postgraduate Diploma in Data Science and Machine Learning from Moringa School—awarded under the Women in Tech scholarship—and a Bachelor of Science in Mathematics (Statistics) from Pwani University (2022).
She is currently based at the KEMRI-Wellcome Trust Research Programme (KWTRP) in Kilifi, Kenya, where her thesis research explores the dynamics of SARS-CoV-2 in Kenya. Specifically, she applies Bayesian inference models to analyze viral load patterns using Cycle threshold (Ct) value distributions. Felicity is proficient in R and Python, and she is expanding her programming skills in Julia. Her research interests lie at the intersection of biostatistics, epidemiological modelling, and machine learning with a strong focus on using data-driven methods in infectious and non-infectious disease modelling to tackle global health challenges.
Beyond her academic work, Felicity is passionate about mentorship and capacity building in data science. In May 2024, she was appointed as an Associate Editor for the AI Dialogue Magazine, representing Africa in collaboration with the University of Calgary, Canada. She contributed a feature article titled “The Synergy: Medical Statistics and AI Meet Bioinformatics – A Paradigm Shift in Healthcare,” showcasing the transformative role of interdisciplinary approaches in modern health research.
In August 2024, she was selected as a trainer for the ENabling Girls in AI and Growing Expertise (ENGAGE) in Data Science Project at Pwani University—an initiative in collaboration with the University of California, San Francisco, and the University of Nairobi. This opportunity deepened her commitment to supporting and inspiring young women in STEM.
Most recently, Felicity was selected as one of 25 top talents from across Africa to attend the prestigious, fully funded 5th Big Data Africa School (BDAS) organized by the South African Radio Astronomy Observatory (SARAO) in Cape Town. Representing Pwani University, she deepened her expertise in machine learning, deep learning, and cloud-based analytics—reinforcing her dedication to leveraging technology and data science to address healthcare disparities across the continent.