Theonille Mukamana, Rwanda


QLA brings together a multidisciplinary team of scholars to lead the development of our priority research programs. Drawing on expert talent from across the world, QLA works with only the best.

Theonille Mukamana, Rwanda
PHD Student

Mukamana received a Bachelor of Science in Applied Mathematics from National University of Rwanda, I worked on drought time series forecasting in Rwanda. After completing my undergraduate, I undertook a Master of Science in Mathematical Sciences at the African Institute for Mathematical Sciences (AIMS). While studying at AIMS, I worked on handling missing data in the analysis of environmental data. I also obtained a Master of Science in Mathematical Modeling and Scientific Computing from the National School of Engineering of Tunis where I worked on Application of Stochastic Control in Finance. Currently, I am PhD student in Data Science at AIMS(Rwanda) working on Deep Learning BSDE with Applications in Quantitative Finance.

Her research interests include Data Science, Climate change, Statistics and Operation research.

Her research projects include deep learning BSDE with applications in Quantitative Finance, application of stochastic control in finance, handling missing data in the analysis of environmental data, drought time series forecasting in Rwanda and
Modelling the economic value of climate services for smallholder farmers in


Outreach activities:
Ambassador for Committee for Women in Mathematics (CWM) in Rwanda, in charge of disseminating information and keep in CMW informed about activities in their environment.

She loves travelling, reading, playing the piano, and swimming