About Me
I am a mathematician and machine learning researcher interested in the geometry and structure of data. My current work focuses on graph neural networks for combinatorial optimization — specifically, how hybrid filter banks and localized attention mechanisms can help solve NP-hard problems on graphs in an unsupervised setting.
I am drawn to research that starts with a deep theoretical question and follows it through to practical impact. My background spans topological data analysis, graph signal processing, and scalable data engineering — and I am actively pursuing doctoral study to go further.
Background
MSc in Mathematical Sciences (Data Science track), AIMS Rwanda. BSc in Mathematics & Computer Science, University of Ghana.
Previously worked as a data engineer, designing and maintaining scalable data pipelines and workflows. This experience strengthened my computational and problem-solving skills.
