I'm a computational systems engineer with a background in Electrical Engineering (KNUST, Ghana) and a PhD in Computer Science at Georgia State University. I design and build analytical frameworks for complex dynamical systems — the kind of infrastructure that turns raw, high-dimensional time-series data into something you can actually reason about and act on.
My engineering work spans the full stack: from the mathematics of operator decomposition and state-space modeling, through algorithm design and MATLAB/Python implementation, to production software delivery. I've shipped microservice infrastructure as Lead Software Engineer at The Inter-regional Bridge Group (NodeJS, TypeScript, MongoDB — 5-person team, 70% throughput improvement) and built ML pipelines for fault detection in electrical systems at KNUST.
The frameworks I build — DyCoM, Warp Quantification Analysis, Complex-Valued Phase Synchrony, Functional Inertia — are all representation-agnostic. They were stress-tested on the brain because that's the most complex signal environment there is. But they apply to any system where time-varying interactions matter: finance, robotics, energy, communications, autonomous systems.
I hold an NSF CREST DMAP Fellowship and the DANA Foundation NeuroEngage Fellowship, with 26 publications across IEEE, MIT Press, and Nature journals. I'm currently building agentic AI systems and actively seeking engineering roles where rigorous systems thinking meets real-world complexity.