Sir-Lord
Wiafe

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.

I work at every layer: the mathematics of operator decomposition and state-space modeling, the algorithms in MATLAB and Python, and the software that actually ships. As Lead Software Engineer at The Inter-regional Bridge Group I ran a 5-person team building microservices in NodeJS, TypeScript, and MongoDB, improving throughput by about 70%, and before that I 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. I test them on the brain because it is the most complex signal environment I know of, but they carry over to any system where time-varying interactions matter, whether that is finance, robotics, energy, communications, or autonomous systems.

I hold an NSF CREST DMAP Fellowship and the DANA Foundation NeuroEngage Fellowship, with 27 publications across IEEE, MIT Press, and Nature journals.