Omega Watermark
Quantitative Researcher & Machine Learning Engineer

Omega Makena Mwebia

Independent researcher and architect of Scarcity.

Who I Am

A Quantitative Researcher and Machine Learning Engineer. I build mathematical models and software architectures that discover structure in chaos.

What I Do

I research and develop intelligent systems capable of learning invariant relationships under extreme data scarcity and non-stationarity.

How I Do It

Through rigorous quantitative analysis and the development of specialized frameworks—primarily Scarcity—that push compute directly to the mathematical boundaries of the problem.

Why I Do It

To understand complex systems. I believe that by modeling what systems retain when they cannot retain everything, we uncover their fundamental organizational identity.

Scarcity

Scarcity is a structure-discovery framework for evolving systems. Explained in simple terms, Scarcity learns the organizational structure of dynamic data and converts it into reusable graph priors for anomaly detection, forecasting, and downstream learning under limited-data conditions.

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Research Notes

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Scarcity Applications

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