Edimah SYNESIUS SONGO

Applied Mathematician · Statistical Frameworks for AI Measurement · Bayesian Inference

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I’m an applied mathematician working at the intersection of statistical inference and AI measurement. My background spans Bayesian model calibration in energy systems, data chain reliability in regulated public health, and independent consulting in statistical modelling for health and finance. I’m building toward rigorous evaluation frameworks for AI systems in high-stakes, EU-regulated environments — where the gap between what a model claims to do and what it actually does has real consequences.

What I am working on:

  • Statistical frameworks for AI conformity assessment (EU AI Act risk tiers)
  • Data chain audit methodology for regulated public health systems — case study in progress
  • Technical AI Safety course (BlueDot Impact, in progress)