Edimah SYNESIUS SONGO
Applied Mathematician · Bayesian inference · Calibration · Uncertainty quantification
I’m an applied mathematician. I work on measurement: Bayesian inference, calibration, uncertainty quantification, sensitivity analysis and hypothesis testing — first on physical models (EDF R&D, IFP Energies nouvelles / ONERA), now on AI models and public-health data.
What interests me: getting inside models, and producing numbers about them that hold up under outside scrutiny. Every post here asks one question: how would I know whether to trust this?
Recent work: a calibration bench for secret-loyalty detectors (Apart Research, July 2026) · detecting an LLM-agent swarm in public edit logs (Apart Research × CeSIA, September 2026).
Recent writing
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Modelling MNAR data with population data #2 : Where do the blanks cluster?
The blanks are not spread evenly. Where they concentrate decides which question the data can honestly answer.
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Modelling MNAR data with population data #1 : Why is this cell blank?
A blank cell in the pathology data is a decision, not an absence, and the decision depends on the number it hides.
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Incidence du cancer de la prostate en France d'Outre Mer et Métropolitaine
Visualiser l'écart d'incidence entre des territoires français ultramarins et l'Hexagone en 2022.