From noisy physiology to stable descriptors.
How we structure measurement primitives so drift can be tracked reliably at the individual level.
Blog
Notes from TimeTrace Labs.
Short writing on measurement science, physiological modelling, and how we build practical systems for noisy healthcare time-series.
Why measurement and world models belong together.
A practical look at when the model should amplify signal and when it should defer to constrained measurement.
Building healthcare infrastructure with physics discipline.
What we brought from particle physics and quantitative research into modern physiological machine learning.