Work experience of Christian Bile · view experience --timeline

R&D unit tackling France's medical deserts as a geo-economic optimisation problem: which levers — salaries, benefits, incentives — best attract healthcare workers to under-served areas, under constraints of travel distance, local demand and supply, and the number of doctors, nurses and other practitioners available. I owned the data layer: reproducible Python/pandas pipelines that ingest, clean and join public health, demographic and geographic datasets; road-network travel times computed at scale with OSRM; everything shipped as Docker services so analysts and the optimisation model work from one trusted, versioned dataset.

Research internship at the French national institute for digital science (HyAIAI interpretable-AI lab). Proposed a framework that mines neuron values correlated with a DNN classifier's correct and wrong predictions, to detect future mispredictions.

Travel-sector internship: built machine-learning and deep-learning models that forecast Customer Lifetime Value from travellers' characteristics and purchase behaviour — completed successfully.