AI & ML interests

Building a model of models: learning when forecasts deserve confidence, when models fail together, and where surprises emerge. Exploring probabilistic forecasting, uncertainty calibration, ensemble learning and cross-domain transfer across weather, health, economics and markets. Open models, reproducible benchmarks and forecasting tools for agents.

models 0

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datasets 0

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