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.
No public activity