Time-series forecasting, uncertainty, causality, public health
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I build calibrated probabilistic forecasting and causal modeling frameworks for population health and risk monitoring. I combine conformal prediction, diffusion, and graph learning with environmental and surveillance data to deliver adaptive early warnings and decision support.
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