STAI-X Challenge 2026

Forecasting drug-related emergency department visits.

Built a modular XGBoost regression model and time-aware feature engineering pipeline for a mixture-of-experts framework to forecast emergency department visit rates using multimodal public health data. This project was submitted to the 2026 STAI-X Challenge, hosted by the Harvard Departments of Statistics and Biostatistics