hazard-modeling

Graph based python library for computing resilience metrics for power distribution systems.

Tools for accessing, processing, and analyzing Copernicus seasonal forecasts — compute heat-related indices and generate CLIMADA-compatible hazards.

Real-time Earth intelligence platform — 150+ peer-reviewed scientific equation engines, AI cognition, and live 3D geospatial visualization on CesiumJS.

Advanced survival analysis using ASA‑aligned methods, including Cox PH modeling, Kaplan–Meier curves, hazard estimation, diagnostics, and reproducible time‑to‑event workflows. Built as a professional portfolio project demonstrating modern statistical survival modeling.

Mortality Prediction via Cox regression

First Author undergrad research work supervised by Dr. Samuel Wong at University of Waterloo in the prediction performance of functional survival models.