wildfire-modeling

High-school research portfolio: 2 peer-reviewed publications (IEEE, IJHSR) + 3 active projects spanning quantum-inspired ML, computational biology, biomedical imaging, wildfire RL, and science-education research. Stanford Medicine, UCLA COSMOS & UCSB SRA affiliated.

Welcome to my Wildfire capstone project. This project develops a classification model to predict wildfires management complexity levels. This is a wildfire risk, size, and impact based project.

Engineering and applied research in stochastic modeling, machine learning, statistics, and quantitative finance.

2D conceptual toy model simulating anomalous heat propagation (fractional diffusion / Lévy flights) and spotting phenomena in 6th-generation wildfires, solved efficiently via spectral methods in Python.

An interactive Earth Observation Web App built with Streamlit, Google Earth Engine, and Sentinel-2 to assess wildfire severity and land cover impact.