Climate and heat stress researcher at UC Berkeley. I build tools that translate climate science into actionable heat risk information for vulnerable populations.
Status: Manuscript under external review Authors: Kilic & Gadgil, UC Berkeley
A physiologically constrained heat index that accounts for variable metabolic heat production (MET levels 3–6) and physiological limits on sweating and vasodilation — extending the Lu & Romps Extended Heat Index for outdoor workers.
Key finding: During heavy labor (5–6 METs), physiological failure is predicted at ~38°C with high humidity, compared to >50°C at rest — a ~10°C shift in the danger threshold affecting 1.6 billion outdoor workers globally.
Tools: Python, NumPy, SciPy, NumbaMinpack, Numba
Live: shram.info Org: IECC, UC Berkeley
Hourly heat stress risk map covering 700+ Indian districts. Computes EHI and physiological zone (1–6) for four labor intensities and sun/shade conditions. Deployed at the NDMA National Workshop on Heat Action Planning (2025).
Stack: Python, Open-Meteo API, GitHub Actions, GeoJSON, JavaScript, Leaflet
Repo: github.com/ekilic-coder/HeatRadar-Horizon
ML pipeline for projecting physiological heat stress in India through 2100 using NASA NEX-GDDP-CMIP6 data across SSP scenarios. Integrates EHI-N* as the heat stress metric.
Stack: Python, NASA AWS S3, NetCDF, xarray, Random Forest, XGBoost
Email: elifkilic@berkeley.edu LinkedIn: linkedin.com/in/elifakilic