I build machine learning pipelines for satellite and sensor data: air quality, land surface temperature, and environmental monitoring. Formerly an astronomer; now pointed at Earth instead of quasars.
Toolkit
Geospatial & EO
Machine Learning
MLOps & Cloud
Programming & Data
Selected projects
Wildfire Impact Analysis Using Satellite Imagery
Burn severity analysis of a 2025 wildfire near Latakia, Syria, using Sentinel-2 imagery and the dNBR index to classify fire impact. Burn extent validated against Copernicus Emergency Management Service data, achieving 89% accuracy and ~86% IoU.
View writeup →ECOSTRESS LST Downscaling
Sharpens ECOSTRESS land surface temperature from 70m to 10m resolution using Sentinel-2 and elevation data, validated across seven cities from Toronto to Cairo.
View writeup →Geospatial Environment Monitor
An MLOps pipeline for environmental monitoring built on Sentinel-2 spectral indices, with experiment tracking and automated deployment.
View writeup →Background
Education
Western University
PhD, Astronomy · London, ON, Canada · 2016
Insights from Unsupervised Clustering and Composite Spectral Analysis into the Physical Properties Driving Emission and Absorption in Quasar UV/Optical Spectra
Publications
Astro research
A summary of the research conducted during my PhD using machine learning to analyze quasar optical/UV spectra. View research →