Research

Building an Accessible Machine Learning Workflow for Geospatial Analysis
Starting in Fall 2022, I began working with Dr. Matthew Tarling and Dr. Jamie Kirkpatrick at McGill University to develop a deep learning (DL) workflow for geospatial analysis. Inspired by challenges we faced developing a DL model for landslide identification, we decided to create a free, open-source workflow for processing geospatial data and training DL models on the processed data.
Code Slides
Using U-Net to Detect Landslides
During my undergraduate degree, I worked with Dr. James Kirkpatrick and the California Geological survey to develop a custom machine learning model based on U-Net architecture to detect landslides in satellite imagery.
Slides