About
Works in 3D computer vision and LiDAR sensing in the lumber industry. Has built custom ML pipelines and 3D neural network architectures from scratch, deployed on cloud GPU systems — including custom individual tree segmentation models trained on LiDAR point clouds. Work includes AI visualization tools and synthetic data pipelines for training vision models in aerial and forestry settings. Led multi-organizational research with the University of Idaho and MIT on LiDAR applications in forestry. Academic background in mathematics and GIS.
NSERC Graduate Award · 4.33 GPA
Improved the upper bound on the asymptotic square packing problem of Erdős.
Governor General Silver Medal · 4.33 GPA
Publications in Journal of Number Theory, Canadian Mathematical Bulletin, and Western Geography.