Summary
Zachary Todd is a research-focused software engineer and PhD candidate at the University of Canterbury with a decade of experience building image processing, deep learning, and computer vision solutions. As a Research Associate and long-time member of the Spatial And Image Learning (SAIL) group, he develops machine learning methods for object instance localization, classification, and segmentation in lidar and 360° panoramic imagery. He combines academic rigor from a PhD in Computational and Applied Mathematics with practical teaching and lab development experience as a lecturer and former tutor for applied data science courses. Past industry and applied roles—from SQL-driven data engineering to .NET QA automation—give him a pragmatic systems perspective that complements his research. Known for bridging research and application, he frequently turns complex spatial data challenges into reproducible experiments and teaching materials.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at University of Canterbury