Zachary Todd in

Zachary Todd

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Research Associate at University of Canterbury
📍 Christchurch, Canterbury, New Zealand

Zachary Todd is a PhD student and Research Associate at the University of Canterburys Spatial and Image Learning (SAIL) group. He specializes in image processing, deep learning, and computer vision, with a research focus on road surface distress detection. He holds certifications in AWS SageMaker and ROS.

Outside of his direct research, Zachary has a keen interest in the practical application of technology, demonstrated by previous roles in software engineering and database management. His academic interests include NVIDIA, a key player in the hardware that powers his research, and Spark New Zealand for its role in national infrastructure.

He is the winner of the University of Canterburys 3MT (Three Minute Thesis) competition for the Department of Mathematics and Statistics, a prestigious award for science communication.

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Experience
6 Years
Current Role
Research Associate
Location
Christchurch, Canterbury, New Zealand
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Priorities

Topics Zachary cares about

Deep Learning
His PhD thesis and multiple publications focus on applying deep learning methods for detecting and classifying objects like traffic signs and road distress in complex imagery.
Computer Vision
A core area of his work within the SAIL research group, focusing on processing and extracting objects from omnidirectional and LiDAR data for infrastructure assessment.
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Career

Work history

7-2024
Research Associate
University of Canterbury
11-2023
Lecturer
University of Canterbury
11-2019 - 10-2024
Tutor
University of Canterbury
12-2016 - 3-2017
Software Engineering Intern
FIS
11-2015 - 2-2016
Database Technician
St John of God Hauora Trust
In the press

Media appearances

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Education
2020 - 2025
Doctor of Philosophy - PhD
University of Canterbury
2018 - 2019
Master's degree
University of Canterbury
Social presence
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Behavioral profile

DISC profile (public)

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