Michael Chang
About Michael Chang
Michael Chang is a Software Developer with a background in Computer Science from Simon Fraser University. He has experience in developing signal propagation simulation software and automated image segmentation algorithms, and currently works for the Government of Canada in Burnaby, British Columbia.
Work at Government of Canada
Michael Chang has been employed as a Software Developer at the Government of Canada since 2021, working in Burnaby, British Columbia. His role involves developing software solutions that support various governmental functions. Prior to his current position, he worked at the Government of Canada in 2020 for seven months as a Software Developer in Ottawa, Ontario. His contributions during this time included developing algorithms and software tools that enhance operational efficiency.
Education and Expertise
Michael Chang studied at Simon Fraser University, where he earned an undergraduate degree in Computer Science from 2015 to 2021. His academic background provided him with a strong foundation in software development principles and practices. He has expertise in developing complex software systems, including a ray-tracing engine for signal propagation simulation and automated image segmentation algorithms for analyzing micro-CT volumetric images.
Background
Michael Chang has a diverse professional background in software development and research. He worked as a Research Assistant at Simon Fraser University for two months in 2021, where he contributed to academic projects. Additionally, he has experience as a Software Developer at the Centre for Heart Lung Innovation (HLI) in 2018 for seven months, where he focused on developing software solutions for healthcare applications.
Achievements
Michael Chang developed a ray-tracing engine that simulates signal propagation, producing a 'signal reachability' map used for wireless infrastructure planning. He also created a 'set-cover' based constraint solver that optimizes equipment installation locations for wireless infrastructure. Furthermore, he designed and implemented automated image segmentation algorithms for Fiji plugins, enhancing the analysis of micro-CT volumetric images.