Chao Zhao
About Chao Zhao
Chao Zhao is a Senior Developer specializing in algorithms for business applications at Kinaxis, with a strong background in supply chain algorithms and telecommunications. He holds a Ph.D. in Electrical and Computer Engineering from McGill University and has previously worked at Microsemi Corporation and as a Research Assistant at McGill University.
Current Role at Kinaxis
Chao Zhao holds the position of Senior Developer, Algorithms, Business Applications at Kinaxis. He has been with the company since 2019, contributing to the development of supply chain algorithms that support customer planning. His work in this role is particularly relevant in today's dynamic supply chain environment.
Previous Experience at Microsemi Corporation
Before joining Kinaxis, Chao Zhao worked at Microsemi Corporation as a Senior Embedded Software Engineer from 2014 to 2019. During his five-year tenure in the Ottawa, Canada Area, he focused on developing clock synchronization products that are essential for high-speed wired and wireless networks.
Academic Background
Chao Zhao has a robust academic background in engineering. He earned a Bachelor of Engineering (B.E.) in Electrical, Electronics and Communications Engineering from Harbin Institute of Technology from 2002 to 2006. He continued his studies at the same institution, obtaining a Master of Science (M.S.) in Electronics and Communication Engineering from 2006 to 2008.
Research Experience at McGill University
Chao Zhao served as a Research Assistant at McGill University from 2008 to 2014. During this six-year period in the Montreal, Canada Area, he worked on signal processing algorithms for telecommunications. He also completed his Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering at McGill University from 2008 to 2013.
Expertise in Supply Chain Algorithms
Chao Zhao specializes in supply chain algorithms that enhance customer planning capabilities. His expertise in this area is critical, especially in the context of modern supply chain challenges. His work aims to provide effective solutions for optimizing supply chain operations.