Francis Chan
About Francis Chan
Francis Chan is a Principal Engineer at Nautilus Biotechnology, where he focuses on AWS architecture and data analytics solutions. He has extensive experience in software engineering and cloud architecture, having held various engineering roles at companies such as NeuLion, DivX, and Hifn Inc.
Current Role at Nautilus Biotechnology
Francis Chan serves as a Principal Engineer at Nautilus Biotechnology since 2023. In this role, he is responsible for designing and implementing AWS architecture for the company's corporate cloud infrastructure. Additionally, he has developed data warehousing and data analytics pipeline solutions, contributing to the company's technological advancements in biotechnology.
Previous Experience at NeuLion
Prior to his current position, Chan worked at NeuLion as a Senior Staff Engineer and Senior Manager from 2015 to 2018. During his three years in San Diego, he played a key role in engineering projects that supported the company's digital media solutions.
Background in Software Engineering
Chan has a diverse background in software engineering, having worked at various companies throughout his career. He held positions at DivX as a Senior Software Engineer from 2006 to 2010 and later as the Director of Engineering from 2018 to 2023. His experience also includes roles at Hifn Inc. and Hospira, where he contributed to software development and engineering efforts.
Educational Qualifications
Chan earned a Bachelor of Science degree in Computer Science from UC San Diego, where he studied from 1996 to 2000. He also obtained a Master's Certificate in Geospatial Intelligence/GIS from the University of Southern California, completing this program in 2018. His educational background supports his expertise in cloud architecture and engineering.
Early Career and NASA Experience
Chan began his career as a Software Analyst at NASA, where he worked in the UCSD Department of Physiology from 1999 to 2000. This early experience laid the foundation for his technical skills and understanding of complex systems in a research environment.