Yanguang Lin
About Yanguang Lin
Yanguang Lin is the Director of Data Science at Canary Medical Inc., a position he has held since 2022. He has extensive experience in data science and engineering, having worked at Quantcast in various roles and holding advanced degrees in Electrical Engineering and Statistics from the University of Southern California.
Current Role at Canary Medical
Yanguang Lin serves as the Director of Data Science at Canary Medical Inc. since 2022. In this role, he is responsible for leading data science initiatives and overseeing the development of analytical models that support the company's objectives. His position is remote, allowing him to contribute to the organization from various locations.
Previous Experience at Quantcast
Prior to his current role, Lin held multiple positions at Quantcast. He worked as a Senior Engineering Manager for Audience Signal from 2021 to 2022. Before that, he served as a Modeling Scientist from 2014 to 2016, and then as a Senior Modeling Scientist from 2016 to 2018. He continued to advance within the company, becoming a Senior Engineering Manager for Audience Modeling from 2020 to 2021, and finally a Staff Modeling Scientist from 2018 to 2020.
Academic Background
Yanguang Lin earned a Doctor of Philosophy (Ph.D.) in Electrical Engineering from the University of Southern California, where he studied from 2008 to 2014. He also obtained a Master of Science (M.S.) in Statistics from the same institution, completing his studies from 2010 to 2013. Earlier, he received a Bachelor of Science (B.S.) in Electrical and Electronics Engineering from Tsinghua University, where he studied from 2004 to 2008.
Research and Internship Experience
Lin has a diverse background in research and internships. He worked as an Undergraduate Research Assistant at Tsinghua University for five months in 2007. He also served as a Research Assistant at the University of Southern California for six years, from 2008 to 2014. Additionally, he gained practical experience as an Algorithm Development Intern at GE Healthcare for three months in 2011 and as a Software Engineering Intern at the Institute of Automation, Chinese Academy of Sciences for five months in 2007.