Ruoying Li
About Ruoying Li
Ruoying Li is a software engineer with a strong background in electrical engineering and computer science. He has significantly improved data processing efficiency at Canary Medical Inc. and has experience in developing data science platforms and migrating data processing pipelines.
Work at Canary Medical
Ruoying Li has been employed as a Software Engineer at Canary Medical Inc. since 2022. In this role, Li focuses on developing and optimizing software solutions to enhance medical data processing. The position is based in the San Francisco Bay Area, where Li contributes to the company's mission of improving healthcare technology.
Previous Experience at Quantcast
Before joining Canary Medical, Ruoying Li worked as a Software Engineer at Quantcast from 2020 to 2022. During this time, Li was involved in various software development projects, contributing to the company's data analytics capabilities. This experience helped to solidify Li's expertise in software engineering within a fast-paced tech environment.
Research Assistant Role at Worcester Polytechnic Institute
In 2019, Ruoying Li served as a Research Assistant at Worcester Polytechnic Institute for a duration of three months. This role allowed Li to engage in research activities, further developing skills in data analysis and software development within an academic setting.
Education and Expertise
Ruoying Li holds a Bachelor of Engineering in Electrical Engineering from Donghua University, where studies were completed from 2013 to 2017. Li furthered education by obtaining a Master of Science in Electrical Engineering and Computer Science from the University of Michigan, studying from 2017 to 2019. This educational background provides a strong foundation in both electrical engineering and software development.
Technical Achievements
Ruoying Li has made significant contributions to data processing efficiency. Notably, Li designed a new Python pipeline that improved data processing time by 14 times compared to a previous Matlab-based system. Additionally, Li developed a data science modeling platform capable of processing over 2.5 billion kinematic data points into clinically valuable metrics, showcasing expertise in handling large datasets.