Renee Chao
About Renee Chao
Renee Chao is a Quality Engineering Intern at NeoLight, LLC, where she assists in Quality Regulatory Affairs. She holds a Bachelor's degree in Biomedical/Medical Engineering from Arizona State University and has experience as a Student Researcher-Data Analyst at Barrow Neurological Institute.
Work at NeoLight
Renee Chao currently serves as a Quality Engineering Intern at NeoLight, LLC. In this role, she assists in Quality Regulatory Affairs, working under the guidance of Amy Oakes. Her responsibilities include supporting quality assurance processes and ensuring compliance with regulatory standards. This position has allowed her to apply her academic knowledge in a practical setting, contributing to the company's mission of advancing healthcare solutions.
Education and Expertise
Renee Chao studied at the Ira A. Fulton Schools of Engineering at Arizona State University, where she earned a Bachelor's degree in Biomedical/Medical Engineering from 2017 to 2021. This educational background provides her with a solid foundation in engineering principles and biomedical applications, equipping her with the skills necessary for her current roles in quality engineering and data analysis.
Background
Prior to her current internship, Renee Chao worked at the Ira A. Fulton Schools of Engineering at Arizona State University as an Instructional Aide for four months in 2021 and as a Teacher Assistant for four months in 2019. These positions involved supporting faculty and assisting students, enhancing her communication and organizational skills. Additionally, she served as a Microsoft Student Ambassador at Educat from 2019 to 2020, where she promoted Microsoft technologies and resources among her peers.
Current Research Role
Renee Chao has been working as a Student Researcher-Data Analyst at Barrow Neurological Institute since 2020. In this role, she engages in data analysis related to neurological research, contributing to the advancement of medical knowledge in this field. Her experience in research complements her engineering background, allowing her to integrate data-driven insights into her work.