Suzanne Prentice
About Suzanne Prentice
Suzanne Prentice is a Software Engineer currently employed at Oak Ridge National Laboratory since 2021. She has a background in software development and research, having worked at various organizations including SpursTech, Blackbaud, and the University of South Carolina.
Current Position at Oak Ridge National Laboratory
Suzanne Prentice currently serves as a Software Engineer at Oak Ridge National Laboratory. She has been in this role since 2021, contributing her expertise in software development and engineering. Oak Ridge National Laboratory is known for its research in various scientific fields, and Prentice's role involves working on projects that support the laboratory's mission.
Previous Experience at SpursTech
Prentice worked at SpursTech as a Software Developer from 2020 to 2021 for a duration of 2 months. Prior to this, she was also employed at SpursTech in 2020 for 5 months. During her time at SpursTech, she gained practical experience in software development within the Charleston, South Carolina Metropolitan Area.
Internship at Blackbaud
In 2019, Suzanne Prentice completed a Software Engineering Internship at Blackbaud for 3 months. This internship took place in the Charleston, South Carolina Area and provided her with valuable exposure to software engineering practices in a professional setting.
Educational Background at University of South Carolina
Suzanne Prentice studied Computer Science at the University of South Carolina, where she earned her Bachelor's degree from 2016 to 2020. Her education provided her with a strong foundation in software engineering principles and practices, which she has applied throughout her career.
Research Experience at University of South Carolina
Prentice served as a Supplemental Instructor at the University of South Carolina in 2019 for 11 months. Additionally, she worked as an Undergraduate Research Assistant from 2017 to 2019 for 2 years. These roles allowed her to engage in academic research and support fellow students in their learning.