Lauren Hahn

Lauren Hahn

Undergraduate Researcher @ The George Washington University

About Lauren Hahn

Lauren Hahn is an undergraduate researcher at The George Washington University, where she has worked as an Undergraduate Learning Assistant since 2021. She has previous internship experience at various institutions, including the Montgomery County District Court and the Maryland General Assembly.

Work at The George Washington University

Lauren Hahn has been actively engaged at The George Washington University since 2021. She serves as an Undergraduate Learning Assistant, a role she has held for three years. In addition to her teaching responsibilities, she is also an Undergraduate Researcher, contributing to research initiatives within the university. Her involvement in the OpenNetVM research team focuses on high-performance network functions virtualization (NFV), highlighting her commitment to advancing knowledge in this area.

Education and Expertise

Lauren Hahn studied Computer Science at The George Washington University from 2019 to 2023. Her academic journey provided her with a solid foundation in computer science principles and practices. This educational background supports her research and teaching roles, equipping her with the necessary skills to contribute effectively to her field.

Internship Experience

Lauren Hahn has gained practical experience through various internships prior to her current roles. In 2019, she completed a paid summer internship at the Montgomery County District Court, where she worked for two months. In 2018, she interned at the Maryland General Assembly for two months during the summer. Additionally, in 2017, she completed a summer internship at the Montgomery County Circuit Court, also lasting two months. These internships provided her with valuable insights into the workings of the legal system.

Research Contributions

As a member of the OpenNetVM research team at The George Washington University, Lauren Hahn contributes to projects that focus on high-performance network functions virtualization (NFV). Her involvement in this research area demonstrates her interest in exploring advanced networking technologies and their applications. This role complements her academic pursuits and enhances her practical experience in computer science.

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