Vivian Chen
About Vivian Chen
Vivian Chen is a Machine Learning Intern at the San Diego Supercomputer Center, where she focuses on performance evaluations of supercomputers and code optimization. She holds a Bachelor's degree in Data Science from the Halıcıoğlu Data Science Institute at UC San Diego, where she studied from 2020 to 2024.
Work at San Diego Supercomputer Center
Vivian Chen is currently employed as a Machine Learning Intern at the San Diego Supercomputer Center (SDSC), a position she has held since 2023. In this role, she conducts performance evaluations on SDSC's supercomputer, specifically focusing on multicore comparisons of Dask and Spark code. Additionally, she has executed the conversion of legacy code comparisons between Spark and Dask, contributing to the optimization of computational processes.
Education and Expertise
Vivian Chen studied at the Halıcıoğlu Data Science Institute at UC San Diego, where she pursued a Bachelor's degree in Data Science from 2020 to 2024. Her education has provided her with a strong foundation in data science principles and practices, equipping her with the skills necessary for her current role in machine learning and computational performance evaluation.
Projects and Contributions
During her internship, Vivian Chen developed comprehensive tutorials for Spark and Dask. These tutorials are aimed at future optimization efforts, indicating her commitment to enhancing the understanding and application of these technologies within the data science community. Her work contributes to the ongoing development of resources that support learning and efficiency in data processing frameworks.
Background
Vivian Chen has a background in data science, which she has cultivated through her academic studies and practical experience. Her role at the San Diego Supercomputer Center allows her to apply her knowledge in a real-world setting, focusing on machine learning and performance evaluation of advanced computing systems.