Ryan Lee

Ryan Lee

About Ryan Lee

Ryan Lee is a Data Science Fellow currently working at Lawrence Livermore National Laboratory. He has a background in Mechanical Engineering from the University of California, Merced, and has contributed to bioinformatics research through his fellowship.

Work at Lawrence Livermore National Laboratory

Ryan Lee currently holds the position of Data Science Fellow at Lawrence Livermore National Laboratory, where he has been employed since 2023. His role is remote, allowing him to contribute to various data science initiatives. Prior to this, he worked on-site at the same laboratory for three months in 2023 as part of his Data Science Fellowship. During his fellowship, he developed a bioinformatics tool for a project focused on the human gut on a chip, showcasing his skills in bioinformatics and data analysis.

Education and Expertise

Ryan Lee is pursuing a degree in Mechanical Engineering at the University of California, Merced, where he has been enrolled from 2021 to 2025. His educational background includes a high school diploma from Crescenta Valley High School, which he completed from 2017 to 2021. His academic journey has provided him with a strong foundation in engineering principles and data science methodologies.

Background

Ryan Lee began his academic career at Crescenta Valley High School, where he studied from 2017 to 2021. Following high school, he attended the University of California, Merced, focusing on Mechanical Engineering. In addition to his studies, he has been active in various roles within the academic community, including serving as an Executive Board Member for ACM UCM since 2022 and previously as a Website Project Lead from 2021 to 2022.

Achievements

Ryan Lee received a fellowship from the Livermore Lab Foundation, which supports his work in bioinformatics research. This fellowship enabled him to develop a specialized bioinformatics tool during his Data Science Fellowship at Lawrence Livermore National Laboratory. His contributions to the human gut on a chip project reflect his commitment to advancing research in this area.

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