Jiawen Chen

Jiawen Chen

Teaching Assistant @ Yale University

About Jiawen Chen

Jiawen Chen is a Teaching Assistant at Yale University with a background in data science and software systems. She has studied at prestigious institutions in both China and the United States, earning degrees in computer science, management, and biostatistics.

Current Role at Yale University

Currently, Jiawen Chen serves as a Teaching Assistant at Yale University, a position held since 2022. In this role, Chen contributes to the Data Science Software System course, providing support to students and assisting in the instructional process. This position follows a previous role as a Research Assistant at Yale University for two months in 2022.

Educational Background

Jiawen Chen possesses a diverse educational background, having studied at multiple institutions. Chen earned a Master of Science in Data Science with a focus on Biostatistics from Yale University, completing the program from 2021 to 2023. Prior to this, Chen completed two Bachelor's degrees at Nanjing University, one in Computer Science from 2020 to 2021 and another in Management from 2016 to 2020. Additionally, Chen participated in an exchange program at the University of California, Berkeley for 11 months in 2018.

Professional Experience

Jiawen Chen has accumulated professional experience in data science and software systems through various roles. In 2022, Chen worked as a Software Development Engineer Intern at Amazon for three months in the Greater Seattle Area. Additionally, Chen served as a Data Science Consultant Intern at Roland Berger for five months in 2020. These roles have contributed to Chen's expertise in the field.

International Academic Experience

Jiawen Chen has gained international academic experience through studies in both China and the United States. This includes participation in an exchange program at the University of California, Berkeley, as well as completing degrees at Nanjing University. This diverse educational experience has provided Chen with a broad perspective in the fields of data science, computer science, and management.

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