Jiaqian Yu
About Jiaqian Yu
Jiaqian Yu is a Teaching Assistant at The George Washington University, where he has worked since 2019. He holds a PhD in Statistics from The George Washington University and has extensive experience in data analysis and statistical methodologies from various internships and academic positions.
Work at The George Washington University
Jiaqian Yu has been working as a Teaching Assistant at The George Washington University since 2019. This role involves supporting faculty in the Department of Statistics, assisting with course materials, and providing guidance to students. Yu's tenure at the university spans five years, contributing to the academic environment in the Washington D.C. Metro Area.
Education and Expertise
Jiaqian Yu holds a Doctor of Philosophy (PhD) in Statistics from The George Washington University, which was completed from 2019 to 2023. Prior to this, Yu obtained a Master of Arts in Statistics from Columbia University in the City of New York, studying there from 2017 to 2019. Yu also earned a Bachelor of Science in Applied Mathematics from East China Normal University, completing the degree from 2013 to 2017. Additionally, Yu participated in an exchange program at New York University Shanghai, enhancing cross-cultural academic experience.
Professional Experience
Jiaqian Yu has a diverse professional background in data science and statistical analysis. Yu interned at Amazon as a Data Scientist Intern in 2020 and again as a Data Scientist II Intern in 2021, both for three-month periods in Seattle, Washington. Yu also worked as a Financial Engineering Intern at CIB Research in Shanghai for three months in 2017 and as a Data Analysis and Simulation Intern at Philips Lighting from 2016 to 2017. Additionally, Yu served as an Associate in the Department of Statistics at Columbia University for three months in 2019.
Research Contributions
During the academic career, Jiaqian Yu contributed to research as a Research Assistant at Columbia University from 2018 to 2019. This role focused on statistical methodologies, where Yu worked on various statistical projects. The experience gained in this position, along with the academic training, has equipped Yu with a strong foundation in research and data analysis.