Xiaoyi Yuan
About Xiaoyi Yuan
Xiaoyi Yuan is a Senior Data Scientist at FINRA, where he has worked since 2021. He holds a PhD in Computational Social Science from George Mason University and has experience in natural language processing and machine learning.
Work at FINRA
Xiaoyi Yuan has been serving as a Senior Data Scientist at FINRA since 2021. In this role, Yuan applies advanced data analysis techniques to support regulatory functions and enhance market integrity. Prior to this position, Yuan worked as a Data Scientist at FINRA from 2020 to 2021, contributing to various data-driven projects aimed at improving financial oversight. The work at FINRA is based in the Washington DC-Baltimore Area, where Yuan utilizes expertise in data science to address complex challenges in the financial industry.
Education and Expertise
Xiaoyi Yuan earned a Doctor of Philosophy (PhD) in Computational Social Science from George Mason University, completing the program from 2015 to 2020. During this time, Yuan focused on utilizing natural language processing techniques and applied machine learning and deep learning algorithms to geo-social problems. Prior to the PhD, Yuan obtained a Master's degree in Communication, Culture and Technology from Georgetown University from 2013 to 2015. Yuan also holds a Bachelor's degree from China University of Political Science and Law, completed from 2009 to 2013.
Background
Xiaoyi Yuan began their academic journey at China University of Political Science and Law, where they completed a Bachelor's degree. Following this, Yuan pursued a Master's degree at Georgetown University, which laid the foundation for advanced studies in computational social science. Yuan's professional experience includes roles as a Graduate Teaching Assistant and Graduate Research Assistant at George Mason University, as well as a Research Intern at Time Warner Cable. These positions provided practical experience in data analysis and research methodologies.
Research Experience
Xiaoyi Yuan has significant research experience in the field of computational social science. While at George Mason University, Yuan worked as a Graduate Student Researcher from 2018 to 2020, focusing on natural language processing and machine learning applications. This research involved analyzing social data and developing algorithms to address geo-social issues. The experience gained during this period contributed to Yuan's expertise in applying data science techniques to real-world problems.