Xiaoying Wu
About Xiaoying Wu
Xiaoying Wu is a Data Science Intern at Vianai Systems, Inc., where she focuses on natural language processing techniques. She holds a Bachelor of Science in Chemical Engineering from UC Irvine and a Master of Science from Columbia Engineering.
Work at Vianai
Xiaoying Wu has been working as a Data Science Intern at Vianai Systems, Inc. since 2021. In this role, she focuses on various aspects of data science, particularly in natural language processing (NLP). Her work includes exploring advanced learning techniques such as zero shot and few shot learning for text classification, which contribute to the development of more efficient NLP models.
Education and Expertise
Xiaoying Wu holds a Bachelor of Science in Chemical Engineering from UC Irvine, where she studied from 2016 to 2019. She furthered her education at Columbia Engineering, earning a Master of Science in Chemical Engineering in 2021. Her academic background provides a strong foundation for her work in data science, particularly in applying engineering principles to data analysis.
Background
Before joining Vianai Systems, Xiaoying Wu worked at Columbia Engineering as part of an academic project focused on Chemical Engineering Data Analysis in 2020. This role lasted four months and took place in New York, United States. Her experience in this position helped her develop skills in data analysis and project management.
Research Contributions
Xiaoying Wu has made significant contributions to the field of natural language processing. She has developed NLP model explainability packages aimed at enhancing the interpretability of machine learning models. Additionally, she has investigated semi-supervised and reinforcement learning approaches to tackle NLP challenges, particularly in scenarios with limited labeled data.