Xin Zhang
About Xin Zhang
Xin Zhang is a Research Assistant at George Washington University, specializing in developing models to design chemicals with minimal aquatic toxicity. With a Master's Degree in Statistics and a Bachelor's Degree in Mathematics, Zhang has extensive experience in data analysis and model construction.
Work at The George Washington University
Xin Zhang has been employed as a Research Assistant at The George Washington University since 2014. In this role, Zhang focuses on developing models such as decision trees, Quadratic Discriminant Analysis (QDA), and Linear Discriminant Analysis (LDA) to design chemicals that exhibit minimal acute aquatic toxicity. Zhang is also responsible for paper reviewing as part of the research duties and engages in data cleaning, regression, clustering, and classification model building.
Education and Expertise
Xin Zhang holds a Master's Degree in Statistics from The George Washington University, where studies were completed from 2012 to 2014. Prior to this, Zhang earned a Bachelor's Degree in Mathematics from Zhengzhou University, studying from 2008 to 2012. This educational background provides a solid foundation in statistical methods and mathematical principles, which are applied in current research activities.
Background in Data Analysis
Before the current position, Xin Zhang gained experience as a Data Analyst Intern at Bquipped, LLC in 2014, where the internship lasted for three months in the Washington D.C. Metro Area. Additionally, Zhang worked as a Grader at The George Washington University for three months in 2013. Zhang also served as an Outcome and Performance Intern at CentroNía from 2013 to 2014 for seven months, further enhancing data analysis skills.
Research and Analytical Skills
In the current role as a Research Assistant, Xin Zhang employs creative approaches to variable selection and model construction for data analysis projects. The work involves building sophisticated models that contribute to understanding chemical toxicity and improving data analysis methodologies. Zhang's expertise in statistical modeling and data handling is instrumental in advancing research objectives.