Zuofu Huang, a faculty member in the Department of Statistics, is seeking one or more undergraduate research assistants to help complete at least one statistical paper. The paper aims to use data synthesis methods as a prediction tool for categorical sequences such as human activity data. The project will involve extending existing statistical analyses, applying penalized regression methods, and preparing the manuscript for submission to a peer-reviewed statistics journal. Work is expected to start during Fall 2026 and extend throughout at least the end of Spring 2027. Students will work closely with Professor Huang and receive guidance throughout the project. Students who make substantial contributions to the research and manuscript may have the opportunity to be included as co-authors on the paper. Because the peer-review process for statistics journals can be lengthy, publication may occur after the student’s formal involvement in the project has ended.
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