Research Interests
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Computational Social Science
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Data Science and Statistical Modeling
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Applied Natural Language Processing and Machine Learning
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Human-Centered Large Language Models and Generative AI
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Sport Analytics
Biography
As an Assistant Professor of Scholar Support and Data Services (SSDS), I teach computational methods that enhance the research capabilities of faculty, staff, and students while fostering digital literacy. My research focuses on computational social science, investigating the intersection of computational methods and human behavior analysis. Specifically, I apply data science techniques—including Statistical Inference, Natural Language Processing, Machine Learning, and Deep Learning—to understand, analyze, and predict human decision-making and behavior.
Committees:
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Interdisciplinary Graduate Minor in Applied Statistics (GMAS) Committee
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Lecture Series Committee
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Library Digital Scholarship Committee
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Library Artificial Intelligence Committee
Education
M.A. Economics, Pennsylvania State University (2018)
Ph.D. Informatics, Pennsylvania State University (2024)