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Melody Huang is an Assistant Professor in the Department of Statistics and Data Science. She specializes in areas of political science that intersect with statistical methodologies and data analysis. Her research focuses on the application of data science techniques to understand complex political behaviors and trends. Huang is passionate about utilizing quantitative methods to explore and address real-world issues in political dynamics. She is actively involved in teaching and mentoring students in statistical methods, data analysis, and their applications in the social sciences. Prior to her current position, she gained substantial experience in both academic and research environments, contributing to important projects that bridge the gap between statistical theory and practical application in political science.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.