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Dana Yang is an Assistant Professor in the Department of Statistics and Data Science at Cornell Bowers University. She joined Cornell in 2022 after completing the prestigious Simons-Berkeley fellowship, during which she participated in the Computational Complexity and Statistical Inference program at UC Berkeley. Prior to her current position, Yang was a postdoctoral associate at Duke University's Fuqua School of Business, where she engaged in research focusing on advanced statistical methodologies and applications. She holds a Bachelor of Science degree in Mathematics from Tsinghua University, as well as a Master of Arts and a Ph.D. in Statistics from Yale University. Yang’s research interests encompass statistical learning, computational statistics, and mathematical modeling, contributing to the advancement of data science methodologies. Her work enhances understanding of complex data structures and improves inferential frameworks.
Duke University Fuqua School of Business • Durham, NC
Worked on various statistical modeling projects to enhance business decision-making.
Department of Computer Science - PhD program focus on research leadership.