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Y. Samuel Wang is an Assistant Professor at Cornell University with a focus on discovering interpretable structures that underlie data generating processes. He has a strong background in statistics, having completed his PhD in Statistics at the University of Washington. Prior to his position at Cornell, he worked as a principal researcher in a post-doctoral role at the University of Chicago’s Booth School of Business. His research interests include causal discovery, graphical models, and mixed membership models, particularly in high-dimensional settings where the number of variables is large compared to the number of observed samples. He received his undergraduate degree in Applied Mathematics and Economics from Rice University and has experience working as a management consultant before pursuing his PhD studies.
University of Chicago’s Booth School of Business • Chicago, IL
Conducted research in statistical modeling and data analysis.
Department of Architecture