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David Choi is an Associate Professor in the Department of Statistics and Data Science at Carnegie Mellon University. He previously worked as a research scientist at MIT Lincoln Laboratory and served as a visiting scholar in the Department of Statistics at the University of California, Berkeley. David completed his graduate studies at the Information Systems Laboratory in the Department of Electrical Engineering at Stanford University, where he was advised by Benjamin Van Roy. He earned his PhD from Stanford University in 2004. His research interests encompass a wide array of statistical methodologies and machine learning techniques, particularly in relation to network data. He specializes in exploratory data analysis, community detection, and causal inference, with a keen interest in understanding the effects of social networks on various phenomena.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.