Yanqin Wu

Yanqin Wu is a Chinese-American statistician and data scientist specializing in machine learning, high-dimensional data analysis, and causal inference. She is a professor in the Department of Statistics at the University of California, Los Angeles (UCLA).

Wu's research focuses on developing novel statistical methodologies for analyzing complex datasets, particularly in high-dimensional settings where the number of variables exceeds the number of observations. Her work encompasses a range of topics, including variable selection, model estimation, and prediction in areas such as genomics, neuroimaging, and social science. She is known for her contributions to sparse modeling techniques and their application to real-world problems.

Wu has published extensively in leading statistical journals and has received numerous awards and recognitions for her research contributions. She actively participates in the statistical community through conference presentations, editorial roles, and mentorship of students.