The National Science Foundation has awarded Carnegie Mellon University’s Jing Lei and Ryan Tibshirani Faculty Early Career Development (CAREER) awards.
Lei and Tibshirani, both assistant professors in the Dietrich College of Humanities and Social Sciences’ Department of Statistics, each received five-year, $400,000 grants for their projects “Modernizing Classical Nonparametric and Multivariate Theory for Large-scale, High-dimensional Data Analysis” and “Locally Adaptive Nonparametric Estimation for the Modern Age — New Insights, Extensions, and Inference Tools,” respectively.
The CAREER Award is the NSF’s most prestigious honor designed to support junior faculty who exemplify the role of teacher-scholars through their outstanding research and excellent teaching.
“These CAREER awards are a testament to the innovative contributions that both Ryan and Jing are making in their research,” said Christopher R. Genovese, head of the Statistics Department. “They are emerging leaders in the field, and their work is advancing our understanding of statistical inference with large, complex and high-dimensional data.