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Statistics Department Seminar Series: Jing Lei, Associate Professor, Department of Statistics and Data Science, Carnegie Mellon University

To be announced
Friday, February 19, 2021
10:00-11:00 AM
Jing Lei is an Associate Professor of Statistics and Data Science at Carnegie Mellon University. His main research area is statistical theory and methodology, including:
Analyzing statistical properties of some popular methods and algorithms in machine learning and engineering, such as the particle filter, spectral clustering, and sparse PCA; Developing new statistical methods that are suitable for high-dimensional, complex data, including dimension reduction, regression, clustering, hypothesis testing, etc;
Understanding the meaning and properties of relevant concepts and methods in related fields from a statistical perspective, such as data privacy, data assimilation, and conformal prediction. These insights will usually lead to useful improvements or modifications.
Building: Off Campus Location
Location: Virtual
Event Link:
Event Type: Workshop / Seminar
Tags: seminar
Source: Happening @ Michigan from Department of Statistics, Department of Statistics Seminar Series