Lizhen Lin

Lizhen Lin is a Professor of Statistics in the Department of Mathematics at the University of Maryland. Her research bridges statistical theory, Bayesian methods, and machine learning through theoretical and applied work in statistics on manifolds, deep learning, and network analysis.

• University: University of Maryland
• Department: Mathematics
• Email: lizhen01@umd.edu
• Office: Kirwan 1107

Her research focuses on:

• Foundations of deep neural networks via statistical theory
• Bayesian modeling for infinite-dimensional and high-dimensional data
• Geometry and statistics for manifold-valued data
• Network analysis with covariates and topological structures
• Robust optimization and inference on non-Euclidean spaces

Recent publications emphasize:

• Bayesian community detection and stochastic blockmodels
• Variational inference and posterior contraction
• Manifold-adaptive deep generative models
• High-dimensional change point detection
• Applications to microbiome networks and DNA topology

Teaching includes courses on linear models (STAT 741) and statistical foundations of deep learning (STAT 818).