Keith Levin

Keith Levin is an Assistant Professor in the Department of Statistics at the University of Wisconsin-Madison, part of the School of Computer, Data & Information Sciences. He holds a Ph.D. in Computer Science from Johns Hopkins University (2017) and completed a postdoctoral fellowship at the University of Michigan. His research focuses on network analysis, dimension reduction, and statistical inference in complex systems, with applications to neuroscience and speech processing. Levin teaches courses on computational tools for data science and has developed methodologies for network bootstrapping, latent space modeling, and spectral graph analysis. His work bridges theoretical statistics with practical machine learning challenges, particularly in high-dimensional data settings.

Research Interests:
- Network analysis and community detection
- Dimensionality reduction techniques
- Latent space models and graph embeddings
- Applications in neuroscience and speech processing
- Statistical methods for large-scale data

Selected Contributions:
- Developed bootstrap methods for network data analysis
- Advanced spectral embedding techniques for graph inference
- Authored tools for clustering and motif detection in stochastic blockmodels