Joshua Cape
Scholar

Joshua Cape

Google Scholar ID: 7IaIUvEAAAAJ
University of Wisconsin–Madison
StatisticsSpectral MethodsNetworksMachine LearningMatrix Analysis
Citations & Impact
All-time
Citations
1,096
 
H-index
16
 
i10-index
17
 
Publications
20
 
Co-authors
21
list available
Resume (English only)
Academic Achievements
  • Research supported by grants NSF DMS 2413552, NSF SES 1951005, NSF DMS 1902755, and WARF
  • Consultant for NIH grant 1R01MH137090-01
  • Multiple papers accepted in Statistical Science, Neural Networks, Journal of Computational and Graphical Statistics, Journal of Nonparametric Statistics, and Computational Statistics and Data Analysis
  • Published a survey in Statistical Science on statistical guarantees for stochastic blockmodel random graphs (January 2025)
  • Manuscript on estimation, inference, and asymptotics for latent position graphs (January 2025)
  • Summer 2025 preprints and publications on multiple network analysis, spectral embedding geometry, and extreme value theory for singular subspace estimation
Background
  • Assistant Professor of Statistics at the University of Wisconsin–Madison
  • Research interests include: Statistical Machine Learning, Multivariate Statistics, Network Analysis, Spectral Methods, Matrix Analysis
  • Theoretical work develops statistical methods and theory for complex data problems involving networks and graphs
  • Applied work addresses problems in natural sciences (neuroscience, biology) and social sciences (economics, sociology) involving dimensionality reduction, inference, and structure discovery
  • Associate Editor for Journal of Business and Economic Statistics, Computational Statistics and Data Analysis, and Journal of Statistical Planning and Inference
  • Member of the Math Alliance
  • Actively recruiting self-motivated graduate students with strong backgrounds in mathematical and statistical sciences