Joshua Cape

Joshua Cape 

Assistant Professor
Department of Statistics
University of Pittsburgh

E-mail: joshua DOT cape AT pitt DOT edu

1802 Wesley W. Posvar Hall
230 South Bouquet Street
Pittsburgh, PA 15260

[Google Scholar]
[arXiv ID]


In addition to being an Assistant Professor of Statistics, I currently serve as an Associate Editor for the Journal of Statistical Planning and Inference. Previously, I spent one year as a National Science Foundation Mathematical Sciences Postdoctoral Research Fellow in the Department of Statistics at the University of Michigan. I completed my Ph.D. in Applied Mathematics and Statistics at Johns Hopkins University in Baltimore, Maryland.

My current research interests include:

— Statistical Machine Learning
— Multivariate Statistics
— Network Analysis
— Matrix Analysis

On the theoretical side, my research develops statistical theory for complex data problems, often involving networks and graphs. My work also examines the mathematical foundations of data science via the study of matrices. On the applied side, I work on problems arising in the natural sciences (currently, neuroscience and biology) and in the social sciences (currently, economics and sociology) that involve dimensionality reduction, inference, and structure discovery.

My research is supported by NSF grants DMS-1902755 and SES-1951005. I am grateful for past research support during my studies from the NSF, NIH, DARPA, and JHU. Any opinions, findings, and conclusions or recommendations are those of the author(s) and do not necessarily reflect the views of funding agencies.


What's New

Upcoming and Recent Talks

Conference on Computational and Methodological Statistics       virtual       Dec. 2022
Joint Statistical Meetings       TBD       Aug. 2022
Conference on Computational and Methodological Statistics       virtual       Dec. 2021
Joint Statistical Meetings       virtual       Aug. 2021
International Conference on Econometrics and Statistics       virtual       June 2021


Preprints may differ from published papers in terms of content and formatting.



Spring 2022  —  STAT 1632 / 2640: Intermediate Mathematical Statistics  —  Canvas site

Fall 2021  —  STAT 2221: Advanced Applied Multivariate Analysis  —  Canvas site