Joshua Cape

Joshua Cape 

NSF Mathematical Sciences Postdoctoral Research Fellow
Department of Statistics
University of Michigan

E-mail: jrcape AT umich DOT edu

323 West Hall
1085 South University Avenue
Ann Arbor, MI 48109–1107

[arXiv ID]
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About

I am currently a National Science Foundation Mathematical Sciences Postdoctoral Research Fellow in the Department of Statistics at the University of Michigan, hosted by Elizaveta (Liza) Levina. Previously, I completed my Ph.D. in Applied Mathematics and Statistics at Johns Hopkins University, advised by Carey E. Priebe and Minh Tang. In the fall of 2020 I will join the Department of Statistics at the University of Pittsburgh as a tenure-track Assistant Professor. My current research interests include:

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

On the theoretical side, my research focuses on developing statistical theory for networks (graphs) and on examining the mathematical foundations of data science. On the applied side, I work on problems arising in neuroscience and biology that involve dimensionality reduction, inference, and structure discovery.

Education

Selected Publications

Preprints

Upcoming and Recent Talks

Conference on Computational and Methodological Statistics London, UK Dec. 2019 (invited)
UW-Madison Department of Statistics Madison, WI Sept. 2019 (invited)
Joint Statistical Meetings Denver, CO July 2019 (invited)
Joint Statistical Meetings Denver, CO July 2019
IMS Meeting of New Researchers in Statistics and Probability   Fort Collins, CO    July 2019
The 33rd New England Statistics Symposium Hartford, CT May 2019 (invited)
Heilbronn Institute for Mathematical Research Bristol, UK Mar. 2019 (invited)

Teaching

I am not teaching during this academic year (2019–20).