Noah D. Gade, Ph.D.

Bio

I am an Assistant Professor in the Department of Statistical Sciences at Wake Forest University. I started at Wake Forest in the Summer of 2024. My research interests include nonlinear temporal processes, change point detection, Granger causality, representation learning, functional data analysis, and applications to neuroscience, meteorology, economics, and sports statistics. I completed my PhD in 2024 at the University of Virginia under the advisement of Dr. Jordan Rodu.

I enjoy teaching courses on time series analysis, multivariate statistics, probability, regression, and data visualization. 

Education

• Ph.D. Statistics, University of Virginia, 2024

• M.S. Quantitative Financial Economics, Oklahoma State University, 2019

• B.S. Chemical Engineering, Oklahoma State University, 2017

Publications

Preprints Under Review

• Gade, N. D. and J. Rodu. (2024+). Change Point Detection with Bidirectional Echo State Networks. preprint arXiv:2308.06213.

• Gade, N. D. and J. Rodu. (2024+). Nonlinear Permuted Granger Causality. preprint arXiv:2308.06220.

Works In Progress

• Gade, N. D.  Domain-Partitioned Granger Causality.

• Gade, N. D.  Characterizing Dangerous Tornado Paths.

• Gade, N. D.  Matrix Completion Applied to Individual Rank-Based Sports.