Noah D. Gade

Bio

I am an Assistant Professor in the Department of Statistical Sciences at Wake Forest University. I completed my PhD in 2024 at the University of Virginia under the advisement of Dr. Jordan Rodu.

My research focuses on characterizing nonlinear dependence in temporal and spatial processes, statistical machine learning, representation learning, and causal inference (specifically Granger causality). 

Application areas include:

• neural data

• environmental science

• economics and finance

• physiology and exercise science

• sports statistics

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. (2023+). Change Point Detection with Conceptors. preprint arXiv:2308.06213.

• Gade, N. D. and J. Rodu. (2023+). Nonlinear Permuted Granger Causality. preprint arXiv:2308.06220.