I am an NSF Post-doctoral Fellow at Colorado State University. I use machine learning, explainable artificial intelligence (XAI), and a variety of climate models to understand and predict the tropical atmosphere.
I hold a Ph.D. in Applied Math and Atmospheric Science from Columbia University.
Using simple, explainable neural networks to predict the Madden-Julian oscillation, Zane Martin, Elizabeth Barnes, and Eric Maloney, 2021, submitted to Journal of Advances in Modeling Earth Systemts, preprint at https://www.essoar.org/doi/abs/10.1002/essoar.10507439.2 (PDF; supplemental PDF)
The influence of the quasi-biennial oscillation on the Madden–Julian oscillation, Zane Martin, Seok-Woo Son, Amy Butler, Harry Hendon, Hyemi Kim, Adam Sobel, Shigeo Yoden, and Chidong Zhang, 2021, Nature Reviews Earth & Environment, 1-13
Large-scale state and evolution of the atmosphere and ocean during PISTON 2018, Adam Sobel, Janet Sprintall, Eric Maloney, Zane Martin, Shuguang Wang, Simon de Szoeke, Benjamin Trabing, Steven Rutledge, 2021, J. Clim.