Gage DeZoort

Physics × AI Researcher

Machine learning researcher and physicist specializing in graph neural networks, graph transformers, and scalable deep learning for scientific data. I build principled architectures with an emphasis on optimization stability, hyperparameter transfer, and robust inference.

Portrait of Gage DeZoort

Selected work

Test accuracy versus depth on Cora and stochastic block models, comparing vanilla GNNs with residual aggregation and residual connections

Principles for Initialization and Architecture Selection in Graph Neural Networks 2025

Training deep GNNs through careful initialization, mitigating oversmoothing, and overcoming correlation collapse.

Detector cross-section showing particle tracks, tracker hits, and calorimeter layers

Graph Neural Networks at the Large Hadron Collider 2023

Surveying state of the art GNNs applied to a broad range of particle physics tasks.

Selected tutorials

Creative Side Quests

Guitar has been a lifelong hobby. I keep a public profile of my playing at @gagedezoort.music.

Gage DeZoort performing live on guitar
Gage DeZoort playing a progressive metal set
Gage DeZoort playing bass under stage lights

Contact