Author: Ryoma Sato
Ryoma Sato is Assistant Professor at the National Institute of Informatics, Japan, specializing in graph neural networks, optimal transport, and efficient deep learning. He is the author of 'Theory and Algorithms of Optimal Transport' (2023) and 'Graph Neural Networks' (2024). He is a former IOI Japan representative and ACM-ICPC World Finalist, as well as lead developer of Readable, an AI-powered PDF translation service.
