Presenter

Pei Zhang is a computational scientist at ORNL. She is broadly interested in solving multiscale multiphysics problems using data-driven and physics-based modeling approaches. Her recent work focuses on graph neural networks (GNNs) and large language models (LLMs) for molecular properties, efficient reinforcement learning (RL) algorithm development, and dimension reduction for stiff chemical dynamic systems.