Presenter

Peng Ding is a PhD student at the University of Chicago and a visiting student at Argonne National Laboratory, working at the intersection of scientific computation and AI infrastructures. His research primarily focuses on tool use agents, multi-agent orchestration and communication, and developing scalable agentic frameworks. Peng is particularly passionate about enabling massive multi-agent collaboration with real-world interaction capabilities.
His work addresses fundamental challenges in building robust systems that facilitate seamless coordination among AI agents while handling complex computational tasks. By bridging scientific computing with advanced AI technologies, he aims to advance collaborative intelligence systems.
Beyond his academic pursuits, Peng is an enthusiastic open-source software contributor and developer, both as a research vehicle and a personal passion. He believes in open collaboration to accelerate innovation and make advanced AI infrastructure more accessible, creating systems that deliver practical solutions for scientific discovery and everyday applications.