The Data, Agents, and Processes Lab (DAPLab) at Columbia University is building the foundations for a future where AI agents safely and reliably automate complex work. We bring together researchers in data systems, applied AI, operating systems, HCI, algorithms, and business to invent the infrastructure, algorithms, and design principles needed to deploy agents in the real world.

Our work spans the full stack—from systems and training frameworks to human–agent interaction, process automation, and digital twins. We build open-source tools, collaborate closely with industry partners, and prototype agentic technologies that reimagine how work gets done. Based in the heart of New York City—home to some of the world’s largest enterprises—we are uniquely positioned to explore how agent automation transforms real organizational processes. DAPLab is a home for students, researchers, and partners who want to shape the next generation of AI-native systems.

For more information about the lab, please contact ewu@cs.columbia.edu