Data, Agents and Process Lab (DAPLab)

Agents have the potential to transform how humans, companies, and economies function, yet also introduce systemic risks at every level of technology and society.

The goal of the DAPLab is to pursue research to make agent-based automation accountable, reliable, and efficient, and thus trusted within organizations.

The lab pursues this vision by combining expertise across systems (OS, data, cloud), AI (ML, RL, NLP, computer vision, robotics), human-computer interaction, and operations research.

Faculty Members

Adam Elmachtoub, IEOR, pricing, and market design. NSF CAREER, IBM faculty award, Forbes 30 under 30.

Baishakhi Ray, CS, Software Engineering, Neurosymbolic learning. NSF CAREER, VMWare, and IBM faculty awards, IEEE CS TCSE Rising Star Award.

Lydia Chilton, CS, Human-Centered AI. Facebook, Adobe, and Amazon awards.

Zhou Yu, CS, NLP. Alexa prize winner, Forbes 30 under 30.

Kostis Kaffes, CS, Systems. Meta Research Award, former Google Visiting Faculty.

Junfeng Yang, CS, Systems, Security. Sloan fellow, Air Force YIP awardee, NSF CAREER.

Eugene Wu, CS, Data management. NSF CAREER, VLDB 2018 Test-of-time, Google, Adobe, Amazon awards.

Shipra Agrawal, IEOR, Reinforcement learning. Proved first optimality bounds of Thompson’s sampling (core algorithm in RL). NSF CAREER.

Daniel Hsu, CS, Machine Learning Theory. Sloan fellow and AI’s 10 to Watch in 2015. Co-chair of ICML 2025.

Carl Vondrick, CS, Computer vision. PAMI Young Researcher Awardee, NSF CAREER. Senior program chair for ICLR 2025.

Yunzhu Li, CS, Robotics and agents. Best Papers at ICRA, CoRL. Sony Faculty Innovation Award.

David Blei, CS and Statistics, Machine Learning. Inventor of Latent dirichlet allocation (LDA).

Advisory Board

Richard Zemel, CS, AI. Director NSF AI Institute for Artificial and Natural Intelligence.

Michael Franklin, CS, UChicago. Founder of Berkeley’s AMPLab.