Announcements, courses, and milestones from the lab.
The DAPLab’s Tuesday 12PM research seminar continues in CSB 453 (CS Conference Room). We invite internal and external speakers that can share cutting-edge agent-systems research or can talk about processes in their organizations and how they are trying to automate them.
Realtor.com covered our MortarBench research on AI mortgage origination agents. Top models got nearly 1 in 4 answers wrong under realistic conditions — and showed systematic bias, flagging non-English names as “foreign origin” at 5× the rate of English names. Matthew Toles and Zhou Yu are quoted in the piece.
Haonan Wang has been awarded the inaugural Workday AI PhD Fellowship to pursue his work on Data Lake Agents. The core question: how do you teach an enterprise agent to gather sufficient, traceable evidence from an organization’s heterogeneous data sources and correctly execute the resulting workflow — while satisfying regulatory requirements, organizational policies, role-based permissions, approval hierarchies, fairness constraints, and operational budgets?
A curated, invite-only gathering of industry and academic leaders at the IBM Flagship Office in New York City (June 3, 2026) to discuss trustworthy AI for code. Co-organized by DAPLab (Eugene Wu), Baishakhi Ray (Columbia), Abhik Roychoudhury (NUS), and IBM Research.
We’re publishing a series of posts on what it takes to build data environments for AI agents. The first post lays out the vision; the second digs into why today’s branchable databases aren’t ready for agentic workloads. More posts coming soon.
The 2026 North East AI Agents Day is a one-day workshop that brings together researchers and practitioners across machine learning, systems, and HCI to share progress, compare evaluation practices, and explore opportunities for collaboration on reliable, scalable, and debuggable AI agents.
The program will feature invited talks, lightning talks, posters, and demos. We welcome short abstracts for lightning talks, posters, and demos from teams working on agent foundations, systems, or real-world deployments.
Visit the event website for submission timelines, registration, and logistics.
DAPLab has received a $250K Microsoft Azure credit award through the AARI program to support research on robust generalization in agentic AI. The funding enables work on environment scaling and diversification to improve the reliability of agentic systems in real-world deployments.
The DAPLab is organizing a series of events that bring together Columbia students, faculty, and industry partners to discuss the process of transitioning lessons from research and the classroom into products and value.
The DAPlab’s Tuesday 12PM research seminar in CSB 453 (CS Conference Room) invites speakers that can share cutting-edge agent-systems research or can talk about processes in their organizations and how they are trying to automate them.
We are proud to recognize several outstanding student achievements:
These recognitions highlight DAPLab’s commitment to building reliable, scalable, and impactful AI agent systems. Congratulations to all awardees!
The paper “It’s the Kernel’s Fault! Custom Page Fault Handling With bpf_fault” by Tal Zussman, Riju Dey, Hasan Zengin, Yiming Fang, David Hildenbrand, and Asaf Cidon received the SOSP 2026 Best Paper and Distinguished Artifact awards.
Huge congrats to DAPLab faculty Yunzhu Li and Changxi Zheng, whose robotics startup, SceniX, was acquired by World Labs in July 2026. In September a few months later, AMD announced an agreement to acquire World Labs, bringing the SceniX team’s work on robotics, simulation, and spatial intelligence into AMD.