CAIS 2026 Organizing Committee
The team responsible for delivering the inaugural ACM Conference on AI and Agentic Systems.
Heather Miller
CMU & Two Sigma
General Co-Chair
Assistant Professor at Carnegie Mellon and VP at Two Sigma. Recipient of the Dahl-Nygaard Prize and ACM SIGPLAN Software Award for her work on Scala. Her research bridges distributed systems and AI infrastructure, including work on DSPy and the Language Model System Interface Model.
Matei Zaharia
UC Berkeley & Databricks
General Co-Chair
Associate Professor at UC Berkeley and Co-founder/CTO of Databricks. Creator of Apache Spark, MLflow, and Delta Lake. Lead author of "The Shift from Models to Compound AI Systems" and co-creator of DSPy. Winner of the ACM Doctoral Dissertation Award.
Deepti Raghavan
Brown University
Workshop Co-Chair
Assistant Professor at Brown CS. Her ALTO system provides network orchestration for compound AI pipelines, achieving 3× throughput improvements. PhD from Stanford under Matei Zaharia. NSF Graduate Research Fellow with expertise spanning ML systems and networking.
Lingjiao Chen
Microsoft Research
Workshop Co-Chair
Senior Researcher at Microsoft Research AI Frontiers. Co-author of the foundational compound AI systems blog post and co-organizer of the inaugural Compound AI Systems Workshop. His FrugalML work (NeurIPS 2020 Oral) enables 90% cost reduction in ML deployments.
Jared Quincy Davis
Mithril
Steering Committee
Founder and CEO of Mithril, building AI infrastructure for compound and agentic systems. Stanford PhD under Matei Zaharia and Jure Leskovec. Former Google DeepMind researcher; co-author of "Rethinking Attention with Performers" (11,000+ citations).
Interested in getting involved?
We're looking for reviewers, volunteers, and sponsors to help make CAIS 2026 a success.