CAIS 2026 Committees
The people who shaped the inaugural ACM Conference on AI and Agentic Systems.
Steering Committee
The Steering Committee provides strategic guidance and academic oversight for ACM CAIS, ensuring the conference maintains the highest standards of scientific rigor and relevance to the AI and agentic systems community.
Graham Neubig
Carnegie Mellon University & All Hands AI
Associate Professor in the Language Technologies Institute at Carnegie Mellon University and Chief Scientist at All Hands AI. Creator of OpenHands, the open-source AI agent platform achieving state-of-the-art results on SWE-Bench for agentic code generation. Built TheAgentCompany benchmark for evaluating AI agents on real-world workplace tasks. Area Chair at ACL and NeurIPS. PhD from Kyoto University. 52,000+ citations.
Lingjiao Chen
Microsoft Research
Senior Researcher at Microsoft Research, AI Frontiers Group. PhD from Stanford advised by Matei Zaharia and James Zou. Co-author of "The Shift from Models to Compound AI Systems" and co-organizer of the inaugural Compound AI Systems Workshop. Creator of FrugalML/FrugalGPT for cost-efficient AI. Google PhD Fellow. Work cited in White House 2024 Economic Report.
Jeff Dean
Google DeepMind
Chief Scientist at Google DeepMind and Google Research. Co-lead of Gemini. Designer of MapReduce, BigTable, TensorFlow, and TPUs—foundational infrastructure enabling modern AI systems. Google's 30th employee and one of two Google Senior Fellows. Winner of the ACM Prize in Computing and IEEE John von Neumann Medal. Member of the National Academy of Engineering. 380,000+ citations.
Omar Khattab
MIT EECS & CSAIL
Assistant Professor at MIT EECS and CSAIL. Creator of DSPy, the leading framework for programming and optimizing compound AI systems, and ColBERT, which revolutionized neural information retrieval. PhD from Stanford advised by Matei Zaharia and Christopher Potts. Co-author of "The Shift from Models to Compound AI Systems." Apple Scholars in AI/ML Fellow. Winner of SIGIR 2025 Best Paper Award. 15,000+ citations.
Monica Lam
Stanford University
Kleiner Perkins, Mayfield, Sequoia Capital Professor at Stanford University. Faculty Director of the Open Virtual Assistant Laboratory. Creator of Genie open virtual assistant platform and STORM multi-agent research system. Co-author of the "Dragon Book" compiler textbook. Winner of Wikimedia Foundation Research Award 2024. Member of the National Academy of Engineering. ACM Fellow. 54,000+ citations.
Thang Luong
Google DeepMind
Principal Scientist and Director of Research at Google DeepMind, leading the Superhuman Reasoning team. Co-founder of Project Meena, which evolved into LaMDA and Bard. Principal Investigator on AlphaGeometry (Nature, 2024) and leader of the first AI to achieve gold-medal standard at the International Mathematical Olympiad (2025). Inventor of LuongAttention, key to upgrading Google Translate. ACL 2025 Test-of-Time Award winner. PhD from Stanford University. 52,000+ citations.
Michele Catasta
Replit
President and Head of AI at Replit, where he architected and launched Replit Agent. Previously Head of Applied Research at Google X and Google Labs, contributing to PaLM and PaLM 2 coding capabilities. Research Scientist and Instructor at Stanford University, pioneering Transformer architectures for source code. PhD in Computer Science from EPFL. Research positions at MIT Media Lab, Google, and Yahoo Labs.
Chris Potts
Stanford & Bigspin AI
Professor and Chair of Linguistics at Stanford University. Amazon Scholar. Senior researcher on DSPy and co-author of "The Shift from Models to Compound AI Systems." Creator of the Stanford Sentiment Treebank, winner of the ACL Test-of-Time Award. Faculty member of Stanford NLP Group, AI Lab, and HAI. Winner of ACL Best Paper Award 2024. 55,000+ citations.
Naveen Rao
Unconventional AI
CEO and Co-Founder of Unconventional AI. Previously VP of AI at Databricks, leading Mosaic AI compound systems infrastructure. Founded Nervana Systems (acquired by Intel, $408M) and MosaicML (acquired by Databricks, $1.3B). Co-author of "The Shift from Models to Compound AI Systems." PhD in Computational Neuroscience from Brown University. Scientific Advisory Board Member, Allen Institute.
Dawn Song
UC Berkeley
Professor of Computer Science at UC Berkeley and Co-Director of the Berkeley Center for Responsible Decentralized Intelligence. Leading researcher on AI safety and security for agentic systems. Creator of the LLM Agents MOOC (32,000+ learners) and organizer of the inaugural Agentic AI Summit. MacArthur Fellow, Guggenheim Fellow, and Schmidt Sciences AI2050 Senior Fellow. Most cited scholar in computer security (AMiner). ACM Fellow, IEEE Fellow, and member of the American Academy of Arts and Sciences. PhD from UC Berkeley.
Ion Stoica
UC Berkeley
Professor at UC Berkeley EECS and Director of SkyLab. Co-creator of Ray, the distributed computing framework powering compound AI infrastructure at OpenAI, Netflix, and Uber. Co-founder of Databricks ($62B) and Anyscale. Creator of Apache Spark and Apache Mesos. His lab produced vLLM (high-throughput LLM serving) and Chatbot Arena (crowdsourced LLM evaluation). Member of the National Academy of Engineering. ACM Fellow. Winner of the ACM SIGOPS Mark Weiser Award. PhD from Carnegie Mellon University.
Heather Miller
CMU & Two Sigma
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.
Organizing Committee
The Organizing Committee manages the day-to-day planning and execution of CAIS 2026, including program development, logistics, and community engagement.
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 AI
Founder and CEO of Mithril, building AI infrastructure for compound and agentic systems. Co-author of compound AI systems scaling laws and networks-of-networks theory. Jared conducted his PhD in Computer Science at Stanford University and was formerly a research scientist at DeepMind where he worked on mathematical and systems methods for scalable deep learning, including early work on linear attention, transformer scaling, and neural diffusion techniques.
Heather Miller
CMU & Two Sigma
General Co-Chair & Program 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.
Avi Sil
Oracle
Program Co-Chair
Senior Director of AI & Applied Science at Oracle. Former Principal Research Scientist and Manager at IBM Research, where he led foundational work in natural language processing, multilingual question answering, and enterprise AI systems. He currently leads Oracle's efforts on enterprise-grade AI agents and applied LLM research, bridging academic advances with real-world deployment at scale.
Omar Khattab
MIT EECS & CSAIL
Program Co-Chair
Assistant Professor at MIT EECS and CSAIL. Creator of DSPy, the leading framework for programming and optimizing compound AI systems, and ColBERT, which revolutionized neural information retrieval. PhD from Stanford advised by Matei Zaharia and Christopher Potts. Co-author of "The Shift from Models to Compound AI Systems." Apple Scholars in AI/ML Fellow. Winner of SIGIR 2025 Best Paper Award. 15,000+ citations.
Deepti Raghavan
Brown University
Workshop Co-Chair
Assistant Professor of CS at Brown University. Her research focuses on systems for ML, networking, and operating systems. She has received a Google ML and Systems Junior Faculty award, NSF Graduate Research Fellowship, and Distinguished Artifact Award at SOSP.
Bogdan Stoica
University of Illinois Urbana-Champaign
Artifact Evaluation Chair
Postdoctoral Research Associate at the University of Illinois Urbana-Champaign. His research lies at the intersection of systems, programming languages, and AI, with a focus on improving the reliability and efficiency of software systems. He is the recipient of an Eckhardt Scholarship and a Distinguished Artifact Evaluator Award (EuroSys '25).
Josh Quicksall
cmpnd
Sponsorship Chair
Brand Strategy and Communications Lead at cmpnd, supporting the DSPy ecosystem and compound AI community. Previously Communications Manager at Carnegie Mellon's Software and Societal Systems Department, where he led a departmental rebrand, grew social audiences over 500%, and advised faculty leadership on communications strategy spanning AI, privacy engineering, and HCI.
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.
Program Committee
The Program Committee reviewed paper and demo submissions for CAIS 2026.
Program Co-Chairs
Avi Sil
Oracle
Heather Miller
Carnegie Mellon University
Omar Khattab
Massachusetts Institute of Technology
Demo Co-Chairs
Bonan Min
Airbnb
Sri Harsha Yayi
Intuit
Yogarshi Vyas
Oracle
Area Chairs
Pradeep Dasigi
The Allen Institute for Artificial Intelligence
Yu Su
Ohio State University
Shuyan Zhou
Duke University
Alina Oprea
Northeastern University
Cristina Nita-Rotaru
Northeastern University
Niranjan Balasubramanian
Stony Brook University
Haoran Qiu
Microsoft Azure Research
Program Committee Members (207)
Anurag Acharya
Pacific Northwest National Laboratory
Emre Can Acikgoz
UIUC
Lakshya A Agrawal
UC Berkeley
Aditya Akella
The University of Texas at Austin
Kerem Akillioglu
University of Waterloo
Meysam Alizadeh
University of Zurich
Saad Alqithami
Albaha University
Anastasios Angelopoulos
LMArena
Negar Arabzadeh
UC Berkeley
Abhinav Arun
Domyn
Shubhi Asthana
IBM Research
Anish Athalye
Massachusetts Institute of Technology
Rajveer Bachkaniwala
Georgia Institute of Technology
Razan Baltaji
UIUC
Shraddha Barke
University of California at San Diego
Yogesh Barve
Vanderbilt University
Brad Behnke
Intuit
William Berrios
Contextual AI
Léo Boisvert
ServiceNow Research, Mila -Quebec AI institute, Polytechnique Montréal
Marisa Boston
Reins AI
Luca Buratti
IBM
Rui Cai
UC Davis
Yuchen Cai
The University of Texas as Dallas
Lei Cao
MIT CSAIL / U Arizona
Paul Castro
IBM Research
Z. Berkay Celik
Purdue University
Om Chabra
Massachusetts Institute of Technology
Madhurima Chakraborty
Axiarete.ai
Rong-Ching Chang
UC Davis
Muhammad Ahmed Chaudhry
Stanford University
Yimeng Chen
King Abdullah University of Science and Technology, KAUST
Zixiao Chen
Microsoft
Abhilash Chenreddy
Microsoft
Tejas Chopra
Netflix
Sai Sree Laya Chukkapalli
IBM Research
Hy Dang
University of Notre Dame
Debanshu Das
Xiang Deng
NeoCognition
Akshar Prabhu Desai
Sourabh Deshpande
Accenture
Soumik Dey
Amazon Inc.
Tejas Dharamsi
Abhishek Dharmaratnakar
Yuxiao Dong
Tsinghua University
Andrew Drozdov
Databricks
Gaoyuan Du
Amazon
Chenda Duan
UCLA
Oussama Elachqar
Oumi
Marquita Ellis
IBM Research
Murali Krishna Emani
Argonne National Lab
Anand Eswaran
IBM Research - India
Aideen Fay
Imperial College London
Benjamin Feuer
Stanford University
Alcides Fonseca
University of Lisbon
Carolina Fortuna
Jozef Stefan Institute
Jiayi Geng
Carnegie Mellon University
Ahmad Ghalayini
Microsoft
Tarun Gopinath
Amazon Rufus
Claire Le Goues
Carnegie Mellon University
Zhuohan Gu
MIT
Jiajing Guo
Bosch Research North America
Ishan Gupta
Netflix
Shrey Gupta
Boston College
Walid Hanafy
UMass
Shibo Hao
UCSD
Ahmed E. Hassan
Queen's University
Yifeng He
UC Davis
Smit Hinsu
YouTube / Google
Sameera Horawalavithana
Pacific Northwest National Laboratory
Amir Houmansadr
University of Massachusetts Amherst
Bodun Hu
University of Texas at Austin
Jingyuan Huang
Rutgers University
Ahmed Ibrahim
OpenAI
Michael Isaac
Carnegie Mellon University
Hamish Ivison
University of Washington
Reyhan Jabbarvand
University of Illinois at Urbana-Champaign
Rishabh Jain
eBay
Alexander Johansen
Stanford University
William Jurayj
Johns Hopkins University
Kostis Kaffes
Columbia University
Nik Kale
Cisco Systems
Keisuke Kamahori
University of Washington
Eunsuk Kang
Carnegie Mellon University
Amine El Khair
Nvidia
Khurram Khalil
U Missouri
Dmitrii Khizbullin
KAUST
Gyuwan Kim
University of California, Santa Barbara
Hoang-Bao Le
Dublin City University
Michael Le
IBM
Leon Leng
University of Washington
Hanchen Li
UC Berkeley
Tianyu Li
MIT / UW-Madison
Zixu Li
Sun Yat-sen University
Jiachen Liu
University of Michigan
Qin Liu
UC Davis
Shu Liu
UC Berkeley
Xiaoyi Lu
University of Florida
Xing Han Lu
McGill University
Muxi Lyu
UC Berkeley
Aman Madaan
xAI
Srirangan Madhavan
NVIDIA
Kevin Madura
AlixPartners
Michael Majurski
National Institute of Standards and Technology
Ziming Mao
UC Berkeley
Markos Markakis
MIT
Mark Marron
University of Kentucky
Shiva Mayahi
New Jersey Institute of Technology
Tasmiah Tahsin Mayeesha
U North Texas
Isaac Miller
cmpnd
Sewon Min
UC Berkeley
Muhammad Shujaat Mirza
Microsoft
Sasa Misailovic
UIUC
Ashirbad Mishra
eBay Inc.
Khalil Mrini
Oracle
Rohit Avinash Mujumdar
Target Corporation
Ajinkya Mulay
Meta
Mukund Narasimhan
Airbnb
Olaitan Olaleye
Oracle
Abanisenioluwa Orojo
Baylor University
Melissa Pan
UC Berkeley
Sourav Panda
Pennsylvania State University
Srikant Panda
Lam Research
Vivek Pandit
Turing
Ashwin Paranjape
Samaya AI
Akshay Paruchuri
Stanford
Hima Patel
IBM Research - India
Shishir Patil
UC Berkeley
Rhicheek Patra
Oracle
Luan Pham
RMIT University
George C. Polyzos
The Chinese University of Hong Kong, Shenzhen
Shreyas Rajesh
UCLA
Anand Rao
Carnegie Mellon University
Awais Rauf
Queen's University Belfast
Nikil Ravi
Vals AI
Revanth Gangi Reddy
Google DeepMind
Franziska Roesner
University of Washington
Evan Rose
Northeastern University
Alessio Sacco
Politecnico Di Torino
Atal Narayan Sahu
UCLA
Raghu Sangwan
Penn State
Giorgio Severi
Northeastern University
Karan Shah
Roblox / TU Dresden
Rana Shahout
Harvard University
Mahmood Sharif
Tel Aviv university
Aakash Sharma
Pennsylvania State University
Reshabh Kumar Sharma
University of Washington
Tuo Shi
Aalto University
Segev Shlomov
IBM Research
Matteo Silvestri
Sapienza
Videet Shailendra Singhai
Carnegie Mellon University (CMU)
Ranjan Sinha
IBM
Gagan Somashekar
Microsoft
Kevin Song
University of Toronto
Atin Sood
IBM Research
Adriana Meza Soria
IBM
Dilara Soylu
Stanford University
Julian James Stephen
IBM
Bogdan Alexandru Stoica
UIUC
Georgios Syros
Northeastern University
Cheng Tan
Northeastern University
Shangyin Tan
University of California, Berkeley
Carlos Toxtli
Clemson University
Asher Trockman
Valter Uotila
Aalto University & University of Helsinki
Karthik Valmeekam
Amazon AGI
Bhanu Prakash Vangala
University of Missouri, Columbia
Varun Vasudevan
Walmart Global Tech
Suguna Velury
Stanford
Thejas Venkatesh
Samaya AI
Tai Vu
OpenAI
Wenyi Wang
KAUST - King Abdullah University of Science and Technology
Yichuan Wang
UC Berkeley
Yuanli Wang
Boston University
Azmine Toushik Wasi
Computational Intelligence and Operations Laboratory
Ahmed Wez
Brownian Labs
Michal Wilinski
CMU
Adrian Wood
Dropbox
Bin Wu
UCL
Eugene Wu
Columbia University
Xiaoyuan Wu
CMU
Yunze Xiao
CMU LTI
Zedian Xiao
Amazon
Chenyu Xu
Iowa State University
Guowei Xu
Tsinghua/Harvard
Yuanda Xu
Aashish Yadavally
UCF
Jiacheng Yang
University of Toronto
Muhammet Anıl Yağız
Arizona State University and Kırıkkale University
Daniel Yellin
IBM/Reichman
Xunjian Yin
Duke University
Boxi Yu
LERO
Guangba Yu
The Chinese University of Hong Kong
Lingfan Yu
Amazon
Imam Nur Bani Yusuf
National University of Singapore
Zhonghao Zhan
Imperial College London
Kexun Zhang
CMU
Minjia Zhang
UIUC
Qizheng Zhang
Stanford University
Ziyu Zhang
MIT
Peter Zhong
Carnegie Mellon University
Zhiqing Zhong
The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
Zhengze Zhou
Cornell / LinkedIn
Shaowei Zhu
AWS Annapurna Labs
Zhanda Zhu
University of Toronto
Mingchen Zhuge
KAUST
Noah Ziems
University of Notre Dame
Benjamin Zorn
Microsoft Research
Artifact Evaluation Committee
The Artifact Evaluation Committee reviewed research artifacts for CAIS 2026 — software, datasets, and supporting materials submitted alongside accepted papers.