Bio. Aditya Parameswaran is an Associate Professor in Computer Science at UC Berkeley, and a co-director of the EPIC Data Lab. Aditya leverages techniques from artificial intelligence, databases, and human-computer interaction to solve hard data challenges. Multiple open-source tools developed in his group have received thousands of GitHub stars (including Modin, Lux, IPyFlow, DocETL)—and have been downloaded tens of millions of times overall across a spectrum of industries. His research was commercialized as a startup, Ponder, in 2021, where he served as Co-founder and President, before its acquisition by Snowflake. Aditya has received the Alfred P. Sloan Research Fellowship, VLDB Early Career Award, the NSF CAREER Award, the TCDE Rising Star Award, along with other recognitions.

Bio. Dr. Bolin Ding is a Researcher & Senior Director, andlead the area of Intelligent System in Tongyi Lab at Alibaba Group. His research interests are generally about making systems intelligent and efficient with machine learning and optimization techniques, with recent focuses on programming frameworks for building LLM agents, systems and algorithms for tuning agent models, efficient data pipelines for training LLMs and agent models, andbuilding novel agent applications (e.g., for data analytics and social science). His research has been extensively integrated into industrial products and solutions. Previously, he also worked on query optimization, data privacy, and federated learning. He publishes in top conferences and journals in related areas, including SIGMOD, VLDB, ICDE, KDD, ICML, NeurIPS, ICLR, and SODA.

Bio. Dr. Essam Mansour is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal, and head of the Concordia Data Systems lab (CoDS). His main research interests lie in AI + Data, knowledge graphs, and agentic AI systems. He currently works on Agentic Enterprise AI for automating data-intensive tasks, with grounded enterprise metadata and governed memory for LLM-based agents over federated and heterogeneous data infrastructure. He has secured over $1.1M in federal and industry funding, with strategic research projects involving Google, IBM, RBC, and National Bank of Canada. His research has resulted in over 50 publications in top-tier venues, including SIGMOD, PVLDB, ICDE, EMNLP, and CCS. He is a regular reviewer for ACM TODS, VLDB Journal, and IEEE TKDE, and serves on the program committees of SIGMOD, PVLDB, and ICDE. Dr. Mansour is General Chair of IEEE ICDE 2026 in Montreal and received Distinguished Reviewer Awards at SIGMOD 2025 and VLDB 2018.

Bio. Dr. Wenjie Zhang is a Professor in the School of Computer Science and Engineering at the University of New South Wales, Sydney. Her main research interests lie in large-scale data management and the applications. She serves as an Associate Editor for IEEE TKDE, VLDB Journals and ACM TKDD, and program or organization committee member for international conferences, including PC co-chair of ICDE 2025, DASFAA 2027, APWeb-WAIM 2024 and WISE 2021, tutorial chair for VLDB and ICDE, as well as Area Chair for VLDB and ICDE. Currently, she is a Chair of the Steering Committee for the Australasian Database Conference. Her research has been recognized with the ACM SIGMOD Research Highlight Award, CORE Chris Wallace Research Award, and 19 Best Paper Awards or nominations from conferences including SIGMOD and ICDE. She is an elected Member of the CORE Academy and a Fellow of the Australian Computer Society and the Royal Society of NSW Australia.