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I am a Postdoc in MIT’s Data Systems Group, working with Samuel Madden on agentic data systems. I completed my PhD in the same group, advised by Mike Stonebraker. My research focuses on building data systems for AI agents: long-running, stateful, and often speculative applications that interact with databases, file systems, vector stores, and external tools. More broadly, my work spans database systems, operating systems, and systems for AI, drawing on my PhD work on practical DB–OS co-design, kernel bypass, memory management, networking, and high-performance database engines. Email / Google Scholar / Twitter / Linkedin / Github |
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Recent News
- Our new paper introduces Chronos, enabling coding agents, RL rollouts, and scientific workflows to safely branch and merge state across databases, vector stores, and filesystems.
- Our recent work (accepted by SIGMOD 2027) introduces Calico for fast page translation that excel across OLTP, vector search, and analytics workloads.
- Cache closer to the index: our SIGMOD 2027 paper introduces Nemo for efficient caching in disaggregated OLTP databases.
- I started my postdoc at MIT DSG, building data systems for AI agents.
- I defended my PhD thesis : Practical DB-OS Co-Design for Modern, High-Performance Database Engines.
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- How should data-oriented workflows define correctness? Our paper at CIDR 2026 takes a closer look.
- Database networking without invasive rewrites—our paper at VLDB 2026 introduces Tux, a drop-in high-performance stack.
- Hot records deserve better placement—our paper in The VLDB Journal introduces tiered indexing for skewed workloads.
- Give databases safe, direct control over hardware—our paper at SIGMOD 2025 explores privileged kernel bypass.
- Communication is the new OLTP bottleneck, as our paper at CIDR 2025 shows.
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Xinjing Zhou, Jason Mohoney, Samuel Madden, Michael Stonebraker, Lei Cao arXiv:2609.14889, September 2026 code / PostgreSQL code |
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Xinjing Zhou, Jinming Hu, Andrew Pavlo, Michael Stonebraker To appear at SIGMOD 2027 preprint |
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Wenjie Hu, Xinjing Zhou, Zhihan Guo, Xiangpeng Hao, Xiangyao Yu To appear at SIGMOD 2027 |
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Xinjing Zhou, Viktor Leis, Xiangyao Yu, Michael Stonebraker Proceedings of the VLDB Endowment, 2026 code/ slides |
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Michael Stonebraker, Xinjing Zhou, Peter Kraft, Qian Li Proceedings of The Conference on Innovative Data Systems Research (CIDR), January 2026 code |
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Xinjing Zhou , Xiangpeng Hao, Xiangyao Yu, Michael Stonebraker The VLDB Journal 34, 45 (2025) code |
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Xinjing Zhou, Viktor Leis, Jinming Hu, Xiangyao Yu, Michael Stonebraker Proceedings of the ACM on Management of Data, 2025, Volume 3, Issue 1, Article 64 slides/ code |
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Xinjing Zhou, Viktor Leis, Xiangyao Yu, Michael Stonebraker Proceedings of The Conference on Innovative Data Systems Research (CIDR), January 2025 slides |
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Xiangpeng Hao, Xinjing Zhou, Xiangyao Yu, Michael Stonebraker Proceedings of the ACM on Management of Data, 2024, Volume 2, Issue 1, pp 1–26 |
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Peter Kraft, Qian Li, Xinjing Zhou, Peter Bailis, Michael Stonebraker, Matei Zaharia, Xiangyao Yu Proceedings of the VLDB Endowment, 2023, Volume 16, Issue 11, pp 2742–2754 |
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Xinjing Zhou, Xiangyao Yu, Goetz Graefe, Michael Stonebraker Proceedings of The Conference on Innovative Data Systems Research (CIDR), January 2023. video / code / slides |
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Xinjing Zhou, Xiangyao Yu, Goetz Graefe, Michael Stonebraker Proceedings of the VLDB Endowment, 2022 code/ slides |
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Xinjing Zhou, Joy Arulraj, Andy Pavlo, David Cohen Proceedings of the SIGMOD, 2021 video / code |
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Xinjing Zhou, Lidan Shou, Ke Chen, Wei Hu, Gang Chen Proceedings of the VLDB Endowment, 2020 video / code |
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Making Array-Based Translation Practical for Modern, High-Performance Buffer Management, Turbopuffer, May 2026 |
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Practical DB-OS Co-design with Privileged Kernel Bypass, Salesforce Database Reading Group, June 2025 |
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Practical DB-OS Co-design with Privileged Kernel Bypass, Columbia DB Seminar, March 2025 |
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OLTP Through the Looking Glass 16 Years Later, Microsoft Gray Systems Lab, March 2025 |
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