Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology
32 Vassar Street
Cambridge, MA 02139
Email: [My Last Name] (at) mit.edu

MIT Data Systems Group MIT Everest Project

Publications

I am currently looking for an industry position starting June 2026. You can find my CV here.

12. KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Sivaprasad Sudhir, Om Chabra, Anna Zeng, Anton A. Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J. Cafarella, Lei Cao, Samuel Madden, and Tim Kraska
arXiv Preprint, Under Review for ICLR 2026
11. Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries
Ziniu Wu, Markos Markakis, Chunwei Liu, Peter Baile Chen, Balakrishnan (Murali) Narayanaswamy, Tim Kraska, and Samuel Madden
Proceedings of the VLDB Endowment 18 (11), 4185 - 4198 (VLDB 2025)
10. Causal DAG Summarization
Anna Zeng, Michael Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, and Babak Salimi
Proceedings of the VLDB Endowment 18 (6), 1933 - 1947 (VLDB 2025)
9. From Logs to Causal Inference: Diagnosing Large Systems
Markos Markakis, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, and Michael Cafarella
Proceedings of the VLDB Endowment 18 (2), 158 - 172 (VLDB 2025)
8. Virtualizing Cloud Data Infrastructures with BRAD [Demo]
Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Sophie Zhang, Samuel Madden, and Tim Kraska
2025 International Conference on Management of Data (SIGMOD 2025)
7. CausaLens: A System for Summarizing Causal DAGs [Demo]
Noam Chen, Anna Zeng, Michael Cafarella, Batya Kenig, Markos Markakis, Oren Mishali, Brit Youngmann, and Babak Salimi
2025 International Conference on Management of Data (SIGMOD 2025)
6. Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD
Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Samuel Madden, and Tim Kraska
Proceedings of the VLDB Endowment 17 (11), 3629 - 3643 (VLDB 2024)

🎉 Best Paper
5. Press ECCS to Doubt (Your Causal Graph)
Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, and Michael Cafarella
2024 Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI 2024)

4. Sawmill: From Logs to Causal Diagnosis of Large Systems [Demo]
Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, and Michael Cafarella
2024 International Conference on Management of Data (SIGMOD 2024)

3. Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes [Vision]
Tim Kraska*, Tianyu Li*, Samuel Madden*, Markos Markakis*, Amadou Ngom*, Ziniu Wu*, and Geoffrey X. Yu*
Proceedings of the VLDB Endowment 16 (11), 3293-3301 (VLDB 2023)
2. TreeLine: An Update-In-Place Key-Value Store for Modern Storage
Geoffrey X. Yu*, Markos Markakis*, Andreas Kipf*, Per-Ake Larson, Umar Farooq Minhas, and Tim Kraska
Proceedings of the VLDB Endowment 16 (1), 99-112 (VLDB 2023)
1. PerpLE: Improving the Speed and Effectiveness of Memory Consistency Testing
Themis Melissaris, Markos Markakis, Kelly Shaw, and Margaret Martonosi
53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2020)
0. The use of Indocyanine green in endocrine surgery of the neck: A systematic review
Nina Maria Fanaropoulou, Angeliki Chorti, Markos Markakis, Maria Papaioannou, Antonios Michalopoulos, and Theodosios Papavramidis
Medicine 98 (10) (Medicine 2019)