Dr. Zichen Zhu (朱子晨)
I am a Software Engineer at Google (Kirkland), having completed my PhD in Computer Science at Boston University in May 2025. During my time at BU, I was advised by Prof. Manos Athanassoulis in the MiDAS group.
My background includes an MPhil from The University of Hong Kong and a Bachelor's degree in Software Engineering from Tsinghua University. My expertise lies in data management and storage systems, specifically LSM-trees, Bloom filters, and benchmarking.
Recent News
- Jan, 2025 "Mnemosyne: Dynamic BF Tuning via Accurate Statistics in LSM Trees" accepted to SIGMOD 2025!
- Oct, 2024 "Benchmarking, Analyzing, and Optimizing WA of Partial Compaction in RocksDB" accepted to EDBT 2025!
- May, 2024 ACM SIGMOD 2024 Travel Award!
- Apr, 2024 Honored to receive the 2023/2024 BU CS Research Excellence Award!
- Apr, 2024 "KVBench: A Key-Value Benchmarking Suite" accepted to DBTest 2024!
- Jan, 2024 Lecturer for CS561 in Spring 2024!
- Aug, 2023 "NOCAP: Near-Optimal Correlation-Aware Partitioning Join" accepted to SIGMOD 2024!
- Jun, 2023 "SHaMBa: Reducing Bloom Filter Overhead in LSM Trees" accepted to VLDB PhD Workshop 2023!
- Mar, 2023 "Enabling Timely and Persistent Deletion in LSM-Engines" accepted to TODS.
- Mar, 2023 "Acheron: Persisting Tombstones in LSM Engines" accepted to SIGMOD 2023 Demo.
Internship & Volunteer
1. PC Member in CIKM2024, CIKM2025, SIGMOD2026
2. Software Engineer Intern at Google Core, 2024
3. Software Engineer Intern at Google Cloud, 2023
4. ACM SIGMOD Availability Committee 2021, 2022, 2023
5. PhD Internship at Meta, 2022
6. External reviewer: ICDE2024, CIKM2023, DASFAA2023, DASFAA2022, WISE2020
7. System Engineer Internship, Weibo Corporation, 2017
Lecturer
2024 - CS561: Data Systems Architectures, BU
Teaching Assistant
2022, 2023 - CS561: Data Systems Architectures, BU
2021, 2023 - CS660: Graduate Introduction to Databases, BU
2020 - CS237: Probability of Computing, BU
2018, 2019 - CCST9047: The Age of Big Data, HKU
Contact
Email: zczhu [at] bu.edu
Office: BU Faculty of Computing & Data Sciences