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min-guk/README.md

Hello, I'm Minguk Choi! 🖐

I will begin my Ph.D. in Computer Sciences at the University of Wisconsin–Madison in Fall 2025.

Currently, I am conducting research under the supervision of Prof. Matthias Boehm at TU Berlin, while also collaborating with Dr. Kyoungmin Kim at EPFL.

Previously, I earned my Master's degree in August 2024 from Dankook University in Korea, where I had the privilege of being advised by Professors Seehwan Yoo and Jongmoo Choi in the System Software Laboratory.

My research focuses on scalable and efficient systems for ML training, retrieval, and serving.

On-going projects:

  • Federated Learning Plan under Privacy Constraints: Optimized federated execution plans for end-to-end ML pipelines in Apache SystemDS under privacy constraints, using a dynamic programming-based cost model.

  • Hybrid Vector-Relational Search: An algorithm to optimize multi-vector top-k queries combined with complex relational filters in vector-relational hybrid databases.

Last updated: April 6, 2025

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  1. apache/systemds apache/systemds Public

    An open source ML system for the end-to-end data science lifecycle

    Java 1k 497

  2. DKU-StarLab/BASIL DKU-StarLab/BASIL Public

    Benchmark for Sampling Applied Learned Indexes (SIGMOD '24)

    C++ 15 9

  3. ls4154/YCSB-cpp ls4154/YCSB-cpp Public

    YCSB written in C++ for embedded databases. (supporting LevelDB, RocksDB, LMDB, WiredTiger, and SQLite)

    C++ 111 71

  4. DKU-StarLab/leveldb-study DKU-StarLab/leveldb-study Public

    LevelDB Analysis, Backgrounds, Practice and Tuning

    Shell 36 16

  5. uftrace-tutorial-for-LSM-tree uftrace-tutorial-for-LSM-tree Public

    How to trace and analyze leveldb/rocksdb with uftrace