Hyo-jeong Lee. Seoul, Korea

I graduated from Seoul National University in Korea with a master’s degree in computer science and majored in scalable techniques on system. Currently, I am working for SK Telecom.

I am interested in followings:

  • Parallel Computing
  • Troubleshooting with multi-thread concurrency
  • Linux/Unix environment
  • System performance tuning
  • Automation in the development process
  • Computer Science Education

In detail,

  • Parallel Garbage Collection policy of Java Virtual Machine (JVM).
  • Memory management of Operating System (e.g., Linux Kernel).
  • GPU memory management on virtualized environment (e.g., Docker container).
  • Scalable logging technique on Database system.
  • Distributed File System (e.g., HDFS, Lustre) and data management middleware.

Contact Me

Education and Career

  • 2020.01 - : Platform Engineer at SK Telecom
  • 2018.03 - 20.02: M.S in Seoul National University, Computer Engineering, Distributed Computing System Lab.
  • 2017.03 - 18.02: Undergraduate intern at Sookmyung Women’s University, Distributed System Lab.
  • 2014.03 - 18.02: B.S in Sookmyung Women’s University, Computer Science.

Teaching & Advising Experiences

  • 2019.09 - 19.12: TA for Operating System (Regular class), Seoul National University.
  • 2017.09: TA for Machine Learning basic with MNIST (Special lecture), Seoil University.
  • 2017.03 - 17.06: TA for Understanding Software (Regular class), Sookmyung Women’s University.
  • 2017.04 - 17.06: TA for Python basic (Special lecture), Sookmyung Women’s University.
  • 2017.02: TA for Arduino basic (Special lecture), Sookmyung Women’s University.
  • 2016.10 - 16.12: Arduino basic education, Coding Club.
  • 2016.07: Global ICT/Culture educational volunteer, NIA 한국정보화진흥원
  • 2015.01 - 16.06: English Mentor at Song-cheon elementary school, TeachMentorChange




  • Q.Chen, H.Lee, H.Y.Yeom, and Y.Son, “FlexGPU: A Flexible and Efficient Scheduler for GPU Sharing Systems”. 20th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCgrid’20), 2020.
  • H.Lee, Q.Chen, H.Y.Yeom, and Y.Son, “An Efficient Garbage Collection in Java Virtual Machine via Swap I/O Optimization”. The 35th ACM/SIGAPP Symposium On Applied Computing (SAC’20), Mar 2020.
  • Q.Chen, H.Lee, Y.Kim, H.Yeom, and Y.Son, “Design and implementation of skiplist-based key-value store on non-volatile memory”. Cluster Computing, Mar 2019.