Geon-Woo Kim


I’m an undergraduate student at Seoul National University working with Prof. Byung-Gon Chun as a research intern. I am currently applying for doctoral programs pursuing an ML systems researcher. My research goal is to build software that optimizes and orchestrates the execution of ML applications. To this end, I have participated in several research projects presented at top CS conferences.

Before returning to the school, I also worked as a software platform engineer for nearly five years at Viva Republica Inc., a leading fin-tech startup in South Korea valued at over $7.4B with over 20 million users. As an early member of the startup, I implemented over 20 financial services, built a fully equipped mobile marketing platform, and operated the infrastructure for machine learning and big data analysis.

Email: gwsshs22 [at] snu [dot] ac [dot] kr


  • B.S. in Computer Science & Engineering
  • B.S. in Mathematical Sciences (Double Major)
  • GPA: 4.06/4.30 (Overall), 4.23/4.30 (Major), 4.28/4.30 (Upper)



  1. Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
    Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeongin Yu, and Byung-Gon Chun
    In Advances in Neural Information Processing Systems (NeurIPS) 2021


  1. Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies
    Youngseok Yang, Jeongyoon Eo, Geon-Woo Kim, Joo Yeon Kim, Sanha Lee, Jangho Seo, Won Wook Song, and Byung-Gon Chun
    In 2019 USENIX Annual Technical Conference (USENIX ATC 19) Jul 2019


  1. Pado: A Data Processing Engine for Harnessing Transient Resources in Datacenters
    Youngseok Yang, Geon-Woo Kim, Won Wook Song, Yunseong Lee, Andrew Chung, Zhengping Qian, Brian Cho, and Byung-Gon Chun
    In Proceedings of the Twelfth European Conference on Computer Systems, EuroSys 2017, Belgrade, Serbia, April 23-26 2017