Curriculum Vitae

[Download CV]

Research interest

• Computer Systems
  • Areas: Storage/Memory systems, Distributed systems, Operating systems, Database systems
  • Focus: Next‑generation systems for emerging memory/storage and disaggregation (RDMA, CXL) technologies
    • Indexing, Caching, Concurrency, Crash consistency, Fault tolerance

Education

• Ph.D. in Computer Science, The University of Texas at Austin, 2023
  • Advisor: Vijay Chidambaram
  • Dissertation: Designing Key-Value Stores for Emerging Memory and Disaggregation Technologies
• M.S. in Computer Science Engineering, UNIST (Ulsan National Institute of Science & Technology), 2018
  • Advisor: Sam H. Noh
  • Thesis: Write-Optimal Radix Tree: A Deterministic Indexing Structure for Persistent Memory Storage Systems
• B.S. in Computer Engineering, Hongik University, 2015

Work experience

• Research Engineer, 01.2024~Present
  • HPE Labs, Austin, TX, US
• Research Intern, 05.2021~08.2021
  • Microsoft Research, Redmond, WA, US
  • Duties included: Scaling out AMBROSIA, a general framework to build resilient distributed systems
  • Mentor: Jonathan Goldstein
• Research Associate Intern, 06.2019~08.2019
  • Hewlett Packard Labs, Palo Alto, CA, US
  • Duties included: Designing far-memory data structures optimized for one-sided operation
  • Mentors: Kimberly Keeton and Sharad Singhal
• Researcher, 03.2018~07.2018
  • UNIST (Ulsan National Institute of Science & Technology), Ulsan, South Korea
  • Duties included: Providing the compiler-directed crash consistency for PM-based systems
  • Supervisor: Sam H. Noh
• Research Associate Intern, 06.2017~09.2017
  • Hewlett Packard Labs, Palo Alto, CA, US
  • Duties included: Designing DRAM cache for key-value stores working on Fabric-attached memory
  • Mentors: Kimberly Keeton, Haris Volos, and Yupu Zhang
• Researcher, 10.2015~02.2016
  • UNIST (Ulsan National Institute of Science & Technology), Ulsan, South Korea
  • Duties included: Analyzing performance implications of index structures in PM‑based file systems
  • Supervisor: Sam H. Noh
• Signaller, 08.2010~05.2012
  • ROK DCC, Republic of Korea Armed Forces

Honors & Awards

• UT Austin Dean’s Prestigious Fellowship Supplement, 2022
• UT Austin Dean’s Prestigious Fellowship Supplement, 2021
• 2021 Microsoft Research PhD Fellowship, 2021~2023

Publications

A Query Engine for Scientific Data Exploration Using Theory, Simulation, and Artificial Intelligence Models

Abhishek Dwaraki, Sreenivas R. Sukumar, Christopher D. Rickett, Clarete Riana Crasta, Harumi Kuno, Michael Neal, Pankaj Pandey, Ryan Yates, Karlon West, Amar Gopal Chittiboyina, Ikhlas A. Khan, John Byrne, Sekwon Lee, and David Emberson, A Query Engine for Scientific Data Exploration Using Theory, Simulation, and Artificial Intelligence Models, Proceedings of the Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC Workshops 2025, AI4S).

Global Distributed Client-side Cache for DAOS

Clarete Riana Crasta, John L Byrne, Abhishek Dwaraki, David Emberson, Harumi Anne Kuno, Sekwon Lee, Ramya Ahobala Rao, Shreyas Vinayaka Basri K S, Amitha Chandrachari, Chinmay Ghosh, Rishi Kesh K Rajak, Sriram Ravishankar, Porno Shome, and Lance Evans, Global Distributed Client-side Cache for DAOS, Proceedings of the 2025 Cray User Group (CUG 2025).

A Global In-Memory Cache and Computation Tier for DAOS

John Byrne, Clarete Crasta, Abhishek Dwaraki, David Emberson, Harumi Kuno, Sekwon Lee, Sharad Singhal, Ramya Ahobala Rao, Shreyas Vinayaka Basri K S, Amitha C, Chinmay Ghosh, Rishi Kesh Rajak, Sriram Ravishankar, Porno Shome, Lance Evans, Sherin George, Kevan Rehm, Myungjun (MJ) Son, Taeklim Kim, Shiyue (Jason) Hou, A Global In-Memory Cache and Computation Tier for DAOS, The 9th International Parallel Data Systems Workshop (PDSW 2024, Work In Progress paper).

Improving GPU Utilization with a Zero‑Copy Object Store for ML Applications

Taeklim Kim, Sekwon Lee, Sergey Serebryakov, Harumi Kuno, Sharad Singhal, and Christopher J. Rossbach, Improving GPU Utilization with a Zero‑Copy Object Store for ML Applications, Poster at the 30th ACM Symposium on Operating Systems Principles (SOSP 2024).

DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory

Sekwon Lee, Soujanya Ponnapalli, Sharad Singhal, Marcos K. Aguilera, Kimberly Keeton, and Vijay Chidambaram, DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory, The 3rd Workshop On Resource Disaggregation and Serverless Computing (WORDS 2022, Extended abstract of VLDB 2023 paper).

DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory

Sekwon Lee, Soujanya Ponnapalli, Sharad Singhal, Marcos K. Aguilera, Kimberly Keeton, and Vijay Chidambaram, DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for Disaggregated Persistent Memory, Proceedings of the VLDB Endowment, Volume 15, Issue 13 (VLDB 2023).

SplitFS: Reducing Software Overhead in File Systems for Persistent Memory

Rohan Kadekodi, Se Kwon Lee, Sanidhya Kashyap, Taesoo Kim, Aasheesh Kolli, and Vijay Chidambaram, SplitFS: Reducing Software Overhead in File Systems for Persistent Memory, The 11th Annual Non-Volatile Memories Workshop (NVMW 2020, Extended abstract of SOSP 2019 paper).

RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes

Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, and Vijay Chidambaram, RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes, The 11th Annual Non-Volatile Memories Workshop (NVMW 2020, Extended abstract of SOSP 2019 paper).

SplitFS: Reducing Software Overhead in File Systems for Persistent Memory

Rohan Kadekodi, Se Kwon Lee, Sanidhya Kashyap, Taesoo Kim, Aasheesh Kolli and Vijay Chidambaram, SplitFS: Reducing Software Overhead in File Systems for Persistent Memory, Proceedings of the 27th ACM Symposium on Operating Systems Principles (SOSP 2019).

RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes

Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, and Vijay Chidambaram, RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes, Proceedings of the 27th ACM Symposium on Operating Systems Principles (SOSP 2019).

iDO: Compiler-Directed Failure Atomicity for Nonvolatile Memory

Qingrui Liu, Joseph Izraelevitz, Se Kwon Lee, Michael L. Scott, Sam H. Noh, and Changhee Jung, iDO: Compiler-Directed Failure Atomicity for Nonvolatile Memory, The 10th Annual Non-Volatile Memories Workshop (NVMW 2019, Extended abstract of MICRO 2018 paper).

iDO: Compiler-Directed Failure Atomicity for Nonvolatile Memory

Qingrui Liu, Joseph Izraelevitz, Se Kwon Lee, Michael L. Scott, Sam H. Noh, and Changhee Jung, iDO: Compiler-Directed Failure Atomicity for Nonvolatile Memory, Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2018).

Memory-Oriented Distributed Computing at Rack Scale

Haris Volos, Kimberly Keeton, Yupu Zhang, Milind Chabbi, Se Kwon Lee, Mark Lillibridge, Yuvraj Patel, and Wei Zhang, Memory-Oriented Distributed Computing at Rack Scale, Poster at the 9th ACM Symposium on Cloud Computing (SOCC 2018).

Software challenges for persistent fabric-attached memory

Haris Volos, Kimberly Keeton, Yupu Zhang, Milind Chabbi, Se Kwon Lee, Mark Lillibridge, Yuvraj Patel, and Wei Zhang, Software challenges for persistent fabric-attached memory, Poster at the 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018).

Ledger: Increasing Performance of POSIX Applications on Persistent Memory

Rohan Kadekodi, Se Kwon Lee, Aasheesh Kolli, and Vijay Chidambaram, Ledger: Increasing Performance of POSIX Applications on Persistent Memory, Poster at the 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018).

PMAL: Enabling Lightweight Adaptation of Legacy File Systems on Persistent Memory Systems

Hyunsub Song, Young Je Moon, Se Kwon Lee, and Sam H. Noh, PMAL: Enabling Lightweight Adaptation of Legacy File Systems on Persistent Memory Systems, Proceedings of the 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2017).

WORT: Write Optimal Radix Tree for Persistent Memory Storage Systems

Se Kwon Lee, K. Hyun Lim, Hyunsub Song, Beomseok Nam, and Sam H. Noh, WORT: Write Optimal Radix Tree for Persistent Memory Storage Systems, The 8th Annual Non-Volatile Memories Workshop (NVMW 2017, Extended abstract of FAST 2017 paper).

Transforming Legacy File Systems into Persistent Memory Exploiting File Systems with MeLo@V

Hyunsub Song, Young Je Moon, Se Kwon Lee, and Sam H. Noh, Transforming Legacy File Systems into Persistent Memory Exploiting File Systems with MeLo@V, The 8th Annual Non-Volatile Memories Workshop (NVMW 2017).

WORT: Write Optimal Radix Tree for Persistent Memory Storage Systems

Se Kwon Lee, K. Hyun Lim, Hyunsub Song, Beomseok Nam, and Sam H. Noh, WORT: Write Optimal Radix Tree for Persistent Memory Storage Systems, Proceedings of the 15th USENIX Conference on File and Storage Technology (FAST 2017).

Adapting Legacy File Systems to Work Efficiently for Persistent Memory based Storage

Hyunsub Song, Young Je Moon, Se Kwon Lee, and Sam H. Noh, Adapting Legacy File Systems to Work Efficiently for Persistent Memory based Storage, Poster at the 14th USENIX Conference on File and Storage Technology (FAST 2016).

Lightweight Adaptation of Legacy File Systems for Persistent Memory based Storage

Hyunsub Song, Young Je Moon, Se Kwon Lee, and Sam H. Noh, Lightweight Adaptation of Legacy File Systems for Persistent Memory based Storage, Proceedings of the 2016 Korea Computer Congress (KCC 2016, Best Paper Award).

Experimental Evaluation of File System Data Structures for New Memory based Storage

Se Kwon Lee, Hyunsub Song, Young Je Moon, and Sam H. Noh, Experimental Evaluation of File System Data Structures for New Memory based Storage, Proceedings of the 2016 Korea Computer Congress (KCC 2016, Best Paper Award).

Skills

• Languages
  • C, C++, C#, Python
• System programming
  • Linux kernel, Memcached, Tizen
• Tools and libraries
  • Perf, Kubernetes, Docker, ZeroMQ, protobuf, YCSB benchmarks

Teaching

Fall 2023 TA for Distributed Systems (CS 380D)

Spring 2020 TA for Distributed Systems (CS 380D)

Fall 2018 TA for Elements of Software Design (CS 313E)

Spring 2016 TA for Objec-Oriented Programming

Spring 2015 TA for System Programming

Professional Activities

• PC Member for ACM SoCC (2024, 2025), IEEE CLOUD (2025), ACM SYSTOR (2025)
• Reviewer for IEEE Transactions on Cloud Computing (2025)
• Reviewer for IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Architecture and Code Optimization, ACM Transactions on Storage (2024)
• Reviewer for IEEE Transactions on Computers (2023)
• Invited talk at IBM Research (May. 2023). Data‑Intensive Systems for Emerging Memory and Disaggregation Technologies
• Volunteered as Slack Co‑Chair for SOSP 2021
• Invited talk at Intel Labs (Oct. 2020). RECIPE : Converting Concurrent DRAM Indexes to Persistent‑Memory Indexes