I am a fourth-year Ph.D. student in Computer Science at the
Georgia Institute of Technology, advised by
Prof. Ada Gavrilovska.
I work on memory disaggregation, vector databases, and systems for AI and
emerging hardware. My current work explores memory disaggregation and
near-data processing for datacenter workloads.
News
Started as an AI/HPC Systems Research Intern at SoLab, SK Hynix America.
Sep. 2026
Passed the systems qualifier exam at GaTech!
Aug. 2025
Presented Grudon at the SAL Tech Talk Series at Hewlett Packard Labs.
Jul. 2025
Joined the Systems Architecture Lab at HPE Labs as a Research Associate Intern.
May 2025
Grudon is accepted to HPDC 2025!
Apr. 2025
Our work on Graph Analytics on disaggregated NDP platforms is accepted to the RESDIS Workshop at Supercomputing '24!
Sep. 2024
Publications
HPDC 2025
Grudon: A System for Deploying Graph Workloads on Disaggregated Architectures with Near-Data Processing
RESDIS 2024
Towards Disaggregated NDP Architectures for Large-scale Graph Analytics
*equal contribution
JSSPP 2021
Scheduling microservice containers on large core machines through placement and coalescing
Awards
Service
- Artifact Evaluation Committees: SOSP'25, OSDI'25, ATC'25, OSDI'24, ATC'24
- Shadow Program Committees: EuroSys'26
- Student Volunteer: OSDI'24
- GT SCS Graduate Student Association: President (2024 – 2025)
Teaching
- Teaching Assistant, CS 7210: Distributed Computing Fall 2025, Fall 2022, Spring 2022
- Teaching Assistant, CS 352: Cloud Computing Spring 2020
Talks
- Towards Disaggregated NDP Architectures for Large-scale Graph Analytics SAL Tech Talk Series, HPE Labs July 2025 SRC PRISM Liaison Talk May 2025