Welcome!
I am Jennifer Lam, a fourth-year Ph.D. Candidate in the department of Computer Science
at Princeton University advised by Professors Wyatt Lloyd and Haonan Lu.
I am interested in improving the performance and hardening the correctness of distributed systems.
In a past life, I worked as a Software Engineer at Bloomberg L.P. Before that, I earned my B.Sc. in Computer Science from Columbia University.
Publications
-
Accelerating Skewed Workloads With Performance Multipliers in the TurboDB Distributed Database
Jennifer Lam , Jeffrey Helt, Wyatt Lloyd, Haonan Lu
NSDI 2024: 21st USENIX Symposium on Networked Systems Design and Implementation
[abstract] -
[Poster] Targeting Skewed Workloads with the Smelter Distributed Database
Jennifer Lam , Jeffrey Helt, Haonan Lu, Wyatt Lloyd
OSDI 2023: 17th USENIX Symposium on Operating Systems Design and Implementation
[abstract] [pdf]
Talks
Accelerating Skewed Workloads With Performance Multipliers in the TurboDB Distributed Database- USENIX NSDI, Santa Clara, CA, April 2024
- University at Buffalo Systems Lunch (virtual), March 2024
- Princeton Systems Lunch, Princeton, NJ, March 2024
- [Poster] USENIX OSDI, Boston, MA, June 2023
Awards
- Princeton University SEAS Travel Grant 2024
- NSDI 2024 Student Grant
- OSDI 2023 Student Grant
Academic Service
- ATC 2024 External Review Committee (ERC)
- OSDI 2024 External Reviewer
- EuroSys 2024 Shadow Program Committee
- OSDI 2023 External Reviewer
- OSDI 2021 External Reviewer
- Princeton Systems Group Lunch Seminar Coordinator (Fall 2021)
Teaching
Service
Princeton University McGraw Teaching Fellow, 2020-present
Courses
- Distributed Systems (COS 418) Fall 2022, Fall 2019
- Data Structures (COS 226) Spring 2023
- Introductory Computer Science (COS 126) Spring 2020, Spring 2019, Fall 2018
- Columbia University Advanced Programming in C/C++ (COMS W3157) Fall 2014