News

TurboDB was accepted to NSDI 2024!

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. My research interests are distributed systems and databases, and consistency models.

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.

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Publications

  • TurboDB: Conquering Skewed Workloads by Integrating a Single-Machine Database Into a Distributed Database
    Jennifer Lam , Jeffrey Helt, Haonan Lu, Wyatt Lloyd
    NSDI 2024: 21st USENIX Symposium on Networked Systems Design and Implementation

  • [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]

Academic Service

  • 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

Contact

Email: jl87 at princeton dot edu