Andy Huynh

Boston University. MiDAS Group and DiSC Lab.

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Email: [email protected]

Office: CCDS 925

I am a PhD candidate working with Manos Athanassoulis, and an IBM PhD Fellowship Awardee. My research interests are in performance tuning for data systems, machine learning for systems, and systems for machine learning. I have been primarily focusing on exploring methods to incorporate input/workload variability to the classic database tuning problem.

Prior to Boston University, I grew up in the frozen tundra Minnesota where I attended the University of Minnesota and graduated Magna Cum Laude. During my time there I focused on machine learning and neuroscience with Vladimir Cherkassky and Bin He.

News

Mar 10, 2023 I will be talking about ENDURE at NEDB 2023
Feb 8, 2023 I will be talking about ENDURE at Red Hat Research Days.
Sep 5, 2022 Find me at VLDB 2022 in Australia
Sep 1, 2022 I will be extending my internship with Meta into the Fall.
May 18, 2022 I will be talking about ENDURE at a PingCap community meetup.
May 10, 2022 I will be interning with the consistency team at Meta!
Mar 21, 2022 Our work “ENDURE: A Robust Tuning Paradigm for LSM Trees” will appear at VLDB 2022!
May 18, 2020 I will be a research intern at NetApp!
Apr 8, 2020 Awarded the IBM PhD Fellowship
Jan 27, 2020 Poster at NEDB2020 on Robust Data Systems!

Publications

  1. VLDB-J
    Towards Flexibility and Robustness of LSM Trees
    Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi, and Manos Athanassoulis
    The VLDB Journal, 2023
  2. VLDB
    Endure: A Robust Tuning Paradigm for LSM Trees under Workload Uncertainty
    Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi, and Manos Athanassoulis
    Proc. VLDB Endow., Jun 2022