Gabriele Oliaro

Gabriele Oliaro

CS PhD Student

Carnegie Mellon University


I’m a CS PhD Student at Carnegie Mellon University, where I’m advised by Zhihao Jia and I am part of the Catalyst Lab and Parallel Data Lab. My research focuses on large-scale computer systems for data-intensive applications such as scientific computing or machine learning.

Previously, I worked as a Software Engineer at Whist in NYC, and I graduated with a MS in Computer Science from Tsinghua University, where I worked with Jidong Zhai in the Pacman Group, and with a BS in Electrical Engineering from Harvard University.

As an undergraduate, I worked on serverless computing with Eddie Kohler, computer networking (DTA project) with Minlan Yu and distributed systems (Ray project) with Ion Stoica.

  • Distributed Systems
  • Parallel Computing
  • Machine Learning
  • Networking
  • PhD in Computer Science, 2028

    Carnegie Mellon University

  • MS in Computer Science, 2023

    Tsinghua University

  • BS in Electrical Engineering, 2021

    Harvard University

Industry Experience

Open Source Project Contributor
Sep 2022 – Present Pittsburgh, PA
Work on various improvements and commit to the GitHub repository GitHub stars
Whist Technologies
Software Engineer
Sep 2021 – Aug 2022 New York
Worked in the Systems Engineering Team
Open Source Project Contributor
Jun 2020 – Jun 2021 California
Worked on Ray Core and committed to the GitHub repository GitHub stars

Recent Publications

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(2023). Direct Telemetry Access. In SIGCOMM ‘23.

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(2023). SpecInfer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification. In ArXiv.

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(2021). Zero-CPU Collection with Direct Telemetry Access. In HotNets ‘21.



  • Computer Science Department, Carnegie Mellon University, Pittsburgh, PA 15213