Gina Yuan

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I'm currently a Computer Science PhD student at Stanford, advised by David Mazieres and Matei Zaharia. I previously studied Computer Science at MIT (B.S.'19, M.Eng.'19) with a concentration in systems, supervised by Robert Morris.

Publications

• Sidecar: In-Network Performance Enhancements in the Age of Paranoid Transport Protocols [paper]
  Gina Yuan, David K. Zhang, Matthew Sotoudeh, Michael Welzl, Keith Winstein. HotNets 2022.

• Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads [paper] [source]
  Gina Yuan, Shoumik Palkar, Deepak Narayanan, Matei Zaharia. USENIX ATC 2020.

• Aurum: A Data Discovery System [paper] [source]
  Raul Castro Fernandez, Ziawasch Abedjan, Famien Koko, Gina Yuan, Samuel Madden, Michael Stonebraker. ICDE 2018.

Other

• Extricating IoT Devices from Vendor Infrastructure with Karl [paper]
  Gina Yuan, David Mazières, Matei Zaharia. arXiv 2022.

• Scalable Fault Tolerance for High-Performance Streaming Dataflow [abstract]
  Gina Yuan. ACM Student Research Competition at SOSP 2019.

• Scalable Fault Tolerance for High-Performance Streaming Dataflow [thesis]
  Gina Yuan. M.Eng. Thesis, Massachusetts Institute of Technology, September 2019.

Personal

• I ran Battlecode in 2018 and 2017. It was featured in Hacker News, Vice, and The Tech. We also hosted an IAmA that reached the front page of Reddit.
• I competed with MIT Sport Taekwondo in my undergrad.
• I like to run and bike and generally do active things.