Stephanie Wang

I am a PhD student in the RISELab at UC Berkeley, where I am advised by Ion Stoica. My research is in distributed systems, and currently I am working on the problem of designing and building a general-purpose distributed system. I am also a committer for the open-source project, Ray, and a software engineer at Anyscale.

Previously, I received my M.Eng. in computer systems at MIT, working with Frans Kaashoek and Nickolai Zeldovich on FSCQ, a formally verified filesystem. Before that, I received my B.S. in computer science and math at MIT.

swang@cs.berkeley.edu  /  CV  /  GitHub  /  Google Scholar  /  LinkedIn

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Publications

Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems


Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica.
To appear at SIGCOMM, 2021.

In Reference to RPC: It's Time to Add Distributed Memory


Stephanie Wang, Benjamin Hindman, Ion Stoica.
HotOS, 2021.
paper / talk / slides

Ownership: A Distributed Futures System for Fine-Grained Tasks


Stephanie Wang, Eric Liang, Edward Oakes, Benjamin Hindman, Frank Sifei Luan, Audrey Cheng, Ion Stoica.
NSDI, 2021.
paper / talk / slides / artifact

Practical Volume-Based Attacks on Encrypted Databases


Rishabh Poddar*, Stephanie Wang*, Jianan Lu, Raluca Ada Popa.
EuroS&P, 2020.
paper

Lineage Stash: Fault Tolerance Off the Critical Path


Stephanie Wang, John Liagouris, Robert Nishihara, Philipp Moritz, Ujval Misra, Alexey Tumanov, Ion Stoica.
SOSP, 2019. Distinguished Artifact Award.
paper / talk / slides / artifact

Ray: A Distributed Framework For Emerging AI Applications


Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I Jordan, Ion Stoica.
OSDI, 2018.
paper

Verifying a High-Performance Crash-Safe File System Using a Tree Specification


Haogang Chen, Tej Chajed, Alex Konradi, Stephanie Wang, Atalay ─░leri, Adam Chlipala, M. Frans Kaashoek, Nickolai Zeldovich.
SOSP, 2017.
paper

Real-Time Machine Learning: The Missing Pieces


Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I Jordan, Ion Stoica.
HotOS, 2017.
paper




Forked from Leonid Keselman.