Stephanie Wang

Hello! I am an incoming assistant professor in computer science at the University of Washington, starting in fall 2024. If you are interested in distributed systems, systems for machine learning and data processing, programming languages, and/or how these topics fit together, please apply to the Allen School at UW and mention my name in your application.

My research is primarily in distributed systems. I'm especially interested in how we can build intermediate abstractions that make it easier to build high-performance, fault-tolerant, and domain-specific systems. Along those lines, I'm interested in domains where large-scale application development is still pretty hard, such as machine learning and data processing. I'm also interested in programming languages as the interface that can improve distributed systems.

Previously, I was a PhD student in the RISELab at UC Berkeley, where I was advised by Ion Stoica. I am also a co-creator and committer for the open-source project, Ray, which has been used to train ChatGPT, serve high-performance LLMs, and break the CloudSort 100TB record. At the moment, I'm continuing to develop the Ray ecosystem as a software engineer at Anyscale, working primarily on Ray Data, a system for distributed data preprocessing for ML, and some new things (ask me what!).

smwang@cs.washington.edu  /  CV  /  GitHub  /  Google Scholar  /  LinkedIn

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Publications

Logical Memory Pools: Flexible and Local Disaggregated Memory


Emmanuel Amaro, Stephanie Wang, Aurojit Panda, Marcos K. Aguilera.
HotNets 2023.
paper

Exoshuffle: An Extensible Shuffle Architecture


Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica.
SIGCOMM 2023.
paper

ExoFlow: A Universal Workflow System for Exactly-Once DAGs


Siyuan Zhuang, Stephanie Wang, Eric Liang, Yi Cheng, Ion Stoica.
OSDI 2023.
paper / talk / slides

ESCHER: Expressive Scheduling with Ephemeral Resources


Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica.
SoCC 2022.
paper

Rearchitecting in-memory object stores for low latency


Danyang Zhuo, Kaiyuan Zhuang, Zhuohan Li, Siyuan Zhuang, Stephanie Wang, Ang Chen, Ion Stoica.
VLDB 2022.
paper

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.
SIGCOMM 2021.
paper

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.