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!).  /  CV  /  GitHub  /  Google Scholar  /  LinkedIn

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Logical Memory Pools: Flexible and Local Disaggregated Memory

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

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.

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.

Rearchitecting in-memory object stores for low latency

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

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.

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.

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.

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.

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.

Forked from Leonid Keselman.