I am an incoming Assistant Professor (starting Sep. 2027) in the Department of Computer Science at ETH Zurich. I am affiliated with the ETH Systems Group, and currently a researcher at AMD.
My research interests are broadly in networking and systems. My recent work has focused on building scalable, cost- and power-efficient scale-up and scale-out networks for AI data centers using optical interconnects. I also work on machine learning systems, software-defined networking, and applying AI to systems.
Prior to ETH, I completed my Ph.D. in Computer Science at Carnegie Mellon University, co-advised by Srinivasan Seshan and Peter Steenkiste. Before that, I worked at Google as a technical lead/engineer. I received my M.S. from the University of Virginia, and B.S. from Wuhan University.
I am looking for PhD students and postdocs to join my group starting in Fall 2027. If you are interested, please reach out by email. Undergrads can also mention my name on the application to the ETH Direct Doctorate program.
News
Received the G-Research PhD thesis award.
Completed my PhD at CMU!
Selected Publications
View All →Toward Co-adapting Machine Learning Job Shape and Cluster Topology
Shawn Shuoshuo Chen, Daiyaan Arfeen, Minlan Yu, Peter Steenkiste, Srinivasan Seshan
arXiv 2025
LinkPrecise Data Center Traffic Engineering with Constrained Hardware Resources
Shawn Shuoshuo Chen, Keqiang He, Rui Wang, Srinivasan Seshan, Peter Steenkiste
NSDI 2024
LinkTime-division TCP for Reconfigurable Data Center Networks
Shawn Shuoshuo Chen, Weiyang Wang, Christopher Canel, Srinivasan Seshan, Alex C. Snoeren, Peter Steenkiste
SIGCOMM 2022
LinkOrion: Google's Software-Defined Networking Control Plane
Andrew D. Ferguson, Steve Gribble, Chi-Yao Hong, Charles Killian, Waqar Mohsin, Henrik Muehe, Joon Ong, Leon Poutievski, Arjun Singh, Lorenzo Vicisano, Richard Alimi, Shawn Shuoshuo Chen, Mike Conley, Subhasree Mandal, Karthik Nagaraj, Kondapa Naidu Bollineni, Amr Sabaa, Shidong Zhang, Min Zhu, Amin Vahdat
NSDI 2021
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