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Biography

I am an assistant professor in the Department of Computer Science at Duke University. Before Duke, I was a postdoctoral researcher at UC Berkeley, working with Professor Ion Stoica. I completed my Ph.D. in the Paul G. Allen School of Computer Science and Engineering at University of Washington, advised by Professor Tom Anderson and Professor Arvind Krishnamurthy. My research has received FAST Best Paper Award (2021), Amazon Research Award (2021), IBM Academic Award (2021), and Meta Research Award (2022, 2021).

[Curriculum Vitae]

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Research

My research focuses on the following two directions:

• Datacenter and Cloud Computing
  • Remote Direct Memory Access [NSDI23, NSDI22]
  • Differentially Oblivious Databases [VLDB23]
  • Cloud Network Abstractions [NSDI22]
  • In-Memory Object Stores [VLDB22]
  • Serverless Systems [SIGCOMM21]
  • Safe Language for Kernel Development [FAST21]
  • Network Function Virtualization [SIGCOMM20, NSDI20]
  • Container Networking [NSDI19]
  • Datacenter Networks [SIGCOMM17, NSDI17]
• Machine Learning Systems
  • Serving ML Workflows on the Edge [VLDB23]
  • Model Training with All Parallelisms [OSDI22]
  • Graph Neural Networks [AAAI22]
  • Token-Level Pipeline Parallelism [ICML21]
  • Privacy-Preserving Machine Learning [ICLR21]
  • Tensor Program Generation [OSDI20]

[All Publications]

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Students

I am very fortunate to work with a fantastic group of PhD students.

• Jingrong Chen
• Xinhao Kong
• Samantha Miller (with Tom Anderson)
• Yongji Wu (with Matthew Lentz)

I have a great time working with other fantastic PhD students, including Zhuohan Li, Shihan Lin, Jack Snyder, Kaiyuan Zhang, Lianmin Zheng, Xiangfeng Zhu, Siyuan Zhuang.

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Teaching

• Spring 2023: Distributed Systems (CompSci 512)
• Fall 2022: Introduction to Operating Systems (CompSci 310)
• Spring 2022: Data Center Systems (CompSci 590.04)
• Fall 2021: Introduction to Operating Systems (CompSci 310)
• Fall 2020: Advanced Operating Systems (CompSci 510)

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Service

Organizer:

• 2022: Co-Chair for SIGCOMM Artifact Evaluation Committee

Technical Program Committee:

• 2024: SIGMOD
• 2023: APNET, NSDI
• 2022: APNET, FAST, NSDI, SIGCOMM
• 2021: CoNEXT
• 2020: SIGCOMM

Proposal Review Panel:

• 2022: NSF

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Acknowledgement

I thank the following organizations and companies for their generous support: