I am a final-year Ph.D. candidate at the Computer Systems Laboratory (CSL), Cornell University, advised by Professor Christina Delimitrou. I am broadly interested in improving the performance and efficiency of computer systems. My recent research focuses on improving the performance of cloud computing systems with QoS-and-uncertainty-aware resource management, efficient serverless computing architecture, and characterization and optimization of datacenter tax.

Before joining Cornell University, I received my bachelor’s degree from Shanghai Jiao Tong University, where I worked on approximate computing and electronic design automation under the supervision of Professor Weikang Qian.

  • Cloud Computing
  • Serverless Computing
  • Computer Systems and Architecture
  • Ph.D. in Electrical and Computer Engineering, Aug 2024 (Expected)

    Cornell University

  • B.Eng. in Electrical and Computer Engineering, Aug 2019

    Shanghai Jiao Tong University

Recent Publications

(2021). Sinan: ML-based and QoS-aware Resource Management for Cloud Microservices. In ASPLOS.

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(2020). Reliability-Enhanced Circuit Design Flow Based on Approximate Logic Synthesis. In GLSVLSI.


(2020). Sinan: ML-based and QoS-aware Resource Management for Cloud Microservices. In MLArchSys.

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(2018). DALS: Delay-Driven Approximate Logic Synthesis. In ICCAD.

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Research Intern
Google LLC
May 2023 – Nov 2023 Sunnyvale, CA, USA
Hosts: Dr. Vaibhav Gogte, Dr. Nilay Vaish
Research Intern
Intel Corporation
May 2021 – Aug 2021 Hillsboro, OR, USA
Hosts: Ramesh Illikkal, Dr. Bin Li
Software Engineer Intern
Cisco Systems
Jan 2018 – May 2018 Shanghai, China


Head Teaching Assistant
Aug 2021 – Dec 2021 Cornell University
Head Teaching Assistant
Aug 2020 – Dec 2020 Cornell University