Kaiwei Tu

Ph.D. in Computer Science

University of Wisconsin-Madison

I am about to join the AI and System Co-design team at Meta as a Research Scientist.

I recently received my Ph.D. in Computer Science from the University of Wisconsin-Madison, where I was fortunate to be advised by Prof. Andrea Arpaci-Dusseau and Prof. Remzi Arpaci-Dusseau, as a member of The ADvanced Systems Laboratory (ADSL). My research focuses on managing heterogeneous storage and memory systems.

Before coming to Wisconsin, I received a BEng in Computer Science from the University of Michigan-Ann Arbor and a BEng in Electrical Engineering from Shanghai Jiao Tong University.

Experience

Software Engineering Intern, AI and Systems Co-design

Research Intern, Google Cloud

Google

May 2022 – Aug 2022

Software Development Engineer Intern

Citrix

May 2018 – Aug 2018

Recent Publications

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Kaiwei Tu, Kan Wu, Andrea C Arpaci-Dusseau, Remzi H Arpaci-Dusseau (2026). Getting the MOST out of your Storage Hierarchy with Mirror-Optimized Storage Tiering. In FAST'26.

Kan Wu, Kaiwei Tu, Yuvraj Patel, Rathijit Sen, Kwanghyun Park, Andrea C Arpaci-Dusseau, Remzi H Arpaci-Dusseau (2022). NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching. In FAST'22.

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Kan Wu, Zhihan Guo, Guanzhou Hu, Kaiwei Tu, Ramnatthan Alagappan, Rathijit Sen, Kwanghyun Park, Andrea C Arpaci-Dusseau, Remzi H Arpaci-Dusseau (2021). The storage hierarchy is not a hierarchy: Optimizing caching on modern storage devices with orthus. In FAST'21.

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