Lin Zhong

Lin Zhong is the Joseph C. Tsai Professor of Computer Science at Yale University, leading the Efficient Computing Lab. He holds a Ph.D. from Princeton University and M.S./B.S. degrees from Tsinghua University. Previously, he served at Rice University from 2005 to 2019. His research focuses on optimizing computing efficiency, quantum error correction, operating systems, and mobile systems.

Education:

• Ph.D., Princeton University
• M.S., Tsinghua University
• B.S., Tsinghua University

Research Interests:
His work spans quantum computing (e.g., decoding algorithms for surface codes), operating systems (safety, correctness, and lightweight kernels), and mobile/networking systems (massive MIMO, energy-efficient designs). Recent trends include integrating large language models (LLMs) into robotics and securing cloud-based AI workflows.

Awards:

• NSF CAREER Award
• ACM SIGMOBILE RockStar (2014) and Test of Time (2022)
• Fellowships from IEEE and ACM
• Best Paper Awards at ACM MobileHCI, IEEE PerCom, ACM MobiSys, and more

Lab & Teams:
His Efficient Computing Lab explores systems for quantum error correction (e.g., FPGA-based decoders), secure embedded systems, and LLM-driven robotics. Projects include TimelyLLM (real-time LLM serving) and Blindfold (confidential memory management).