I am a Ph.D. graduate from the Harvard Architecture, Circuits, and Compilers Group at Harvard University. I am now currently a Software Engineer at Google, working on performance optimization of datacenter workloads. During my Ph.D., my research interests included hardware acceleration, machine learning and deep neural networks, SoC design and integration, and hardware specialization in datacenter workloads. I was advised by Professors David Brooks and Gu-Yeon Wei.
I play the piano and violin actively and am always looking for some chamber music partners who share my love for classical music. I love running, playing tennis, and hiking in my spare time. I am also an avid photographer, specializing in landscapes, astrophotography, and portraiture.
I like to explore problems in computer architecture at many levels of the system. In particular, I am interested in co-designing SoCs with hardware accelerators to fully take advantage of their performance and efficiency, with a focus on deep learning applications. I have also built accelerators for datacenter workloads, validated power models of general purpose CPUs, and investigated near-data processing for big data applications.