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I started my Assistant Professor position at the USC Computer Science Department in Fall 2023. Prior to joining USC, I spent a year in the Google Systems Research Group and completed a postdoc at MIT CSAIL under Professor Mohammad Alizadeh. I received my Ph.D. in Computer Science from Stanford University in 2019, advised by Professor John Ousterhout. My Ph.D. studies were supported by the Samsung Scholarship from 2013 to 2018. I earned my B.S. in Computer Science and Mathematics and my M.Eng. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2013. My research focuses on making warehouse-scale parallel systems efficient for big data applications, such as deep neural network training and analytics, aiming for 100–1000 times faster and 10–100 times cheaper solutions. My research includes flash burst computing, resource-efficient deep learning, and energy efficiency in distributed systems. I have previously worked on distributed deep learning systems, distributed analytics, blockchain, resource fungibility, low-latency consensus, distributed system consistency, in-memory large-scale storage, and server overload control. I publish in leading networked systems venues, including NSDI, OSDI, and SOSP.
GRE is NOT required for Master's applicants for 2025-2026.