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I am a Ph.D. student at the Department of Computer Science at the University of Chicago, advised by Aaron J. Elmore and Michael J. Franklin. I also work closely with Sanjay Krishnan. My research centers on building systems for machine learning and data science, currently focusing on building efficient deep learning training systems and data-intensive query processing systems in resource-constrained and shared environments, and exploring the unification and generalization of resource sharing in these systems. I am a research intern at the Gray Systems Lab of Microsoft, was a data science intern at the AI Engineering Team of DocuSign and a visiting student at Argonne National Laboratory.
Before my Ph.D. journey, my research experience included building systems for blockchain, data cleaning, mobile computing, and ubiquitous computing. I was a research assistant at the Department of Computer Science at the National University of Singapore, working with Beng Chin Ooi, and a research assistant at the Department of Information Engineering at The Chinese University of Hong Kong, working with Kehuan Zhang. I received my M.Phil degree in computer science from The Hong Kong Polytechnic University, advised by Jiannong Cao, and got my B.Eng degree at the Northeastern University of China.