Assistant Professor
School of Computing
National University of Singapore
COM2-3-42

I am passionate about contributing to research and production at the intersection of AI and systems. Throughout my academic and industry journey, I have engaged with various tiers of the technology landscape and acquired hands-on experience in data science, core systems, advanced cloud infrastructures, and a diverse range of AI applications. The research topics I am interested in include:

• Cloud systems for AI: I am building next gen cloud systems for AI and aided by AI, as the cloud architecture evolving in the new context of large generative models. Please refer to our vision paper.

• Model serving systems are of practical importance in modern AI applications. I am working on efficient serving systems for large model inference and finetuning.

• AI in big-data analytics: I am also interested in applying AI in big-data analytics with multi-modal inputs such as text, image, graph and time series data. Systems such as data lakes and knowledge bases, techniques such as data parsing and query optimization are within my research scope.

• Applications of AI: This is a comprehensive playground of all the technologies above to derive real-world values. Topics include AI agents in social study and finance.

I received PhD from the University of Washington in 2018. After that, I spent 5 years as a researcher in the Data Systems group at Microsoft Research Redmond.