I am deeply passionate about contributing to research and production at the intersection of ML 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.

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.

For prospective students, if you are interested in the topics below, please kindly drop me an email

  • 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.

  • ML runtime systems are of practical importance in modern AI applications. I am working on efficient and generalizable runtime systems for 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, algorithms and techniques such as storage and query optimization are within my research scope.