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

My passions lie at the intersection of AI, systems and science. 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:

• Machine learning, data and cloud systems: I am building next gen systems for AI, as the cloud architecture evolving in the era of large generative models. Please refer to our vision paper.

• Data-centric AI: I am interested in applying AI in data science and analytics with multi-modal inputs. Topics include data integration, exploration and algorithms.

• AI for science: This is a comprehensive playground for systems, data, and AI research to derive real-world values. Currently I am exploring AI for finance and economics.

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.