My research interests are in the fields of data management, data science, and data analytics related to machine learning, including databases, data-intensive computing,  search, and large-scale analytics and visualization. My PhD thesis at Stanford was on data integration, with an emphasis on both theoretical and practical aspects. My recent research, especially after spending a few quarters at Google and a few years doing a startup as its founder and CTO, has a strong preference on engineering and open source system building.  I believe “Computer Science” is a “Science” to support great engineering, and we need to build systems to stay relevant in this fast-paced IT era. I was a co-PI of the Apache AsterixDB project. Since 2016, our team has been developing the Texera open-source system to support cloud-based collaborative data science, AI, and ML using workflows.