My research interests are broadly in building tools for simplifying data science at scale, i.e., empowering individuals and teams to leverage and make sense of their large datasets more easily, efficiently, and effectively.
In the last five years, he has served as Faculty Equity Advisor for the I School, the Workshops Co-Chair at SIGMOD, the US Sponsorship Chair at VLDB, and on the steering committee of the HILDA (Human-in-the-loop Data Analytics) Workshop @ SIGMOD and the DSIA (Data Systems for Interactive Analysis) Workshop @ VIS. He has also served on program committees of various database, data mining, web, systems, visualization, and crowdsourcing conferences, as well as as an associate editor of SIGMOD Record (2014-2019). His research group is supported with funding from the NSF (NRT,Future of Work, CAREER, Medium, AITF, BigData), the NIH (2X), the Army Research Office, the Sloan Foundation, the Toyota Research Institute, Microsoft, Sigma Computing, Adobe, the Siebel Energy Institute, Facebook, and Google.