DSG Seminar Series • Enabling Data Science for the 99%

Aditya Parameswaran, Department of Computer Science
University of Illinois-Urbana Champaign

There is a severe lack of interactive tools to help people manage, analyze, and make sense of large datasets. This talk will briefly cover three tools under development in our research group (with collaborators at Illinois, MIT, Maryland, and Chicago) that empower individuals and teams to perform interactive data analysis more effectively. The three tools span the spectrum of analyses types — from browsing with DataSpread, a spreadsheet-database hybrid, to exploration with ZenVisage, a effortless visualization recommendation tool, and finally to analysis and collaboration with Orpheus, a database system that supports versioning as a first-class citizen.

Presentation slides (PDF)

Video of lecture (mp4)

Aditya Parameswaran is an Assistant Professor in Computer Science at the University of Illinois (UIUC). He spent a year as a PostDoc at MIT CSAIL following his PhD at Stanford University, before starting at Illinois in August 2014. He develops systems and algorithms for "human-in-the-loop" data analytics, synthesizing techniques from database systems, data mining, and human computation.

Aditya received the NSF CAREER Award, the TCDE Early Career Award, the C. W. Gear Junior Faculty Award from Illinois, multiple "best" Doctoral Dissertation Awards (from SIGMOD, SIGKDD, and Stanford), an "Excellent" Lecturer award from Illinois, a Google Faculty award, the Key Scientific Challenges award from Yahoo!, and multiple best-of-conference citations. He is an associate editor of SIGMOD Record and serves on the steering committee of the HILDA (Human-in-the-loop Data Analytics) Workshop. His research group is supported with funding from the NSF, the NIH, Adobe, the Siebel Energy Institute, and Google.