Aditya Parameswaran develops systems for "human-in-the-loop" data analytics — making it easy for end-users and teams to leverage and make sense of their large and complex datasets — by synthesizing techniques from database systems, data mining, and human-computer interaction. His tools span the gamut from scalable spreadsheets (DataSpread) and visualization recommendation systems (Zenvisage), to interactive machine learning (Helix) and data versioning (Orpheus) systems.
Before starting as an Assistant Professor at UC Berkeley in July 2019, Aditya spent nearly five years as an Assistant Professor in Computer Science at the University of Illinois, Urbana-Champaign. And prior to that, he spent a year as a PostDoc at MIT CSAIL following his PhD at Stanford University in 2013.
He has received the Army Research Office Young Investigator Program Award, the NSF CAREER Award, the TCDE Early Career Award, the Dean's Excellence in Research Award and the C. W. Gear Junior Faculty Award from the University of Illinois, multiple "best" Doctoral Dissertation Awards, two "Excellent" teacher awards from Illinois, a Google faculty award and focused research award, the Key Scientific Challenges award from Yahoo!, six best-of-conference citations (VLDB 2010, KDD 2012, ICDE 2014, ICDE 2016, AISTATS 2017, VLDB 2017), a best demo award (ICDE 2019) and a best demo honorable mention (SIGMOD 2017).
He is an associate editor of SIGMOD Record, serves 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, and has served on program committees of various database, data mining, web, systems, and crowdsourcing conferences.