CSE Seminar or Event|
Enabling Data Science for the Majority
University of Illinois at Urbana-Champaign
Thursday, January 11, 2018|
10:30am - 11:30am
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About the Event
Despite great strides in the generation, collection, storage, and processing of data at scale, data science is still extremely challenging for the vast majority of the population. The driving goal of our research is to help individuals—regardless of programming or analysis ability—manage, analyze, interpret, and draw insights from large datasets. Over the past three years, we've been building (with collaborators at MIT, UMD, and UChicago) a suite of tools that empower individuals and teams to explore their data more effectively and effortlessly.
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 (2013), before starting at Illinois in August 2014. He develops systems and algorithms for interactive or "human-in-the-loop" data analytics, synthesizing techniques from database systems, data mining, and human computation. Aditya has received the NSF CAREER Award (2017), the IEEE TCDE Early Career Award (2017), the C. W. Gear Junior Faculty Award from Illinois (2017), multiple "best" Doctoral Dissertation Awards (from SIGMOD, SIGKDD, and Stanford in 2014), an "Excellent" Instructor award from Illinois (2016), a Google Faculty award (2015), and five best-of-conference citations (from conferences like VLDB, KDD, and ICDE, 2010-17). 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, Toyota, the Siebel Energy Institute, and Google. His website is at http://data-people.cs.illinois.edu.
Open to: Public