He is a member of the Database Lab and an affiliate member of the AI Group and CNS. He obtained his PhD from the University of Wisconsin-Madison in 2016. His primary research interests are in data management, especially the intersection of data management and machine learning, an area that is increasingly called advanced analytics or data science. Systems and ideas based on his research have been released as part of the MADlib open-source library, shipped as part of products from EMC, Oracle, Cloudera, and IBM, and used internally by Facebook, LogicBlox, and Microsoft. He is a recipient of the Best Paper Award at ACM SIGMOD 2014, the 2016 Graduate Student Research Award for the best dissertation research in UW-Madison CS, and a 2016 Google Faculty Research Award. Webpage: http://cseweb.ucsd.edu/~arunkk/