Arun Kumar

Assistant Professor
Computer Science and Engineering
University of California, San Diego
Email: arunkk [at] eng [dot] ucsd [dot] edu
Office: 3218 EBU3B (CSE building)


Arun Kumar is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, San Diego. He is a member of the Database Lab and CNS and an affiliate member of the AI Group. His primary research interests are in data management and systems for machine learning/artificial intelligence-based data analytics. 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, Microsoft, and other companies. He is a recipient of two SIGMOD research paper awards in 2019 and 2014, three distinguished reviewer awards from SIGMOD/VLDB in 2019 and 2017, the 2016 PhD dissertation award from UW-Madison CS, a 2018 Hellman Fellowship, a 2016 Google Faculty Research Award, and a 2019 Oracle Labs Research Award.

Curriculum Vitae | Research Blog | On Twitter

Recent News


My current research focuses on the foundations of advanced data analytics systems that help make the process of building and deploying ML/AI-powered data analytics applications easier (improving the productivity of data scientists and ML/software engineers) and faster (improving runtime performance and introducing accuracy trade-offs). Thus, the key themes of my research are usability, developability, performance, and scalability. I enjoy working on problems that are motivated by real applications and are formally grounded. I also enjoy insightful conversations with practitioners on the frontlines of data analytics.

More details about my research are available on my research group webpage, including current projects, and all of our publications.




  • Supun Nakandala (PhD, CSE, UCSD)

  • Vraj Shah (PhD, CSE, UCSD)

  • Yuhao Zhang (MS, CSE, UCSD)

  • Advitya Gemawat (BS, HDSI, UCSD)

  • Kevin Yang (BS, CSE, UCSD)


  • Lingjiao Chen (MS, CS, UW-Madison, 2018)

  • Side Li (BS, CSE, UCSD, 2018)

  • Anthony Thomas (MS, CSE, UCSD, 2018)

  • Mingyang Wang (MS, CSE, UCSD, 2017)

Technical Service


  • Lead Organizer, SoCal DB Day 2018

  • Co-Chair, ACM SIGMOD Workshop on Data Management for End-to-End Machine Learning (DEEM) 2018

  • Organizing Committee, ACM SIGKDD Workshop on Common Model Infrastructure (CMI) 2018

  • Organizing Committee, Extremely Large Databases (XLDB) 2018

Program Committee:

  • ACM SIGMOD 2020, 2019, 2018, 2017

  • VLDB 2020, 2019, 2018

  • SysML 2019

  • ACM SIGMOD DEEM Workshop 2019, 2017

  • ACM SIGMOD 2017 Demonstrations; Student Research Competition

  • IEEE ICDE 2017

  • USENIX HotCloud 2016

  • ACM SIGMOD 2016 Undergraduate Research Poster Competition


  • ACM Transactions on Database Systems (TODS) 2017, 2015

  • IEEE Transactions on Knowledge and Data Engineering (TKDE) 2014