home >  
Meet Faculty
meet
Supawit Chockshowwat
Meet
Supawit Chockshowwat

Expertise:

Pronouns
He/him
Fun Fact
Swimming, cycling, and running are sports I can enjoy doing all day long, just not as quickly as you might think.
Courses
  • Data Management
  • Database Management Systems
  • Data Mining, or Machine Learning

I am a Visiting Faculty Researcher at Google, focusing on database efficiency research at scale and in emergent areas. My research interests revolve around data systems at the intersection of database management systems, data mining, probabilistic algorithms, machine learning, and distributed systems.I received my Ph.D. from the University of Illinois Urbana-Champaign (UIUC) in 2025 and my B.S. from the University of Texas at Austin in 2020, under the unwavering support of Prof. Yongjoo Park, the CreateLab members, Prof. Chandrajit L. Bajaj, Prof. Scott Niekum, Caleb C. Chuck, and Prof. Cem C. Tutum. The ACM ICPC and the UT Programming Contest (UTPC) are an important part of myself, having inspired me with extraordinarily talented teammates: Ethan Arnold, Ryan Rice, Celic Savk, Alex Meed, and Brian Richer.As a summer intern, I have tinkered with someone else’s data systems: Google Spanner’s schema tuning, Google AlloyDB’s database tuning, Google Data Pipeline’s distributed shuffle, Robinhood Spending’s transaction, Facebook Location-Aware Distribution’s large-scale data distribution, and Uber’s analytics infrastructure.

Education
  • 2020–2025: Doctor of Philosophy, University of Illinois Urbana-Champaign
  • 2016–2020: Bachelor of Science with Turing Scholars Honors in Computer Science, The University of Texas at Austin

Current Research

Ongoing Projects

  • Database Efficiency and Tuning
  • Data Systems for Modern AI Workflows
  • Version Control and Data Provenance
  • Interactive Data Analytics

Selected Publications
  • Supawit Chockchowwat, Sumay Thakurdesai, Zhaoheng Li, Matthew S. Krafczyk, Yongjoo Park. Chipmink: Efficient Delta Identification for Massive Object Graph. VLDB’26: 52nd International Conference on Very Large Data Bases, Boston, USA, September 2026.
  • Zhaoheng Li, Supawit Chockchowwat, Ribhav Sahu, Areet Sheth, Yongjoo Park. Kishu: Time-Traveling for Computational Notebooks. VLDB’25: 51st International Conference on Very Large Data Bases, London, United Kingdom, September 2025.
  • Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park. Enhancing Computational Notebooks with Code+Data Space Versioning. CHI’25: ACM Conference on Human Factors in Computing Systems, Yokohama, Japan, April 2025.
  • Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park. Large-Scale Evaluation of Notebook Checkpointing with AI Agents. CHI LBW’25: ACM Conference on Human Factors in Computing Systems (Late-Breaking Work), Yokohama, Japan, April 2025.
  • Supawit Chockchowwat, Wenjie Liu, Yongjoo Park. AirIndex: Versatile Index Tuning Through Data and Storage. SIGMOD’24: ACM Special Interest Group on Management of Data, Santiago, Chile, June 2024.
  • Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park. A Step Toward Deep Online Aggregation. SIGMOD’23: ACM Special Interest Group on Management of Data, Seattle, USA, June 2023.
  • Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park. Airphant: Cloud-oriented Document Indexing. ICDE’22: 38th International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 2022.