Overview
Jun's primary research interest lies in the area of databases and data-intensive computing. One of his current passions is computational journalism, the idea of leveraging computing to help preserve and advance journalism, especially in the public interest.
For Jun's publications, please see the publications page of his website. (The "Selected Publications" section below is NOT actively curated by himself.)
Current Appointments & Affiliations
Knut Schmidt Nielsen Distinguished Professor of Computer Science
·
2025 - Present
Computer Science,
Trinity College of Arts & Sciences
Professor of Computer Science
·
2014 - Present
Computer Science,
Trinity College of Arts & Sciences
Associate of the Duke Initiative for Science & Society
·
2020 - Present
Duke Science & Society,
University Initiatives & Academic Support Units
Recent Publications
CrypQ: A Database Benchmark Based on Dynamic, Ever-Evolving Ethereum Data
Conference Lecture Notes in Computer Science · January 1, 2026 Modern database systems are expected to handle dynamic data whose characteristics may evolve over time. Many popular database benchmarks are limited in their ability to evaluate this dynamic aspect of the database systems. Those that use synthetic data gen ... Full text CitePAR2QO: Parametric Penalty-Aware Robust Query Optimization
Conference Proceedings of the VLDB Endowment · January 1, 2025 Parametric Query Optimization (PQO) is an important problem in database systems, yet existing approaches suffer from high training costs, sensitivity to estimation errors, and vulnerability to severe performance regressions. This paper introduces PAR2QO (P ... Full text CiteHint-QPT: Hints for Robust Query Performance Tuning
Conference Proceedings of the VLDB Endowment · January 1, 2025 Query optimizers rely heavily on selectivity estimates to choose efficient execution plans, but inaccuracies in these estimates often result in poor query performance. We introduce Hint-QPT (Hints for Robust Query Performance Tuning), an interactive tool d ... Full text CiteRecent Grants
III: Medium: Responsive Optimization for Algorithmic Decision Systems
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2024 - 2027III: Medium: Ask the Experts: Generating Question-Answer Pairs for Addressing Information Deficits about Vaccines
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2022 - 2026IIS: Small: Helping Novices Learn and Debug Relational Queries
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2020 - 2024View All Grants
Education, Training & Certifications
Stanford University ·
2001
Ph.D.
University of California, Berkeley ·
1995
B.A.