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
Bishop-MacDermott Family Professor
·
2020 - 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
What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract
Conference ACM International Conference Proceeding Series · June 9, 2024 Declarative querying is a cornerstone of the success and longevity of database systems, yet it is challenging for novice learners accustomed to different coding paradigms. The transition is further hampered by a lack of query debugging tools compared to th ... Full text CiteQr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries
Journal Article Proceedings of the ACM on Management of Data · May 29, 2024 We describe a system called Qr-Hint that, given a (correct) target query Q* and a (wrong) working query Q, both expressed in SQL, provides actionable hints for the user to fix the working query so that it becomes semantically equivalent to the targ ... Full text CiteDevelopment and validation of VaxConcerns: A taxonomy of vaccine concerns and misinformation with Crowdsource-Viability.
Journal Article Vaccine · April 2024 We present VaxConcerns, a taxonomy for vaccine concerns and misinformation. VaxConcerns is an easy-to-teach taxonomy of concerns and misinformation commonly found among online anti-vaccination media and is evaluated to produce high-quality data annotations ... 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.