CV
Seeking a postdoctoral position starting in late 2027. CV (PDF) ยท junda.zhao (at) mail.utoronto.ca
Education
- PhD candidate in Mechanical and Industrial Engineering, University of Toronto, 2022 to present
- Passed the doctoral qualifying examination; expected completion in 2027
- Dissertation (in progress): Accurate Specification Recovery for Effective Test Generation
- Advisor: Prof. Eldan Cohen, Optimization and Machine Learning (OptiMaL) Lab
- Close collaboration with Prof. Shurui Zhou (Electrical & Computer Engineering)
- Honours Bachelor of Science in Computer Science, University of Toronto, 2021
Awards
- ACM SIGSOFT Distinguished Paper Award, ISSTA 2026, for Do Coverage and Mutation Scores of LLM-Generated Test Suites Correlate with Their Effectiveness? (Replicability Study)
- Ontario Graduate Scholarship (OGS), 2024 to 2025
Publications
Junda Zhao, Shurui Zhou, and Eldan Cohen. "Do Coverage and Mutation Scores of LLM-Generated Test Suites Correlate with Their Effectiveness? (Replicability Study)." ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2026). ACM SIGSOFT Distinguished Paper Award.
Junda Zhao, Shurui Zhou, and Eldan Cohen. "Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests." ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2026).
Junda Zhao, Yuliang Song, and Eldan Cohen. "Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models." Journal of Systems and Software, Volume 229, November 2025.
Faria Khandaker, Arik Senderovich, Junda Zhao, Eldan Cohen, Eric Yu, Sebastian Carbajales, and Allen Chan. "Transformer Models for Mining Intents and Predicting Activities from Emails in Knowledge-Intensive Processes." Engineering Applications of Artificial Intelligence, Volume 128, February 2024.
Junda Zhao, Weiling Cai, Yizhen Ge, and Lijuan Zhang. "A New Fuzzy Belonging-based Multi-view K-means Clustering Algorithm." IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON 2019).
Junda Zhao. "Accurate Specification Recovery for Effective Test Generation." SPLASH/ISSTA 2026 Doctoral Symposium.
Research experience
- 2022 to present: PhD candidate, OptiMaL Lab, University of Toronto
- Reliable testing and verification for AI coding agents, with a focus on LLM-based unit test generation
- Specification-based testing: recovering the intended behavior of code that may be buggy, and generating tests from it
- Evaluation of LLM-generated tests and of the metrics used to judge them
- Improving the reliability of testing and verification when people work with AI-assisted development tools
- Code summarization with pre-trained language models of code
- 2021 to 2022: Research Assistant, Dynamic Graphics Project (DGP) Lab, University of Toronto
- Geometric stylization and feature-grid based texture synthesis and transfer
- Undergraduate projects with Prof. Alec Jacobson (geometry processing) and Prof. David Levin (physics-based animation)
Talks and posters
October 09, 2026
Research-track talk at ISSTA 2026, ACM SIGSOFT International Symposium on Software Testing and Analysis, Oakland, California, USA
October 09, 2026
Research-track talk at ISSTA 2026, ACM SIGSOFT International Symposium on Software Testing and Analysis, Oakland, California, USA
November 18, 2025
Journal-First presentation and poster at ASE 2025, IEEE/ACM International Conference on Automated Software Engineering, Seoul, South Korea
October 04, 2026
Doctoral Symposium talk at SPLASH/ISSTA 2026, Oakland, California, USA
Teaching
- Teaching Assistant, MIE1517: Introduction to Deep Learning (graduate course), University of Toronto, Winter 2024, and Fall and Winter terms since Fall 2024
- Teaching Assistant, MIE370: Introduction to Machine Learning (undergraduate course), University of Toronto, Fall 2025
- Teaching Assistant, MIE350: Design and Analysis of Information Systems (undergraduate course), University of Toronto, Fall 2022
Professional experience
- 2019 to 2020: Junior Identity and Access Management Analyst, Information Technology Services, University of Toronto
- Built and maintained a database system for tracking, parsing, and analyzing network access and activity information for students, faculty, and staff