I am a PhD student from Software Engineering at University of California, Irvine and located at Irvine, CA currently. Individuals and groups often struggle with programming, collaboration, learning and using software or systems effectively and equitably. Observing programmers struggle to start with new codebases drives my passion for improving the programming environment. This motivates my pursuit of a Ph.D. in software engineering, HCI, and computer supported collaboration work.
My previous research focuses on human-computer interaction, software engineering, and social computing. I designed and conducted an eye-tracking study integrated with a VSCode-based platform to evaluate autocomplete features, finding they improve information acquisition but do not necessarily boost productivity, and published the results at FSE 2024. I collaborated with others on a large-scale experiment to explore how LLM-driven conversational cues influence idea generation, published at CI 2025. Additionally, I found LLM chatbots made experienced programmers feel confused, accepted at PLATEAU 2025.
Sept 2025 - June 2029 (expected)
Irvine, CA
Advised by Daye Nam
Sept 2022 - March 2025
San Diego, CA
Thesis: "Usability Analysis of Programming Assistants"
Advised by Michael Coblenz
Also supervised by Kristen Vaccaro, Deepak Kumar, and Steven Dow
Aug 2019 - May 2021
GPA: 4.00/4.00, Madison, WI
Dean's List of College of Letters & Science at UW-Madison, Fall 2019 - Fall
2020
Shaokang Jiang and Michael Coblenz
Proceedings of the International Conference on Software Engineering (ICSE 2026, under review).
Shaokang Jiang, Jimmy Koppel, Michael Coblenz
Plateau Workshop (Plateau 2025).
Jude Rayan, Shaokang Jiang, Nishant Balaji, Jinmao Wang, Ian Gross, Cole Biehle, Steven P.
Dow
proceedings of the ACM Collective Intelligence Conference. (CI 2025).
Shaokang Jiang and Michael Coblenz
Proceedings of the ACM on Software Engineering (FSE 2024).
(25% acceptance rate). [Poster]