I am a Master student from CSE at University of California, San Diego and located at San Diego, 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 computer supported collaboration work, software engineering, HCI, and social computing.
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 with 172 participants to explore how LLM-driven conversational cues influence idea generation, submitted to CSCW 2025. Additionally, I found LLM chatbots made experienced programmers feel confused, accepted at PLATEAU 2025. I also work on auditing YouTube's recommendation systems to assess the impact of long and short videos on content delivery.
Sept 2022 - March 2025 (expected)
San Diego, CA
Planned Thesis: “Usability analysis of autocomplete”
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, Jimmy Koppel, Michael Coblenz
Plateau Workshop (Plateau 2025, Accepted).
Jude Rayan, Shaokang Jiang, Nishant Balaji, Jinmao Wang, Ian Gross, Cole Biehle, Steven P.
Dow
Proceedings of the ACM on Human-Computer Interaction (PACM HCI). (CSCW 2025, under
review).
Shaokang Jiang and Michael Coblenz
Proceedings of the ACM on Software Engineering (FSE 2024).
(25% acceptance rate). [Poster]