📢 I am on the faculty job market. Feel free to reach out if you're also on the market or have opportunities to share!

I am a Malone Postdoc Fellow in the Department of Computer Science at Johns Hopkins University, affiliated with the Malone Center for Engineering in Healthcare and the Center for Language and Speech Processing. I am mentored by Mark Dredze, Ziang Xiao, and Chien-Ming Huang. My research lies at the intersection of Human-Computer Interaction, AI, and Software Engineering. [more] Previously, I was a Postdoctoral Associate at the Singapore-MIT Alliance for Research and Technology (SMART), working with Thomas W. Malone on collective intelligence and human-AI collaboration. I received my Ph.D. from the Singapore University of Technology and Design (SUTD), advised by Simon Perrault. During my Ph.D., I was a visiting student at the University of Notre Dame (hosted by Toby Jia-Jun Li) and the National University of Singapore (hosted by Shengdong Zhao). Prior to that, I received my M.Eng. from Zhejiang University and B.Eng. from Shanghai University.

From AI-assisted code comprehension to qualitative analysis, I design, build, and evaluate human-AI collaborative systems for tasks requiring intensive human judgment, especially where no or little ground truth exists (e.g., qualitative analysis [TOCHI 2023, CHI 2024], code comprehension and code review [ICPC 2026 🏆 ACM SIGSOFT Distinguished Paper Award], subjective data annotation [EMNLP 2025]). As AI takes on increasingly autonomous roles in these workflows, I study how humans can effectively collaborate with AI, and how humans can evaluate and oversee AI systems to ensure trustworthy results.

I use tools to bring my design ideas to life. Building software that solves real problems genuinely makes me happy. My latest tool is mindcoder.ai.

I am mostly interested in two complementary directions: