Published multiple papers at conferences including FSE 2025, CHI 2025, and UIST 2023; Holds patent TW109142419A; Received a Summer Research Grant of $5,000 from the Purdue Computer Science Department.
Research Experience
Served as a Graduate Teaching Assistant for several courses at Purdue University, such as CS 373: Data Mining, CS 240: Programming in C, and CS 180: Problem Solving and Object-Oriented Programming; Interned at Intel Corporation.
Education
Ph.D. candidate in the Department of Computer Science at Purdue University, under the guidance of Professor Tianyi Zhang.
Background
Research interests: Human-Computer/AI Interaction (HCI/HAI), particularly in building novel interactive systems to help data scientists, developers, and end-users. Techniques used include Large Language Models (LLM), Artificial Intelligence, and Programming-by-Demonstration.