I complete my Ph.D. in Computer Science and Engineering at University of Notre Dame, advised by Collin McMillan in Automatic Program Comprehension Lab. My research interests lie in artificial intelligence with the applications to software engineering (AI4SE). I develop human-aligned LLMs based on the empirical studies that understands how human programmers comprehend code in various SE tasks (e.g. source code summarization and bug localization). My goal is to increase the productivity of software engineer by developing human-like software angents. Here are some RQs that I have explored:

• How can we develop a framework to include the context that programmers use for software engineering tasks ? (ICPC’26 Demo), (JSS’25), (ASE Journal’24), (ASE Journal’24), (JSEP’24)
• How can we develop a human-aligned LLMs for software engineering tasks ? (EMSE’26), (ASE’23 NIER)

News

• May 2026, I have defended my dissertation, Human-Guided Language Models for Source Code Summarization. I will be joining York University to work with Maleknaz Nayebi as a postdoc fellow starting this August.