Several papers accepted at ASE 2025 and AIware 2025, such as 'Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents', 'SPICE : An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation', and 'PromptExp: Multi-granularity Prompt Explanation of Large Language Models'.
Research Experience
Currently a Principal Researcher at the Centre for Software Excellence, Huawei Canada, leading research on software engineering for AI/Foundation Model-based software systems, and improving foundation model’s software engineering capabilities. Has worked in multiple industries including eCommerce, telecommunications, automotive, gaming, and education.
Education
Ph.D. in Computer Science from Queen's University, Canada
Background
Research interests include AI for Software Engineering, Software Engineering for AI Systems, LLM for Code, and Game Engineering. With a solid engineering background, believes in combining rigorous scientific methodologies with robust engineering practices.