- Paper on 'Harnessing LLMs for curated code reviews' accepted at MSR 2025
- Paper on 'A reference architecture for LLM-integrated systems' accepted at ICSA 2025
- Paper on 'Parameter-efficient fine-tuning for code generation with LLMs' accepted at ACM Transactions on Software Engineering and Methodology (TOSEM)
- Paper featuring a 'lifelong learning dataset for language models of code' accepted at MSR 2024
- Paper on 'continual learning and out-of-distribution generalization for PLMs of code' accepted at FSE 2023
- Paper on 'syntax probing for pre-trained language models of code' accepted at ASE 2022
- Paper about 'multimodal learning with concept graphs for code' accepted at ICSE-NIER 2022
- Paper about 'pre-trained language models for MDE' accepted to SOSYM journal AI-MDE theme issue
Research Experience
- Research Scientist (Postdoc), Singapore Management University, Oct 2024 - Present
- Visiting Ph.D. Researcher, SCIS, Singapore Management University, Oct 2022 - Sept 2024, Advisor: Prof. David Lo
- Ph.D. Student, DIRO, University of Montreal, Sep 2020 - Sept 2024
Education
- Ph.D. in Computer Science, DIRO, University of Montreal, Advisor: Prof. Houari Sahraoui
- Master's degree in Data Science, University of Namur
- Bachelor's degree in Computer Science and Mathematics, University of Namur
Background
Research interests include deep learning, natural language processing, and software engineering, with a special focus on large language models for code analysis. Currently a Research Scientist (Postdoc) at Singapore Management University, focusing on using LLMs for software vulnerability detection.