Published multiple papers on software engineering, machine learning, fairness, and code analysis. For example: 'Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances' (TOSEM’25), 'The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models' (EASE’25) etc.
Research Experience
MSCA Research Fellow at Simula Research Laboratory, supervised by Professor Leon Moonen.
Education
Master's Thesis: 'Using Deep Learning to Improve Proof-Number Search in Two-Player Board Games'
Background
Research interests lie at the intersection of machine learning and software engineering, non-functional optimization, and fairness. Particularly focused on using large language models trained on source code to detect and repair software vulnerabilities.
Miscellany
Served as a reviewer and program committee member for various journals and conferences such as Information and Software Technology, ICSE, ASE, etc.