Published in ACM Transactions on Software Engineering and Methodology (TOSEM), 2024: 'Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality'
Published in Empirical Software Engineering (EMSE), 2024: 'Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries Across Software Package Ecosystems'
Published in IEEE Access, 2024: 'Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting'
Multiple manuscripts under review on topics including testing practices in AI agent frameworks, prompt management in GitHub, license drift in open-source AI ecosystems, empirical studies of agentic coding, and research roadmaps for Agentic Software Engineering
Contributed to studies on yanked releases in Rust, software engineering research on Jupyter Notebook, and hierarchical software updates for UAV swarms