Sarah Nadi

Sarah Nadi is an Associate Professor of Computer Science at New York University Abu Dhabi and holds an adjunct professor position at the University of Alberta. She co-directs the SANAD lab where she leads research on developing automated support tools to enhance software developer productivity and effectiveness.

Dr. Nadi's research program centers on mining software repositories to extract insights from version control systems, issue trackers, and developer Q&A sites. Her work specifically addresses critical challenges in software library usage including selection processes, API misuse prevention, and migration to alternative libraries. Recent projects demonstrate increasing integration of AI techniques with traditional software engineering problems, particularly in understanding developer workflows around third-party libraries.

Analysis of her recent publications reveals a strong methodological focus on empirical software engineering with particular expertise in Python ecosystem analysis. Her research trajectory shows evolution from foundational API usage studies toward sophisticated library migration frameworks and LLM applications in developer tooling, maintaining consistent emphasis on empirical validation through large-scale repository analysis.

Dr. Nadi actively contributes to the software engineering community through leadership roles including ASE 2025 Area Chair, program committee service for major conferences (ICSE, ESEC/FSE, ICSME), and keynote presentations such as at ESEC/FSE 2021 Doctoral Symposium. She maintains active supervision of research students and regularly hires fully funded PhD candidates for the SANAD lab at NYUAD.

The SANAD lab under her co-direction develops practical tooling for software developers with current projects focused on library migration benchmarking (PyMigBench), API misuse detection, and evaluating LLM impacts on development workflows. The lab maintains international collaborations and publishes consistently in top-tier software engineering venues.