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Rafal Wlodarski's research interests lie at the intersection of Software Engineering, particularly focusing on software development methods and pedagogy, with an emphasis on bridging the gap between software engineering education and industrial needs. He is currently investigating the use of generative Artificial Intelligence (GenAI) in the context of auto-grading and formative assessment gamification. As part of his dissertation work, Rafal evaluated iterative sequential software development lifecycle models applied to student teams, creating a hybrid approach suited for projects in a higher education setting. His professional career in academia includes years of experience in software development management. In his free time, Rafal enjoys electronic music, traveling, and taking aerial photographs.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.