Dr. Susan Bergin has been an active member of the CS Education community since 2002 and is heavily involved in numerous large-scale pedagogical studies. Her PhD (2006) involved the development of a computational model, using machine learning techniques, to predict programming performance. This involved a multi-variate, multi-institutional study over three academic years and using the data the model was able to predict with 85% accuracy how students were likely to perform after only two weeks on an introductory module. Since then she has been completed numerous new studies in CS pedagogical areas, including a three year action research project on innovative assessment and collaborative learning. She is persistently involved in initiatives to build student confidence and self-esteem (e.g. through peer review, peer tutoring, and collaborative learning); to inspire interest and enthusiasm (e.g. through Problem Based Learning, innovative learning tools and real-world software projects) and promote personal development (e.g. through collaborative projects and community interaction).