Dr. Stephanie J. Lunn’s research centers on advancing computing education through an interdisciplinary lens, with particular emphasis on fostering diversity, equity, and inclusion in STEM fields. Her work explores how technical interview preparation, AI ethics, and professional skill development can enhance student learning and readiness for computing careers, integrating pedagogical strategies that cultivate empathy, problem-solving, and collaborative skills among engineering students. She employs innovative approaches combining educational research, human-computer interaction, and cognitive neuroscience to assess and improve learning outcomes, drawing on empirical studies and data-driven insights to inform curriculum design and instructional interventions. Her scholarly contributions include publications in top-tier venues, addressing challenges in computing education, interdisciplinary collaboration, and the ethical application of artificial intelligence. Dr. Lunn has also engaged in program development to support underrepresented groups in technology, mentoring students and facilitating workshops that encourage inclusive participation in STEM. Professionally, she brings extensive experience across academic research, postdoctoral studies, and applied computational projects, spanning neuroscience, biomedical engineering, and educational technology. Her work bridges theoretical frameworks and practical applications, emphasizing human-centered design and the social dimensions of technology education, while promoting evidence-based strategies for teaching, learning, and workforce preparation in computing. Through a combination of research, program leadership, and professional engagement, Dr. Lunn contributes to shaping the next generation of computing professionals with a focus on ethical awareness, social responsibility, and adaptive learning, demonstrating a consistent commitment to advancing both educational practice and the broader societal impact of technology.
Profiles: Scopus | Orcid | Google Scholar
Featured Publications
Lunn, S. J., Arunachalam, N., Becerra, N., Weiss, M., Liu, J., & Narasimhan, G. (2025, June 13). Dipping a toe into computing: Offering a short-term program for students majoring in other fields. Conference paper.
Arunachalam, N., Lunn, S. J., Thapaliya, A., Narasimhan, G., Liu, J., & Weiss, M. (2025, February 18). Crafting opportunities: Establishing a micro-internship program for computing students. Conference paper.
Hooper, K., & Lunn, S. J. (2025, February 18). Traversing new horizons: An exploration of educational policies on generative AI. Conference paper.
Garcia, R., Csizmadia, A., Pearce, J. L., Alshaigy, B., Glebova, O., Harrington, B., Liaskos, K., Lunn, S. J., MacKellar, B., Nasir, U., et al. (2025, January 22). An international examination of non-technical skills and professional dispositions in computing — Identifying the present day academia-industry gap. Conference paper.
Garcia, R., Csizmadia, A., Pearce, J. L., Alshaigy, B., Glebova, O., Harrington, B., Liaskos, K., Lunn, S. J., MacKellar, B., Nasir, U., et al. (2024, July 8). All for one and one for all — Collaboration in computing education: Policy, practice, and professional dispositions. Conference paper.