Biography
Shuo (Luna) Yang is an assistant professor of management and business analytics at Penn State Brandywine. Her research connects business history, human capital, and data analytics to examine how organizations and individuals develop, adapt, and make strategic decisions. Her interests include women’s empowerment through management education, large-data analysis of human capital market, and the design of artificial intelligence algorithms and systems for talent management and business optimization.
Yang integrates research and experiential learning into her teaching, helping students apply analytical tools to practical business challenges. Her students presented their work at the campus Student Engagement Expo and academic conferences (e.g., the 2026 Academy of Management Annual Conference in Philadelphia, Mid-Atlantic Organizational Behavior Teaching Conference, etc.). She also mentored three undergraduate research assistants on a business analytics project that resulted in a conference publication coauthored with all three students and earned first place in a poster competition at Penn State Great Valley. She received D’Iorio Undergraduate Research Faculty Mentoring Award in Academic Year 2025-2026.
Her public service includes serving on the AI Advisory Council for the Montgomery County, Pennsylvania, where she assists with the design and implementation of AI-assisted tools for operation optimization, workforce development, and strategic planning. At Penn State Brandywine, she has served on the LaunchBox Student Engagement, Global Education, and Scholarly and Research Communications committees.
Yang’s research and public engagement have received support and recognition through the Cooper Memorial Faculty Fellowship, the Academy of International Business Research Grant, the Penn State Presidential Public Impact Research Award for the 2025–2026 and 2027–2028 cohorts, the Office of Vice President of Commonwealth Campuses (OVPCC) AI Discovery Seed Fund, and the OVPCC Excellent Interdisciplinary Research Grant.
Publications
Yang, S. L., AlSharhan, S., & Arikan, I. (2026). Colonial Mimicry and Organizational Learning: Historical Imprints on Indian and Chinese Indigenous Business Groups. International Business Review, 35(5): 102607. DOI: 10.1016/j.ibusrev.2026.102607
Yang, S. L., et al. (2026). Preparing Job Posting Data for Management Research: A Reproducible Pipeline for Job Content Analysis. Academy of Management Best Paper Proceedings. DOI: https://doi.org/10.5465/AMPROC.2026.195bp
Raza, M. F., Yang, S. L., & Srinivasan, S. M. (2026). Unleashing the Potential of Large Language Models: A Blueprint for Real-Time, Enterprise-Ready Deployments. IEEE Computer, 59(4), 195-199. DOI: 10.1109/MC.2026.3664470
Yang, S. L., Vilataj, E., Raza, M. F., & Srinivasan, S. M. (2025). KANs Layer Integration: Benchmarking Deep Learning Architectures for Tornado Prediction. Big Data and Cognitive Computing, 9(12), 324. DOI: 10.3390/bdcc9120324
Yang, S. L. (2025). Mirror, Mirror: How Can We Fix the “Princess Problem” in the Workplace? Management Teaching Review, 0(0). DOI: 10.1177/23792981251389864