Hays T. Watkins Distinguished Term Professor of Business
Professor Tremblay's research focuses on business analytics—particularly in healthcare—design science research, transparent AI, and digital technologies for social justice. Her work appears in leading journals including MIS Quarterly, Information Systems Research, and the Journal of the AIS, and has been supported by federal, state, and private grants totaling over $2 million.
Professor Tremblay's research agenda sits at the intersection of information systems, healthcare analytics, and AI ethics. Her work advances methods for transparent and accountable algorithmic systems, and examines how digital technologies can promote equity and social justice.
Applying business analytics and machine learning to clinical and public health contexts, with community clinic partnerships.
Developing conceptual and computational methods for explainable, accountable AI—including SHAP-based fairness frameworks.
Advancing DSR methodology and applying it to artifact development in healthcare IT and information systems.
Examining process mining in juvenile justice and social services systems.
Professor Tremblay teaches at the intersection of data science and business strategy, with a commitment to real-world application. She uses multiple industry contexts—healthcare, finance, operations, and marketing—to build transferable analytical intuition.
Professor Tremblay develops exam and project variants across distinct industry contexts to simultaneously promote academic integrity and demonstrate cross-domain applicability of analytical methods. She partners with the Lackey Free Clinic to provide students hands-on experience with real clinical data, connecting coursework directly to community health impact.
This redesigned six-week version of IT Infrastructure and Business Transformation uses a single, richly detailed digital transformation case to anchor learning across all modules. Students progress through foundational infrastructure, platforms, digital innovation, governance, and emerging technologies — with AI woven into each stage as a structured reflection and critique tool.
Each week follows a consistent scaffold: students first propose strategies without AI, then use AI tools to generate alternatives and stress-test their decisions, and finally reflect critically on how AI influenced their thinking. The course culminates in team presentations during finals week where students present and defend a comprehensive digital transformation strategy.
Supported by a W&M AI Innovation Grant · Findings to be presented at Mason's AI Power Hour and AI Summit
Named term professorship, Raymond A. Mason School of Business, William & Mary (Aug 2024–Present)
William & Mary · 2022–2023 and 2024–2025
University of South Florida
William & Mary
William & Mary
Florida International University
Healthcare Technology and Decision Sciences Study Section, Agency for Healthcare Research & Quality
University of South Florida
Ph.D. & M.S., Business — University of South Florida
B.S., Industrial & Systems Engineering — University of Florida
Fluent in English, Spanish, and Italian · Proficient in French and Portuguese
Has lived and worked in Italy, Mexico, Venezuela, Brazil, Dominican Republic, and the United States