Travis Ringger

Travis Ringger is an Adjunct Assistant Professor of Accounting at the Leonard N. Stern School of Business, New York University, where he has been teaching since January 2021. His work bridges accounting with cutting-edge technology, focusing on data analytics, artificial intelligence, and large language models to enhance audit, risk, and compliance functions.

His educational background includes:

• BS in Information Systems, Brigham Young University
• MBA, Northwestern University

Professor Ringger specializes in applying machine learning and AI-driven workflows to improve business efficiency and accounting information access. He is passionate about teaching professionals and students how to leverage technology to work smarter, regardless of their technical background. His research and practice focus on transforming traditional accounting functions through intelligent automation, with an emphasis on elevating both service quality and employee productivity.

His teaching includes courses in Financial Data Management & Analysis and Modeling Financial Statements, reflecting his commitment to integrating technical tools into core accounting education.

While no formal scientific awards are listed, his professional impact at PwC and in academic instruction demonstrates a strong applied contribution to the field of accounting technology.

Professor Ringger has extensive industry experience as an IT auditor, data-analytics specialist, and product-and-technology director at PwC, working across banking, manufacturing, education, and consumer products. He has been instrumental in designing and deploying LLM-powered systems that reshape global audit and compliance practices. Though no formal grants are mentioned, his work implies deep engagement with enterprise-scale technology implementation projects.

He is associated with practice-oriented teams at PwC focused on technology innovation in audit and risk management, though no formal lab or research center is mentioned in the text.