Professor of Accounting · Pace University
Ph.D., CMA — Artificial Intelligence (AI) Collaborator in Accounting & Finance
Bringing artificial intelligence into accounting and finance scholarship: applying machine learning, deep learning, text analytics, and probabilistic topic modelling to financial-distress prediction, sustainability disclosure, corporate governance, and audit quality.
View Publications Get in TouchA scholar bringing artificial intelligence into accounting and finance research.
Dr. Picheng Lee is a Professor of Accounting at the Lubin School of Business, Pace University, New York. His research spans artificial intelligence in accounting and finance, corporate governance, corporate social responsibility, environmental sustainability, earnings management, earnings forecasts, financial distress, intangible assets, and the Sarbanes‑Oxley Act, with publications in leading journals including Auditing: A Journal of Practice & Theory, Journal of Accounting, Auditing and Finance, and IEEE Transactions on Engineering Management.
Dr. Lee is an artificial intelligence (AI) collaborator in accounting and finance. Since 2001 — long before the current wave of AI — his work has applied artificial neural networks, deep learning, text analytics, probabilistic topic modelling, and machine learning to bankruptcy prediction, financial-distress forecasting, sustainability and ESG disclosure, and audit quality, collaborating with co-authors and students to bring AI methods into mainstream accounting and auditing research.
Peer-reviewed research organized into nine streams, led by artificial intelligence. Use the filters to browse a specific area.
For research collaboration, AI in accounting and finance, or student advising.
Dr. Lee welcomes conversations with students, researchers, and professionals about artificial intelligence in accounting and finance, research collaboration, and student advising.
Share your research idea or a question about AI in accounting and finance, and Dr. Lee will respond with next steps.
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