
Lanxin Jiang
Assistant Professor
Accounting
Education: PhD, Rutgers University
Email: lanxin.jiang@stonybrook.edu
Website: Lanxin's GitHub
Office: 252 Harriman Hall
Bio
Dr. Lanxin Jiang is an Assistant Professor at the College of Business at Stony Brook
University. She received her PhD in accounting and information systems from Rutgers
University and joined Stony Brook University in 2025.
Professor Jiang's research lies at the intersection of artificial intelligence (AI)
and accounting, with a particular focus on how technologies can improve the effectiveness
and integrity of auditing and financial reporting. Her recent work includes developing
Machine Learning models to detect financial misconduct and improve the validity of
accounting estimates, applying explainable AI to optimize audit partner-client matching,
and exploring the role of emerging technologies in ESG reporting and greenwashing
detection. Professor Jiang's work has been published in top tier journals including
The Accounting Review, Accounting Horizons, International Journal of Accounting Information Systems, and more. She currently serves as an associate editor of Journal of Emerging Technologies in Accounting and serves on the Editorial Board of International Journal of Accounting Information Systems.
Research: Machine learning and AI, archival auditing, detection of accounting misconduct, abnormal accrual estimates and validity, ESG
Teaching: Managerial Cost Analysis and Applications, AI in Accounting and Assurance
Selected Publications
- Predicting Material Misstatements Using Machine Learning, with Abigail Parker, Soohyun Cho, and Miklos Vasarhelyi, The Accounting Review, 2025.
- Using Blockchain and Smart Contracts to Combat Greenwashing in Environmental Disclosures, with Yu Gu and Jun Dai, Accounting Horizons, 2026, Forthcoming.
- A Large Language Model Framework for Detecting Greenwashing Risks, with Yu Gu, Jun Dai, and Miklos Vasarhelyi, International Journal of Accounting Information Systems, 2026.
- Environmental, Social, and Governance Taxonomy Simplification: A Hybrid Text Mining Approach, with Yu Gu and Jun Dai, Journal of Emerging Technologies in Accounting, 2023, 20(1), 305–325.
Media Coverage
- Columbia Blue Sky, "Combating Corporate Greenwashing with Blockchain Technology", 1/15/2026