Areas of Interest: Artificial intelligence, Large language models, Natural language processing, Machine learning, Business analytics, Information systems, Accounting quality, Corporate disclosure, Empirical asset pricing
Ph.D. in Accounting, Victoria University of Wellington M.S. in Applied Data Science, University of Chicago BCA (1st Class Honors) in Accounting, Victoria University of Wellington
Dr. Wang is an interdisciplinary researcher and educator working at the intersection of artificial intelligence, business analytics, and accounting and finance. His research applies large language models and natural language processing to problems in financial reporting and disclosure, including the reliability and internal mechanisms of the models themselves, alongside empirical work in accounting quality and asset pricing. Ongoing projects examine the detection of hallucinations in financial question answering systems, machine learning measurement of disclosure quality, and the asset pricing implications of accounting-based signals. His work appears in Decision Support Systems (ABDC A*), the Journal of Computer Information Systems (ABDC A), and the Journal of Accounting Literature (ABDC A). At Fisher, he teaches information systems, business analytics, and finance at the undergraduate and MBA levels. Before returning to academia, he built AI and machine learning systems deployed in Fortune 500 companies. A full list of his publications is available on his Google Scholar profile.
Richard (Zhe)WangAssistant Professor of PracticeSalerno 243zwang@sjf.edu(585) 385-8437/media/sized-image-library/headshots-160-x-160/headshots-s-z/Richard-Zhe-Wang.jpgDr. Wang is an interdisciplinary researcher and educator working at the intersection of artificial intelligence, business analytics, and accounting and finance. His research applies large language models and natural language processing to problems in financial reporting and disclosure, including the reliability and internal mechanisms of the models themselves, alongside empirical work in accounting quality and asset pricing. Ongoing projects examine the detection of hallucinations in financial question answering systems, machine learning measurement of disclosure quality, and the asset pricing implications of accounting-based signals. His work appears in Decision Support Systems (ABDC A*), the Journal of Computer Information Systems (ABDC A), and the Journal of Accounting Literature (ABDC A). At Fisher, he teaches information systems, business analytics, and finance at the undergraduate and MBA levels. Before returning to academia, he built AI and machine learning systems deployed in Fortune 500 companies. A full list of his publications is available on his Google Scholar profile.Ph.D. in Accounting, Victoria University of WellingtonM.S. in Applied Data Science, University of ChicagoBCA (1st Class Honors) in Accounting, Victoria University of WellingtonArtificial intelligence, Large language models, Natural language processing, Machine learning, Business analytics, Information systems, Accounting quality, Corporate disclosure, Empirical asset pricingChartered Financial Analyst (CFA)
Certified Management Accountant (CMA)
