Fengzhi joined the Adam Smith Business School in 2023 as Lecturer in Accounting after earning her PhD degree in Accounting from Universidad Carlos III de Madrid. She holds a MRes in Business and Finance and a Bachelor degree in Accounting and Finance from Universidad Carlos III de Madrid. 

Fengzhi is broadly interested in the determinant, properties and consequences of firms' disclosures. Rather than focusing on traditional accounting numbers, she employ natural language processing (NLP) and machine learning (ML) techniques to extract relevant information from open-source unstructured narrative disclosures released via multiple emerging disclosure channels. She is an expert on accounting conservatism and is keen to explore firms' diversity, equity and inclusion disclosures.

Fengzhi is an active member of the European Accounting Association, the Canadian Academic Accounting Association and American Accounting Association.

Fengzhi serves as an ad-hoc reviewer for:

• FARS Midyear Conferences
• EAA Annual Congresses
• Accounting and Business Research
• British Accounting Review
• European Accounting Review
• International Journal of Banking, Finance and Accounting
• International Journal of Disclosure and Governance
• Journal of Accounting and Public Policy
• Journal of International Accounting, Auditing and Taxation
• Spanish Journal of Finance and Accounting
  

Fengzhi is a member of the School's Accounting research cluster.

Areas of expertise:

• Financial Reporting
• Narrative Disclosures
• NLP/ML 
• Accounting Conservatism
• Diversity, Equity and Inclusion

Current PhD supervision:

• Liao, Chonghan

• Rao, Siwei

Fengzhi is interested in supervising PhD students interested in:

• Corporate narrative disclosures
• Accounting conservatism
• Voluntary disclosures
• AI/ML/Textual analysis
• Gender

• ACCFIN1001 Introduction to Business Reporting & Financial Accounting

• ACCFIN5257 Fundamental Analysis and Stock Valuation

• ACCFIN1004 Financial Accounting I, Fall, 2023-2024