Maria Guangyue Zhang
Ph.D. Candidate in Accounting Information Systems
Rutgers Business School
Email: gz132@newark.rutgers.edu
Accounting | AI | Internal Control Monitoring | Financial Disclosure Quality | Cybersecurity Assurance | Crypto Assets
Ph.D. Candidate in Accounting Information Systems
Rutgers Business School
Email: gz132@newark.rutgers.edu
Accounting | AI | Internal Control Monitoring | Financial Disclosure Quality | Cybersecurity Assurance | Crypto Assets
GPA: 4.0/4.0| Qualification Exam: Passed in 2022 | Expected Graduation: Fall 2025
About me: Maria Guangyue Zhang is a Ph.D. candidate in Accounting and Information Systems (AIS) at Rutgers Business School. Her research and practical experience focus on how emerging technologies can improve data-driven assurance. Her research interests include AI, governance and disclosure, cybersecurity assurance, blockchain and cryptocurrency, and fair value measurement. She has published in leading peer-reviewed AIS journals and is actively involved in academic conferences and professional education initiatives.
Dissertation:
Title: Essays on Data-Driven Assurance: Navigating Risk Assessment and Disclosure of Cybersecurity and Digital Assets in the Digital Age
Publications and working papers:
Zhang, G., Sannella, A., Brennan, G., & Muhammad, T. (2024), Fair Value Estimates for Illiquid Cryptocurrency, International Journal of Accounting Information Systems, 54, 100700, available at https://doi.org/10.1016/j.accinf.2024.100700
(ABDC Ranking A)
Zhang, G., Atasoy, H., & Vasarhelyi, M. (2022), Continuous Monitoring with Machine Learning and Interactive Data Visualization: An Application to A Healthcare Payroll Process, International Journal of Accounting Information Systems, 46, 100570, available at https://doi.org/10.1016/j.accinf.2022.100570
(ABDC Ranking A)
Beyond the Click: How Pixel Tracking Technologies Influence Patient Data Privacy and Security in Hospitals. With Atasoy, H. (Rutgers), and McDonough, R. (Rutgers). Revise and resubmit with minor revision at The Proceedings of the National Academy of Sciences NEXUS (PNAS NEXUS)
The Current Status of 10-K Item 1C Cybersecurity Disclosure. With Won No (Rutgers). Under preparation for submission (Job Market Paper)
Technical skills: 
Python
Artificial Intelligence (AI) 
Machine learning
Statistical modeling
Text Mining
Tableau Data Visualization
Celonis Process Mining
Blockchain Simulation
Languages:
English (Proficient)
Chinese (Native)