Dr. Jorge Miguel Chávez-Diaz is a Postgraduate
Professor at the Universidad Nacional Mayor de San Marcos (UNMSM), where he
teaches Artificial Intelligence in Business and Public Management. He completed
his PhD in Accounting at the Universidad Nacional Federico Villarreal (UNFV)
and holds an MBA from the University of Bordeaux (France); he is also a RENACYT
Researcher (Level III) and recipient of the 2023 National Accounting Award
granted by the JDCCPP. He has led and contributed to tax auditing
engagements, digital transformation projects at SUNAT, and the preparation of financial
expert reports in the Odebrecht case (Ad Hoc Prosecutor’s Office). He has
published multiple papers in scholarly journals and serves as President of the
Functional Technical Committee for Accounting Research of the Lima College of
Public Accountants, supporting professional societies and research initiatives.
His teaching disciplines include AI applications in management, accounting, auditing
and control, and public management, and his interests include forensic
accounting, risk management, digital transformation, and financial information
quality.
Dr. Jorge Miguel Chávez-Diaz is a Postgraduate
Professor at the Universidad Nacional Mayor de San Marcos (UNMSM), where he
teaches Artificial Intelligence in Business and Public Management. He completed
his PhD in Accounting at the Universidad Nacional Federico Villarreal (UNFV)
and holds an MBA from the University of Bordeaux (France); he is also a RENACYT
Researcher (Level III) and recipient of the 2023 National Accounting Award
granted by the JDCCPP. He has led and contributed to tax auditing
engagements, digital transformation projects at SUNAT, and the preparation of financial
expert reports in the Odebrecht case (Ad Hoc Prosecutor’s Office). He has
published multiple papers in scholarly journals and serves as President of the
Functional Technical Committee for Accounting Research of the Lima College of
Public Accountants, supporting professional societies and research initiatives.
His teaching disciplines include AI applications in management, accounting, auditing
and control, and public management, and his interests include forensic
accounting, risk management, digital transformation, and financial information
quality.