Marco Schreyer
Scholar

Marco Schreyer

Google Scholar ID: O6V5YkEAAAAJ
Swiss Federal Audit Office (SFAO)
Deep LearningArtificial IntelligenceAudit Data AnalyticsFraud Detection
Citations & Impact
All-time
Citations
662
 
H-index
13
 
i10-index
15
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Publications: International Journal of Accounting Information Systems, ACM ICAIF Conference, etc.
  • - Awards: FedTabDiff paper won the AAAI 2024 workshop best paper award
  • - Projects: Involved in multiple research projects related to financial auditing
Research Experience
  • - Swiss Federal Audit Office, contributing at the intersection of agentic AI and financial auditing
  • - International Computer Science Institute (ICSI) and UC Berkeley, as a DAAD IFI Postdoc
  • - University of St.Gallen (HSG), member of AI:ML research group
  • - PricewaterhouseCoopers (PwC) Forensic Services, specializing in advanced data analytics for forensic accounting and fraud investigations
Education
  • - Ph.D., University of St.Gallen (HSG), supervised by Damian Borth and Miklos A. Vasarhelyi (visiting research fellow at CARLab, Rutgers University from 2022 to 2023)
  • - DAAD IFI Postdoc, International Computer Science Institute (ICSI), affiliated with UC Berkeley
  • - Bachelor's degree, University of Mannheim
Background
  • Research Interests: Intersection of agentic artificial intelligence and financial auditing. Professional Area: Applying deep learning techniques in audits. Brief Introduction: Since mid-2024, working at the Swiss Federal Audit Office to develop novel approaches to make audits more effective.
Miscellany
  • Personal interests and hobbies not mentioned
Co-authors
0 total
Co-authors: 0 (list not available)