Guy Stephane Waffo Dzuyo
PhD Candidate in Artificial Intelligence
LORIA, CNRS, Universite de Lorraine · Forvis Mazars
My research sits at the intersection of Natural Language Processing and Financial Analysis. I develop AI methods for auditing — classifying companies by industry sector and detecting financial fraud through multimodal LLM-based analysis.
Research Focus
Time-Series Forecasting
Sequence models and state space architectures for temporal prediction and anomaly detection in financial time series.
Journal Entries Anomaly Detection
Detecting manipulation and irregularities in accounting journal entries using ML and LLM-based analysis.
Fraud Detection
Robust evaluation frameworks for financial statement fraud detection using LLMs and multimodal data.
Publications
View all →Benchmarking Generalization in Financial Statement Fraud Detection: Robust Evaluation and Novel Tasks
Guy Stephane Waffo Dzuyo, Gael Guibon, Christophe Cerisara, Luis Belmar-Letelier
ForensicBench: Evaluating Agentic LLMs on Journal-Entry Fraud Detection
Guy Stephane Waffo Dzuyo, Gael Guibon, Christophe Cerisara, Luis Belmar-Letelier
Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification
Guy Stephane Waffo Dzuyo, Gael Guibon, Christophe Cerisara, Luis Belmar-Letelier
Get in Touch
Interested in collaborating or have questions about my research? Feel free to reach out.
Affiliations
- LORIA, CNRS, Universite de Lorraine
- Forvis Mazars