Dominique Loyer

Doctoral researcher in cognitive informatics specializing in explainable AI (xAI), recommendation systems, and information credibility verification. Research focuses on hybrid neuro-symbolic systems combining ontological frameworks with machine learning. Expertise in algorithmic governance, digital sociology, and AI ethics. Proficient in Python, LaTeX, Git, and advanced research methodologies.

• Git
• GitHub
• JavaScript
• Linux
• OneDrive
• Python

1. Université du Québec à Montréal (UQAM)

   Ph.D. in Cognitive Informatics, Cognitive Informatics

   Montreal, QC

   2024 to 2026

   Status: Examen de Synthèse Doctoral Completed (2024-2025) Dissertation: Hybrid System for Information Credibility Evaluation using Neuro-Symbolic AI and Ontological Rule-Based Frameworks Key Areas: Explainable AI, Recommendation Systems, Information Verification, Algorithmic Governance Affiliation: Institut des Sciences Cognitives (ISC)

2. Université du Québec à Montréal (UQAM)

   M.S. in Cognitive Science (Equivalent), Cognitive Science

   Montreal, QC

   2022 to 2024

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• FrenchNative