Brecht Verbeken

Brecht Verbeken is a Post-doctoral Researcher at Vrije Universiteit Brussel's Brussels Humanities, Sciences & Engineering Campus, specializing in interdisciplinary research bridging Operations Research, Stochastic Modeling, and Artificial Intelligence. His work integrates mathematical rigor with practical applications across manpower planning, large language models, and econometric forecasting.

His primary research focuses on stochastic processes for workforce management, including maintainability and attainability in semi-Markov systems, eigenvalue regions for stochastic matrices, and causal inference methods like uplift modeling. Recent work explores lexical accuracy in LLM reasoning chains and the internalization of scientific literature by AI systems, demonstrating strong cross-disciplinary connections between mathematical theory and modern AI challenges.

Analysis of his 2022-2025 publications reveals a clear trajectory from traditional stochastic modeling toward AI integration, with consistent contributions to manpower planning while expanding into NLP, causal inference, and econometrics. His mathematical work on stochastic matrix properties provides foundational support for applied research in workforce optimization and AI evaluation, indicating a versatile approach to complex system modeling.