Vahe Avagyan

Dr. Vahe Avagyan is an Assistant Professor at the Mathematical and Statistical Methods - Biometris PE&RC group within Wageningen University & Research. His expertise focuses on advanced statistical methodologies for high-dimensional data analysis, with applications spanning genetics, environmental science, and finance.

• Key Research Areas: Precision matrix estimation, robust statistical methods, and penalized regression techniques.
• Applications: Genetic prediction models, carbon emissions analysis, metabolomics, and financial risk management.

Recent research emphasizes computational efficiency in genomic prediction models (GxE interactions) and innovative approaches to handling data contamination in covariance estimation. His work combines theoretical rigor with practical implementations, including app-based data collection for urban sustainability studies.

Collaborations include researchers from Wageningen University, University of Ghent, and financial institutions, reflecting interdisciplinary applications of his statistical frameworks.