Thierry Chekouo Tekougang

Thierry Chekouo Tekougang is an Associate Professor in Biostatistics at the University of Minnesota's School of Public Health. His research focuses on advanced statistical methodologies with applications in biomedical and public health domains.

• Key Research Areas: Bayesian modeling, multi-omics integration, proteomics, and longitudinal data analysis
• Current Projects: Mitochondrial nutrient transport, cervical spinal pathology in MPS patients, influenza vaccine efficacy, and wastewater-based pandemic surveillance

His recent publications highlight innovations in Bayesian hierarchical models for gene expression analysis, statistical learning frameworks for multi-omics data, and proteomic studies in neurodevelopmental disorders. Methodologically, he emphasizes interpretable modeling and environmental health monitoring systems.

Active collaborations span institutions and disciplines, as evidenced by his roles as Co-Investigator in NIH-funded projects addressing metabolic pathways, spinal cord pathology, and vaccine development. His work contributes to SDGs through public health monitoring and biomedical research advancements.