Ryan de Vries

Ryan de Vries is a Researcher in Biomedical Engineering at Eindhoven University of Technology. His work focuses on integrating computational biology, artificial intelligence, and serious games to advance diabetes self-management and metabolic health research.

• Thesis: 'From Population Level to Personalised Models' (2022), exploring metabolic fitness in heterogeneous populations
• Key Projects: Lead developer of DiaGame, a personalized diabetes self-management game (2019-2025)

Research Interests span:

• Computational Modeling of glucose-insulin dynamics and metabolic resilience
• Nutritional Interventions using personalized models to address obesity and insulin resistance
• AI & Machine Learning for healthcare applications, particularly diabetes management
• Wearable Technology validation in free-living diabetes patients
• Digital Therapeutics through serious games and gamified interventions
• Population Heterogeneity analysis in physiological simulations

Scientific Contributions show a progression from theoretical parameter estimation (2022-2023) to real-world data collection (2023) and comprehensive reviews (2024) on diabetes technologies. His work emphasizes:

• Personalized in silico models
• Data integration from wearables
• Clinical translation of computational biology

Ryan's articles demonstrate strong interdisciplinary collaboration between medical, engineering, and computer science teams, with recent publications in iScience and Diabetes Research and Clinical Practice.