Richard Mackenzie

Richard Mackenzie is an Associate Professor (Research) affiliated with the Centre for Health and Life Sciences. His work spans glucose metabolism, skeletal muscle physiology, and obesity research, with recent innovations in AI-driven biomedical sensing technologies.

• Research focus areas: Diabetes, Exercise Physiology, and Non-Invasive Medical Devices
• Key collaborations: International partnerships in AI and nutrition studies

His publications highlight interdisciplinary approaches combining molecular biology with machine learning for glucose monitoring. Recent work explores the intersection of dietary interventions, sedentary behavior, and metabolic health.

Technological contributions include:

• Multi-sensor AI frameworks for glucose detection
• Millimeter-wave and near-infrared sensing systems