Research profile

My research is driven by an interdisciplinary approach at the intersection of clinical science, biomechanics, and digital health. Core areas of interest include:

• Healthy Aging and Preventive Interventions – Exploring biomechanical and physiological pathways to maintain mobility and independence across the lifespan.

• Human–Technology Interaction – Investigating the short- and long-term effects of wearable exoskeletons on gait, motor control, and functional performance in both aging and clinical populations.

• Gait and Movement Analysis – Applying advanced motion capture and sensor-based methodologies to assess locomotor patterns, compensatory strategies, and performance metrics.

• Running Biomechanics and Performance Optimization – Examining running mechanics through experimental and data-driven models to enhance efficiency and reduce injury risk.

• Digital Health and Medical Technologies – Integrating wearable technologies and remote monitoring tools into clinical research to support scalable, data-rich health solutions.

• Big Data and Machine Learning in Human Movement – Leveraging large datasets to model variability, predict outcomes, and refine sampling strategies in experimental and clinical trials.

• Methodological Rigor in Research Design – Evaluating data variability, optimal sample sizes, and the reproducibility of biomechanical outcomes in human subject research.