Dr Raimundo Sanchez

Research Fellow

School of Health and Rehabilitation Sciences
Faculty of Health and Behavioural Sciences
r.sanchez@uq.edu.au
+61 7 344 33778

Overview

I am a Research Scientist. With over 15 years of experience, I have developed advanced skills in data analytics, machine learning, mathematical modeling, and research & development. I am Research Fellow at the School of Health and Rehabilitation Sciences, specializing in applying data science and wearable devices to solve problems in health, biomechanics, and sports. In my role, I leverage wearables to study human movement and physiology, providing actionable insights that drive innovation and improve health outcomes. My work involves collaborating with interdisciplinary teams to integrate data-driven solutions that enhance performance and well-being.

Research Interests

  • Advancements in Real-World Gait Analysis
    This line of research explores the development and implementation of advanced protocols and algorithms to study human gait in natural environments. By leveraging electronic devices and sensor data, researchers aim to gain a comprehensive understanding of movement patterns and behaviours. These insights have the potential to revolutionise various fields, including healthcare, where they can aid in diagnosing and monitoring conditions such as Parkinson's disease and stroke recovery, as well as in sports science, by enhancing performance and preventing injuries. The ultimate goal is to translate these findings into practical applications that improve quality of life and optimise human performance.

Research Impacts

Dr. Raimundo Sánchez is actively engaged in research within the fields of digital signal processing, digital sports biomechanics, and endurance sports analytics. His work is setting the groundwork for future advancements in sports science, healthcare, and athlete performance. This innovative research integrates cutting-edge technology with potential applications aimed at enhancing both individual and community health outcomes.

Key Contributions:

  • Potential in Sports Science: Dr. Sánchez is developing predictive models using digital sports biomechanics. These models analyze wearable sensor data to potentially enhance athlete training and minimize injury risks. His ongoing research could lead to significant changes in how coaches and sports scientists optimize training strategies.

  • Innovations in Healthcare: Through digital signal processing, Dr. Sánchez is pioneering diagnostic tools that could improve the detection and treatment of movement disorders. These tools are expected to increase diagnostic accuracy and treatment efficacy in healthcare settings.

  • Advancing Endurance Sports Analytics: His research efforts are directed at refining the data analysis of endurance athletes, aiming to improve training methods and strategies. This work is intended to provide deep insights that could transform athlete management and performance evaluation.

Qualifications

  • Doctor of Philosophy of Systems Engineering, Universidad Adolfo Ibáñez

Publications

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Supervision

  • Doctor Philosophy

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Publications

Journal Article

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Associate Advisor