Dr Shu-Chun Lee is an Associate Professor and Director in the PhD Program in Gerontology and Long-Term Care at Taipei Medical University, Taiwan. She was trained as a physiotherapist and her specialty is neurological and geriatric physiotherapy. She completed her Master degree at University of Southampton and PhD degree at King’s College London in the United Kingdom. Her research interests are geriatric syndromes, particularly sarcopenia and frailty, balance and gait, falls and fear of falling. She makes use of various methods to answer research questions such as 1) utilizing clinical assessment and laboratory-based examination (i.e EMG, inertial sensors) to characterize movement, 2) analyzing population-based health databases, 3) developing or examining potential interventions such as physical exercise training to reduce aging-related health problems. Dr Lee is a lead investigator on many research projects and keen on international research collaborations. Please see https://orcid.org/0000-0002-5982-347X  for my latest research projects and publications.

The modern world is facing an unprecedented challenge of aging populations, even in low-to-middle-income countries. Taiwan became an aged society in 2018 and is on schedule to become a super-aged society in 2025. Promoting healthy aging is of the utmost importance. Maintaining functional capacity and preventing geriatric syndromes is the key to staying healthy. The Aging, Mobility, and Health Lab focuses on sarcopenia, frailty, mobility impairment, and falls. Students participating in this program will learn to 1) use population-based national databases to analyze the physical, mental and psychosocial conditions in older population; 2) use laboratory apparatus (e.g. wearable sensors use for assessing balance and gait function, bioelectrical impedance analysis and dynamometer use for diagnosing sarcopenia and frailty) and clinical assessment tools to objectively measure various health outcomes; 3) conduct a quantitative empirical research including quantitative data analysis and writing research reports. 

This program is research-based. It is particularly suitable for master's students or individuals with a master's degree. PhD students may also consider applying. Before applying, please email the following information for preliminary review:
(1) Curriculum Vitae (CV)
(2) Research Proposal
(3) Expected start date and program duration