Kim van Schootenprofile image
Associate Professor

Kim van Schooten


Current Appointments

Senior Research Fellow
Conjoint Associate Professor, School of Population Health, UNSW
email hidden; JavaScript is required

Associate Professor Kimberley (Kim) van Schooten is a Senior Research Fellow at Neuroscience Research Australia (NeuRA) and Conjoint Associate Professor in the School of Population Health at UNSW Medicine & Health. She trained in Human Movement Sciences at VU University Amsterdam, completing her PhD in 2015, and has held research positions in the Netherlands, Canada, and Australia before joining NeuRA in 2017.

Kim’s research focuses on understanding and preventing mobility impairments and falls in older people by integrating wearable sensors, neuroscience, and biomechanics. She was among the first to demonstrate that daily-life gait characteristics, such as variability and stability, strongly predict fall risk. Building on this, Kim has developed digital biomarkers and risk prediction tools that outperform conventional approaches and are being translated into clinical and aged-care settings.

She has secured more than $6.7M in competitive national and international funding, published over 80 peer-reviewed articles in leading journals, and her work is shaping the future of digital health and mobility science. Kim supervises a large team of PhD students, postdocs, and research staff, with her trainees consistently advancing to competitive fellowships and international positions.

Kim contributes to research leadership through service on boards and committees, including the International Society of Posture and Gait Research (ISPGR) and WHO AI for Health initiatives. She also mentors early-career researchers through international mentoring programs and was selected for the Australian Academy of Health and Medical Sciences (AAHMS) Mentorship Program in 2025.

You can follow Kim’s research below and through Google Scholar.


Publications

2025, 01 Aug

Virtual obstacle-avoidance training using daily-life obstacles with physical feedback in older people: A cross-over trial

View full journal-article on https://app.dimensions.ai/details/publication/pub.1187852696

2025, 01 Jul

Wearable Technology in Mobility and Falls Health Care: Finding Consensus on Their Clinical Utility and Identifying a Roadmap to Actual Use

View full journal-article on https://app.dimensions.ai/details/publication/pub.1184268875

2025, 09 May

“More Than Intensity: It Is How Pain Affects What I Do”: Unveiling the Multifaceted Impact of Pain in Older People on Daily Life

View full journal-article on https://doi.org/10.1177/07334648251340163

2025 May

Virtual reality obstacle avoidance training can be enhanced by physical feedback via perturbations: A proof-of-concept study

View full journal-article on https://doi.org/10.1016/j.apergo.2024.104442

2025, 01 Apr

The effect of pain on gait in older people: A systematic review and meta-analysis

View full journal-article on https://app.dimensions.ai/details/publication/pub.1183365517

2025, 01 Jan

Editorial: Gender differences in falls and mobility patterns of older adults

View full journal-article on https://app.dimensions.ai/details/publication/pub.1189549431

2024, 01 Dec

Efficacy of obstructive sleep apnea treatment in reducing fall risk in older adults: Study protocol for a clinical trial

View full journal-article on https://app.dimensions.ai/details/publication/pub.1182104992

2024, 01 Sep

The relationship between pain, quality of life and physical activity in older community living Australians

View full journal-article on https://app.dimensions.ai/details/publication/pub.1174439839

2024, 13 Aug

The Impact of Misaligned Perceived and Objective Fall Risk in Cognitively Impaired Older People

View full journal-article on https://app.dimensions.ai/details/publication/pub.1173989825

2024, 01 Aug

External Validation and Further Exploration of Fall Prediction Models Based on Questionnaires and Daily-Life Trunk Accelerometry

View full journal-article on https://app.dimensions.ai/details/publication/pub.1173113228