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Associate Professor

Kim van Schooten


Current Appointments

Senior Research Fellow
Conjoint Associate Professor, School of Population Health, UNSW
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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 leads a research program transforming how mobility and fall risk are measured and managed in older people. Her work integrates wearable sensors, neuroscience, and biomechanics to capture real-world mobility, establishing that daily-life gait provides sensitive markers of fall and injury risk beyond traditional assessments. She investigates the mechanisms underlying mobility decline by linking brain integrity, cognition, affect, muscle strength, pain, and sleep to dynamic changes in mobility. She translates these insights into digital biomarkers, enhanced clinical tools, and scalable interventions embedded into aged care systems through digital health and implementation research.

Kim has secured more than $6.7M in competitive national and international funding and published over 80 peer-reviewed articles in leading journals. She 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 mentors early-career researchers through international 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

2026, 01 Dec

Obstructive sleep apnea risk is associated with poor physical performance: a cross-sectional analysis of the U.S. health and retirement study

View full journal-article on https://app.dimensions.ai/details/publication/pub.1200173901

2026, 07 Jul

Bench-stepping training improves stair-walking dynamics in older women: evidence from an exploratory nonlinear kinematic analysis

View full preprint on https://doi.org/10.64898/2026.07.02.26357116

2026, 01 Jul

Development of a concern about falling scale for older adults living in long-term care settings

View full journal-article on https://app.dimensions.ai/details/publication/pub.1204024817

2026, 01 Jul

Adherence trajectories and predictors of digital balance exercise for fall prevention in community-living older people

View full journal-article on https://app.dimensions.ai/details/publication/pub.1202233204

2026, 21 May

Preferences of older Australians for fall prevention exercise program features: a discrete choice experiment

View full journal-article on https://app.dimensions.ai/details/publication/pub.1201790797

2026, 01 May

A comparison of treadmill preferred walking speed assessments: Reliability of common protocols and the novel TreadPWS Test

View full journal-article on https://app.dimensions.ai/details/publication/pub.1198164331

2026 Mar

“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

2026, 01 Jan

Are Real-World Mobility Patterns Early Indicators of COPD Onset? Insights from Wrist-Worn Sensors

View full journal-article on https://app.dimensions.ai/details/publication/pub.1204117260

2026

Co-creating an implementation model for digital health solutions for community aged care: an eHealth fall prevention program

View full journal-article on https://www.scopus.com/inward/record.url?eid=2-s2.0-105034782755&partnerID=MN8TOARS

2025, 01 Dec

AI-Driven Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity

View full journal-article on https://app.dimensions.ai/details/publication/pub.1196841798


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