Institute of Neuroscience

Staff Profile

Dr Christopher Buckley

Research Associate


I received a BSc in Sport and Exercise Science from the University of Chester before shifting my biomechanical interests to a clinical perspective to study an MSc in Biomechanics of Gait and Posture at Liverpool John Moores University.

Following the completion of my MSc, I conducted an MRes/ PhD based at the University of Sheffield that was in collaboration with Newcastle University. My PhD focussed upon the movement of the upper body during gait for people with Parkinson’s disease. It determined whether these movements can detect and objectively quantify gait impairment at the early stages of the disease.

Following the completion of my PhD, I am now working as a Research Associate at the Institute of Neuroscience of Newcastle University in the 
Brain and Movement (BAM) Research Group led by Prof. Lynn Rochester. I am focusing upon investigating the utility of gait as a biomarker for early onset Alzheimer's disease while also maintaining a continued assessment into Parkinson’s disease using wearable technologies. 

Area of expertise: 
Human movement science using wearable technology

Google scholar: Click here.


My research interests relates to biomechanics of human movement, the objective quantification of gait using wearable technology, and signal processing. In particular:

  1. Wearable technology: use of accelerometer-based data for clinical for objective quantification of gait and postural control outcomes.
  2. The development of technology to assess people’s gait and movement patterns in a free-living environment and within a clinic/laboratory
  3. Novel assessment of postural control through a variety of signal processing techniques obtained from wearable devices

For my PhD the majority of my research focus has been to determine if novel ways to assess gait using accelerometer devices located above the pelvis can be used to highlight specific impairments during gait for people with Parkinson’s disease. I am now attempting to discover if these techniques in addition to more traditional measurements of gait can be used as a biomarker for early onset Alzheimer's disease.