Rate My Professor Benjamin Goodlich

Benjamin Goodlich is a Lecturer in Physiotherapy in the School of Health at the University of the Sunshine Coast. He possesses a Bachelor of Exercise Science (BExSc), Master of Physiotherapy (MPhty), Master of Medical Research (MMedRes), and PhD. Prior to his appointment at the University of the Sunshine Coast, Goodlich held positions as a lecturer and doctoral candidate at Griffith University, associated with the Menzies Health Institute Queensland. As a practicing physiotherapist, he trains undergraduate students in physiotherapy and conducts research on neuromuscular function.

Goodlich's academic interests center on the neural control of movement, motor unit physiology, and the influence of serotonergic neuromodulation through 5-HT2 receptors on muscle contraction dynamics. His studies examine motor unit firing rates, persistent inward currents, torque steadiness, and rate of torque development during isometric and rapid voluntary contractions. He investigates age-related changes in motoneuron excitability, motor unit adaptations to strength training in young and older adults, and impairments in conditions such as multiple sclerosis. Additional research includes quantifying physical activity in children with cerebral palsy using machine learning and assessing the reliability of tools like the VALD DynaMo dynamometer for isometric strength measurement. Key publications comprise 'Antagonism of 5-HT2 receptors attenuates self-sustained firing of human motor units' (2024), 'Blockade of 5-HT2 receptors suppresses motor unit firing and estimates of persistent inward currents during voluntary muscle contraction in humans' (2023), 'Motor unit discharge and torque steadiness is reduced in people with Multiple Sclerosis when performing voluntary muscle contractions' (2025), 'Ageing does not impair motor neuron adaptations: comparable motor unit responses to strength training in young and older adults' (2026), 'Reliability of VALD DynaMo dynamometer to assess upper and lower body isometric strength in healthy adults' (2025), 'Motor unit tracking using blind source separation filters and waveform cross-correlations: reliability under physiological and pharmacological conditions' (2023), and 'Machine learning to quantify habitual physical activity in children with cerebral palsy' (2020). His work has received 145 citations on ResearchGate, contributing insights into rehabilitation strategies for neuromuscular disorders.