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Dr Jonathan Davies is a chronic pain researcher working to improve how pain is understood, assessed and treated. His research focuses on pain phenotyping, precision pain care, and the psychological, physiological and contextual factors that shape pain and treatment response.

At UQ’s Centre for Innovation in Pain and Health Research, he contributes to DISCERN, an NHMRC Synergy-funded multidisciplinary research program developing and validating new approaches to pain assessment. A major focus of his work is DECIPHER PAIN, a standardised, multimodal tool designed to characterise the relative contributions of nociceptive, neuropathic and nociplastic pain and support more personalised care.

His research integrates clinical assessment, quantitative sensory testing, experimental pain methods, psychophysiology, digital health and population data. He is particularly interested in how physiological signals, behaviour, language, psychosocial context and real-world health data can be combined to better understand individual differences in pain and treatment outcomes.

His broader expertise includes placebo and nocebo effects, mindfulness, mental health, quality of life, health outcome measurement and population health. His work aims to support more precise, scalable and patient-centred approaches to pain research and care.

Itia is an optical physicist and neuroscientist recently awarded an ARC DECRA fellowship. She is based at the Queensland Brain Institute in Brisbane. Her research focuses on studying the zebrafish brain using advanced techniques such as whole brain calcium imaging and specialized light shaping devices. Notably, she has pioneered the application of optical tweezers to simulate the zebrafish inner-ear's responses to acceleration and hearing, offering novel insights into sensory processing mechanisms. She has also engineered imaging systems for conducting optogenetic experiments with real-time feedback in zebrafish models. Beyond technique development, Itia explores the noradrenergic system in zebrafish, investigating its pivotal role in modulating sensory functions. Her interdisciplinary approach combines optical physics with neuroscience to advance our understanding of neural circuits and sensory perception mechanisms in zebrafish.

Dr Michael Morgan is a mid-career academic with a robust foundation in basic sciences, who has built a distinguished path exploring the biological underpinnings of pain—particularly musculoskeletal pain and osteoarthritis. With influential lead author publications in PAIN, Osteoarthritis and Cartilage and Bone his work bridges molecular mechanisms and translational insights. Now pivoting toward clinical research, he is deepening his focus on another musculoskeletal condition, focusing on whiplash injury and the multidimensional nature of pain, driving cross-disciplinary studies that aim to connect lab findings with real-world patient outcomes.

I am a postdoc at the Computational Imaging Group, led by Steffen Bollmann. I recently finished my Ph.D. in Computational Imaging at UQ. Specifically, my Ph.D. work involved predicting the functional organization of the human visual cortex from underlying anatomy using geometric deep learning. To tackle this and other research questions, I am leveraging my interdisciplinary background in Biophysics (Bachelor's degree; University of Sao Paulo, Brazil), Neuroscience (Master's degree; Federal University of ABC, Brazil), and now the intersection of AI and imaging. I am interested in (geometric) deep learning, vision, neuroscience, and explainable and fair AI research.

Cristian Riveros-Matthey is a dedicated and highly motivated researcher with a strong academic background in biomechanics and motor control, holding a PhD from the School of Human Movement and Nutrition Sciences (HMNS) at The University of Queensland.

He has demonstrated expertise in applying advanced technologies for human movement analysis, including markerless 3D motion capture systems, force sensors, surface and high-density electromyography (hdEMG), and ultrasound imaging. He is also proficient in data analysis and signal processing using MATLAB and Python.

Cristian’s research focuses on musculoskeletal simulation and optimisation to investigate the principles underlying action selection and the cost functions that drive human movement in constrained locomotor tasks, such as cycling, level walking, and uphill walking.