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I build quantitative systems for understanding how humans move, perform, using data from wearable sensors in real-world conditions.

My work sits at the intersection of machine learning, signal processing, and sports and health science. I develop the analytical infrastructure that makes large-scale, free-living sensor research feasible: pipelines for IMU and GNSS data, predictive models for physical activity and pain dynamics, and validation frameworks for wearable devices.

At UQ, I contribute to the CIPHeR program (NIH/NHMRC-funded), investigating mechanisms of chronic low back pain through longitudinal modelling of movement, sleep, stress, and pain. I also lead Metric Trails, an applied R&D initiative developing high-precision geospatial standards for trail and mountain running.

My background spans academia and industry. Before UQ, I led data science teams at LATAM Airlines and built research programs in wearable analytics and geospatial modelling at Adolfo Ibáñez University in Chile, where I supervised 19 postgraduate theses.

I work across disciplines, with physiotherapists, sports scientists, engineers, and clinicians, and across an international network of collaborators in Australia, Chile, Norway and Spain.

Dr Stephen Sanderson is an expert in nonequilibrium molecular dynamics simulation, with a particular interest in fundamental theory and method development. His current research focuses on developing new methods based in response theory for efficient calculation of nonequilibrium steady state properties, with applications in fluid dynamics, energy materials, heat flow, and quantum systems, among others. Previously, Stephen worked as a Postdoctoral Research Fellow in the group of Prof. Debra Bernhardt, where his focus was on nonequilibrium thermodynamics and statistical mechanics theory, and improving capacity for molecular dynamics simulation of fluids. He holds undergraduate degrees in electrical engineering and physics and a PhD in physics from James Cook University, during which he developed and applied kinetic Monte-Carlo simulations of charge and exciton dynamics coupled with atomistic molecular dynamics deposition simulations to establish a better understanding of structure-property relationships in organic semiconductors, particularly organic light-emitting diodes.

A/Prof Benn Sartorius is an established spatial and global health epidemiologist, with a particular interest in the burden of infectious disease and attributable determinants at sub-national, national and global scales as a tool to help inform and optimise policy at national and subnational scales. Dr Sartorius a principal research fellow in UQ's ODeSI team at University of Queensland, an affiliate professor in Department of Health Metric Sciences at University of Washington and a honorary visiting research fellow at University of Oxfored. Prior to join UQ, Dr Sartorius was the principal investigator for the Global Research on Antimicrobial Resistance (GRAM) Project based in the Centre for Tropical Medicine and Global Health at University of Oxford.

Dr Sartorius' research has focused on better understanding the spatial-temporal burden and risk factors of multiple IDs, including mosquito-borne diseases such as malaria, sexually transmitted infections, neglected tropical diseases such as soil-transmitted helminths and onchocerciasis, vaccine preventable diseases, emerging infectious diseases and more recently focused on antimicrobial resistance. These and other examples highlight the utility of spatial epidemiology to identify higher risk areas that should be prioritised for more targeted, tailored and resource efficient intervention and control measures. However, often spatial risk estimates for IDs are often not produced in-country in settings such as the Pacific, where disease burden is high and local modelling expertise is limited, resulting in use of incomplete/biased data and resulting in inefficient and suboptimal decision-making. I’ve been a collaborator on the Global Burden of Disease (GBD) project since 2014 and the Scientific Council for the GBD Project since 2015. Dr Sartorius is a member of the WHO Reference Group on Health Statistics (RGHS) and chair of the Age-Specific Mortality Estimation and Life Table Computation task force. Benn's vision, through ODeSI-HERA, is to expand his international profile and leadership in spatial-temporal epidemiology of priority infectious diseases in Australia and the Pacific. This will include spatial epidemiological innovation, and capacity building to improve health outcomes in high-risk and vulnerable sub-populations within the region, and will be co-created with stakeholders in the region to ensure that it aligns with their priorities, and support precision-based decision-making systems to help policy makers optimise resource allocation and guide targeted interventions.

Broad remote sensing skills across terrestrial and aquatic environments. Working to democratise spatial data access and use. Happiest when producing and delivering automated, operational and validated national and global scale products that can be used by scientists, policy and the public.

Professor Clair Sullivan is an internationally-recognised leading practising and academic clinical informatician who helps drive digital health transformation in Queensland and globally.

Clair is the Director of the new Queensland Digital Health Centre within the Centre for Health Research at The University of Queensland.

A specialist endocrinologist, Clair graduated with Honours in Medicine from The University of Queensland and earned a Research Doctorate in Medicine from the University of Leeds. In 2014, Clair began a parallel career in the emerging field of digital health and has held significant leadership roles in digital health practice and governance across government and academia. Her work is regularly translated into practice and informs policy in Australia and globally.

Clair is currently Professor of Digital Health at UQ and Conjoint Professor of Community Diabetes at Metro North Health. She is an Adjunct Professor at the Faculty of Health, Queensland University of Technology and an Adjunct Professor, School of Health and Biomedical Sciences at Royal Melbourne Institute of Technology. She is Clinical Director for Community Diabetes at Metro North Health.

She is a fellow of the Royal Australasian College of Physicians, the Australian College of Health Informatics and the Australasian Institute of Digital Health.

Clair serves on several national advisory boards for digital health. She is the recipient of several awards including the 2021 Premier’s Award for Excellence for her team’s work on the digital response to COVID-19 and the 2022 Telstra Brilliant Connected Women in Digital Health Award.

She has generated over $70M in grant funding and has deep collaborations with government and industry. She is ranked in the top 1% of Medical Informatics researchers globally.

Dr Gabriele Tartaglino-Mazzucchelli's research interests include topics in theoretical physics of fundamental interactions and mathematical physics like supersymmetry, supergravity and superspaces in various space-time dimensions, quantum field theory, extended supersymmetry, covariant formulations of superstrings, complex geometry, quantum gravity, holography, (A)dS/CFT and integrability.

Since October 2019 Dr Tartaglino-Mazzucchelli has joined the School of Mathematics & Physics at the University of Queensland (UQ) as Senior Lecturer (Level C), Australian Research Council (ARC) Future Fellow. He has been an Amplify Fellow and a tenured Senior Lecturer since 2025.

Dr Tartaglino-Mazzucchelli's obtained his PhD at the University of Milano Bicocca in November 2006. After that, and before joining UQ, he held several academic appointments and fellowships in Australia (UQ and The University of Western Australia), Belgium (KULeuven U.), Sweden (Uppsala U.), Switzerland (Bern U.), and the USA (Maryland U.).

So far in his career, Dr Tartaglino-Mazzucchelli's successfully attracted competitive research grants and awards for approximately 2.7 million Australian dollars, including, among other grants, a Marie Curie fellowship, an ARC DECRA award, and an ARC Future Fellowship – some of the most prestigious fellowships available to early and middle career researchers in Europe and Australia – and two ARC Discovery Projects, one recently awarded as first Chief Investigator.

Dr Mike Trott is a Research Fellow with the Queensland Centre for Mental Health Research (QCMHR), The University of Queensland, where he serves as Section Head of Epidemiology and Biostatistics within the Physical and Mental Health Research Group. He specialises in lifestyle psychiatry, clinical trials, and psychiatric epidemiology, with a particular focus on addressing the physical health inequities faced by people with schizophrenia and other severe mental illnesses.

His current research program addresses three major themes:

• Physical activity and sedentary behaviour – understanding their impact on mental and physical health and developing interventions, including the effectiveness of movement breaks to reduce sedentary time and cardiometabolic risk in people with schizophrenia, and the risk profiles of different types of sedentary behaviours.
• Clinical trials – leading the methodological and statistical aspects of a national platform of several schizophrenia clinical trials to find strategies to improve mental and physical health in this population
• Pharmacoepidemiology - using statewide and national linked data to determine the comparative effectiveness of clozapine augmentation strategies for treatment-resistant schizophrenia, as well as examining the mortality gap in several mental illness vs the general population.

Radislav (Slava) Vaisman is a faculty member in the School of Mathematics and Physics at the University of Queensland. Radislav earned his Ph.D. in Information System Engineering from the Technion, Israel Institute of Technology in 2014. Radislav’s research interests lie at the intersection of applied probability, statistics, and computer science. Such a multidisciplinary combination allows him to handle both theoretical and real-life problems, in the fields of machine learning, optimization, safety, and system reliability research, and more. He has published in top-ranking journals such as Statistics and Computing, INFORMS, Journal on Computing, Structural Safety, and IEEE Transactions on Reliability. The Stochastic Enumeration algorithm, which was introduced and analyzed by Radislav Vaisman, had led to the efficient solution of several problems that were out of reach of state of the art methods. In addition, he is an author of 3 books with three of the most prestigious publishers in the field, Wiley, Springer, and CRC Press. Radislav serves on the editorial board of the Stochastic Models journal.

Dr Michael Waller: is a biostatistician working on the Australian Longitudinal Study of Womens Health (ALSWH). He has previous experience working on cancer screening, and military health studies. His current research focus is using linked data sources to assess dementia rates and risk factors.

Yibo Wang is a Postdoctoral Research Fellow at the URBANiQ node within the Institute for Social Science Research (ISSR) at UQ. His current research focuses on urban mobility in relation to public health, with particular emphasis on carbon emissions, socio-demographic patterns, travel modes, heat exposure, and accessibility to health services and infrastructure.

Yibo has a strong interdisciplinary background spanning geographic information systems and mechatronic engineering. He obtained a BEng from BUAA, where he was involved in the design and development of LiDAR systems. He subsequently completed a MEng at ANU, further developing technical expertise in machine learning and computer vision. More recently, he was awarded a PhD from UQ with research focusing on the statistical characteristics of carbon emissions generated by urban travel activities and how these emissions are jointly shaped by household characteristics and the built environment.

Yibo’s combined experience in science and engineering has equipped him with expertise in the design, fabrication, and validation of advanced remote sensing systems, as well as in the analysis of large-scale datasets to inform applied research and policy. At ISSR, he continues to integrate and extend these skills, contributing to improved everyday mobility and public health outcomes in urban contexts.

Dr Nicole Warrington is a NHMRC Emerging Leadership Fellow at the University of Queensland Institute for Molecular Bioscience. She has a strong background in statistical genetics and has been actively working towards understanding the genetic determinants of early life growth. Dr Warrington studied a Bachelor of Science at Victoria University in Wellington, New Zealand, majoring in Mathematical Statistics and Psychology. She then completed an honours degree at The University of Western Australia, where she developed a keen interest for genetics, and was subsequently awarded an Australian Postgraduate Award to complete her PhD in statistical genetics and life-course epidemiology. During her PhD she spent time at the University of Toronto to gain experience in statistical modelling methods for longitudinal growth trajectories and conducted the first genome-wide association study of longitudinal growth trajectories over childhood. After completing her PhD, Dr Warrington started at the University of Queensland and focused on using genetics to inform about the relationship between birth weight and cardio-metabolic diseases in later life. She pioneered a new statistical method to partition genetic effects on birth weight into maternal and fetal components, and combined this method with a causal modelling approach, Mendelian randomization. This method was instrumental in demonstrating the relationship between birth weight and adult hypertension is driven by genetic effects, over-turning 30 years of research into the effects of intrauterine programming. More recently, her research focus has broadened to determine whether rapid weight growth across early life, including fetal development, childhood and adolescence, causally increases risk of cardio-metabolic disease and in doing so, hopes to identify optimal times across the life-course where interventions could reduce the incidence of cardio-metabolic diseases.

Dr. Ian Wood’s research interests are in classification, bioinformatics, stochastic optimisation, machine learning and mixture models.

He received his PhD from the University of Queensland in 2004.

Kazutoshi Yamazaki is a senior lecturer at the School of Mathematics and Physics, the University of Queensland. Before joining UQ in April 2022, he was an assistant professor at Osaka University and an associate professor at Kansai University. He is an applied probabilist with contributions in the field of insurance and financial mathematics and operations research. He has organised various conferences including the Probability Theory and Stochastic Processes session at the 65th AustMS 2021 annual meeting. He is also one of the organisers of Mathematics of Risk 2022, a MATRIX event to be held in December 2022. Kazutoshi obtained his PhD in Operations Research and Financial Engineering from Princeton University in 2009.

A/Prof Yao-Zhong Zhang's research interests are in: Algebraic structures, quantum (super)integrable systems, (quasi-)exactly solvable models, supersymmetry, and conformal field theory.

Yao-Zhong Zhang received his PhD from Northwest University, China, in 1988 under the supervision of Prof Bo-Yu Hou. He spent 12 years in Europe, Japan and Australia as Postdoctoral/Research Fellow, before becoming in 2001 a permament staff member as a Senior Lecturer in Mathematics of the University of Queensland. Since 2006, he has been Reader/Associate Professor in the School of Mathematics and Physics of the University of Queensland.