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Professor Roger Wepf is the Director of the Centre for Microscopy and Microanalysis (CMM) and leads the UQ node of Microscopy Australia. His career spans decades at the forefront of high-resolution imaging in electron microscopy, structural biology, and advanced analytical workflows of material science, with previous leadership roles at ETH Zurich and in the EMBL Heidelberg Physical Instrumentation R&D group. At UQ, he has driven the development of multimodal and correlative microscopy approaches, integrating light microscopy, electron microscopy, X-ray fluorescence microscopy, imaging mass spectrometry and advanced data management. Professor Wepf has been instrumental in developing cryo sample preparation tools and correlative workflows that are now used globally and marketed by well-known suppliers in the electron microscopy field. He also established with NewSpec/Hitachi the Inspire outreach program in QLD, delivering a desktop SEM to local schools to train the next generation of curious scientific minds. He has played a key role in building NRICH’s capabilities for large-scale mineral, biological, and materials characterisation, combining state-of-the-art instrumentation with innovative workflows and data integration pipelines that adhere to FAIR/FAIR-CARE principles.

Professor Wepf’s research bridges academic and industry needs, from localisation of biomolecules at the nanoscale to the characterisation of beam- and environment-sensitive materials critical for quantum technologies, catalysis, and battery development. His leadership has fostered partnerships with global instrumentation companies and industry collaborators to co-develop new imaging hardware, detectors, and workflows. He is a founding member of two scientific journals, most recently Methods in Microscopy with De Gruyter, a community-focused open access journal advancing method development and dissemination in the microscopy field. He has also initiated strategic programs such as the Pitschi data repository and multimodal segmentation projects, enabling the Australian research community to manage, share, and analyse large datasets at scale. Professor Wepf’s commitment to mentoring and training ensures that the next generation of scientists are skilled in applying advanced microscopy to solve problems in energy, health, minerals, and materials science. He also established with NewSpec/ Hitachi the Inpsire outreach program in QLD delivering a desktop SEM to local schools to train next generation of curious scientific minds

Taylor Dick is an Associate Professor in The School of Biomedical Sciences and Director of the Neuromuscular Biomechanics Laboratory within the School of Biomedical Sciences. She leads a highly interdisciplinary research program at the nexus of biomechanics, bio-inspired assistive devices, and neuromuscular physiology. Using a combination of experimental and modelling tools, her research answers fundamental questions about how movement underpins evolution, health, and disease.

Upon completing her PhD in 2016 (Simon Fraser University, Canada), in collaboration with Harvard’s Concord Field Station, she undertook post-doctoral training in biomedical engineering (University of North Carolina, 2016-17) where she combined her expertise in biomechanics and muscle physiology to discover how bio-robotic devices influence locomotor energetics and the neuromechanical mechanisms that enable stability during unexpected perturbations. This has since provided inspiration for the optimization of bio-robotic assistive devices, in response to the behaviour of their physiological targets. In 2017, she was appointed a research and teaching academic at the University of Queensland (UQ) where she has developed a uniquely integrative and multi-disciplinary approach to studying locomotion and neuromuscular function with applications across discovery and translation. Her research program integrates musculoskeletal anatomy, neural control, and biomechanics to understand the diverse movements of humans and animals. By combining high-resolution and innovative experimental paradigms with modelling and simulation techniques, her team, a rich blend of biomechanists, physiologists, mathematicians, engineers, and computer scientists, investigates the complex interactions between biological systems that enable the remarkable diversity in human and animal movement.

Taylor has established herself internationally as an emerging leader in biomechanics research. This reputation is supported by prestigious awards, invited talks and review papers, and media attention. Her research has been funded through competitive grant schemes and industry partnerships, with total research support exceeding $3.6 million. Her contributions to research and mentorship have been recognized with a 2024 Queensland Tall Poppy Award, 2024 International Union of Physiologists Junior Faculty Award; 2024 International Society of Electrophysiology and Kinesiology Kevin P. Granata Award, and the 2021 International Society of Biomechanics Jaquelin Perry Emerging Scientist Award. Taylor has been nominated (2020 and 2021) for the Faculty of Medicine Rising Star of the Year Award. Taylor is an elected Executive Council member of the International Society of Biomechanics (ISB) and the elected Chairperson of the Comparative Neuromuscular Biomechanics Technical group. She is a passionate promotor of STEM for young girls—having co-developed the led a government-funded nationwide program to boost girls’ engagement in STEM, BRInC https://www.canberra.edu.au/about-uc/faculties/health/brinc

She currently advises 12 PhD candidates, 1 Master’s student, and 5 Honours students. She has successfully advised 5 PhD, 2 Master’s and 9 Honours students to completion since commencing her faculty position at UQ in 2017.

For more information about her program of research, visit her lab website: https://biomedical-sciences.uq.edu.au/research/groups/neuromuscular-biomechanics

Associate Professor Mitchell Stark is a molecular biologist and Group Leader (Principal Research Fellow) from the Dermatology Research Centre (DRC) based at the Frazer Institute, The University of Queensland (UQ; Brisbane, Australia). He leads the pre-melanoma genomics program at the Frazer Institute and his group has extensive experience in the use of next-generation sequencing, spatial transcriptomics, bioinformatics, and functional analysis for a variety of applications. The Stark Lab’s major research streams include: miRNA biomarkers for melanoma progression and the development a Genomics Atlas of pre-skin cancer lesions, which aim to provide to greater understand melanoma progression from naevi and early invasive melanoma, with a goal to discover novel predictive biomarkers that offer increased precision to the clinical management of patients.

He has been engaged in melanoma and nevus research for 25+ years (with 9-years post PhD) and over this time he has been working towards understanding the aetiology of melanoma, studying gene dysregulation during tumor progression along with predisposition to melanoma in families with high risk for melanoma development. Dr Stark has a total of 97 career publications including 1 book chapter, 83 journal articles, 12 reviews/perspectives and 1 patent (WO/2016/029260) which have been cited a total of 7,053/10,208 times (Scopus/Google; h-index: 38/42) and has published in respected journals such as Nature, Nature Genetics, Cancer Research, and Journal of Investigative Dermatology. He has been awarded a career total of ~$10M as an Investigator (PI/co-PI/co-Investigator) including a prestigious NHMRC Peter Doherty Early Career Research Fellowship (2016-2019) and a recent NHMRC Investigator award (2025-2029), along with several research grants as Principal Investigator (e.g., Advance QLD Innovation Partnership, Department of Defence CDMRP – Melanoma Research Program).

Megan O’Mara is a Professor and Group Leader at the Australian Institute for Bioengineering and Nanotechnology (AIBN), UQ. Her group uses multiscale modelling techniques to understand how changes in the biochemical environment of the cell membranes alters membrane properties and modulates the function of membrane proteins. She has research interests in multidrug resistance, computational drug design and delivery, biopolymers, and personalized medicine. Megan completed her PhD in biophysics at the Australian National University in 2005 before moving to the University of Calgary, Canada, to take up a Canadian Institutes of Health Research Postdoctoral Fellowship. In 2009, she returned to Australia to join University of Queensland’s School of Chemistry and Molecular Biosciences as a UQ Postdoctoral Fellow, before commencing an ARC DECRA in 2012 where she continued her computational work on membrane protein dynamics. In 2015, Megan joined the Research School of Chemistry, Australian National University in 2015 as Rita Cornforth Fellow and Senior Lecturer. In 2019 she was promoted to Associate Professor and was Associate Director (Education) of the Research School of Chemistry ANU in 2019-2021. In April 2022 she relocated to AIBN.

Markus graduated from the Vienna University of Technology in Technical Physics in 1995 and was awarded his Doctorate in 1999 after which he worked as postdoctoral research associate and then Assistant Professor at the Department of Radiodiagnostics, Medical University Vienna (AT). From 2004 he worked as Senior Researcher at the Donders Institute for Brain, Cognition and Behaviour (Radboud University Nijmegen, NL) and at the Erwin L. Hahn Institute for Magnetic Resonance Imaging (University Essen-Duisburg, DE). In 2014 he relocated to the University of Queensland to head the Ultra-high Field Human MR Research program at the Centre for Advanced Imaging and was awarded an ARC Future Fellowship. In 2019 he joined the School of Information Technology and Electrical Engineering as Full Professor Biomedical Engineering working on MR Physics and Medical Imaging. He served as Imaging, Sensing and Biomedical Engineering Discipline lead until 2020 when he took up service roles as Deputy Head of School – Research, Director for the National Imaging Facility – Queensland Node, as well as a member of the ARC College of Experts.

Jin Zou is an Emeritus Professor in the School of Mechanical and Mining Engineering (Materials Engineering) and an affiliated Professor in the Centre for Microscopy and Microanalysis at the University of Queensland, Australia. Professor Zou earned his Master’s degree from the University of Science and Technology, Beijing in 1985 and PhD from the University of Sydney in 1994. Through his postgraduate studies, Professor Zou was trained as a transmission electron microscopist. After his PhD, he worked in the Australian Key Centre for Microscopy and Microanalysis at the University of Sydney for 10 years with several Australian fellowships, including an Australian Postdoctoral fellowship and a Queen Elizabeth II fellowship. Professor Zou moved to UQ to take up a teaching-and-research position from July 2003. In 2009, Professor Zou won an inaugural ARC Future Fellowship (FT3 - Professor level). In 2021, Professor Zou became an Emeritus Professor.

Over the years, Professor Zou's research interest has been focused on the understanding of the evolution of advanced, smart and nano-scaled materials and the understanding of fundamental properties of these materials through detailed correlating their fabrication and demonstrated properties with their morphological, structural and chemical characteristics (determined by electron microscopy); and on the formation of high-performance functional nanomaterials and their advanced applications, particular in the fields of energy and environmental protection. So far, Professor Zou published over 750 SCI articles with most of them published in leading international journals, which have attracted over 41,000 citations and led to an H-index of 101.

Xiuwen Zhou received her PhD in 2014 from the University of Geneva (Switzerland), where she worked with Prof Tomasz A. Wesolowski, who is recognized as the co-inventor of Frozen-Density Embedding Theory (FDET) alongside Nobel laureate Prof. Arieh Warshel (co-winner of the 2013 Nobel Prize in Chemistry). Then she moved to the University of Queensland (UQ) as a visiting scholar, supported by two awarded fellowships, i.e., a Swiss National Science Foundation (SNSF) Early Postdoc Mobility Fellowship (2015) and an Australian-APEC Women in Research Fellowship (2016). She then took up a UQ Development Fellowship in 2017, working as a teaching and research fellow at UQ School of Mathematics and Physics. Later, she was awarded an Australian Research Council Discovery Early Career Researcher Award (ARC DECRA) commencing in 2019.

Dr David Smerdon is a Senior Lecturer (equivalent to Assistant Professor) in the School of Economics. He primarily works in behavioral and development economics. His research involves theory and modelling, experiments in the lab and field, and microeconometric analysis in order to investigate topics at the intersection of these fields.

David earned his PhD from the Tinbergen Institute and the University of Amsterdam (UvA) as a General Sir John Monash scholar, and afterwards worked as a PODER fellow at Bocconi University in Milan. His research often involves collaboration with non-academic partners, ranging from aid agencies and NGOs like US AID and Save the Children, to tech companies like Chess.com.

Prior to his academic career, David spent three years working for the Australian Department of Treasury as a policy analyst. David is also a chess Grandmaster and has represented Australia at seven chess Olympiads. Combining his passions, David occasionally conducts niche research in chess economics on topics such as gender inequality, cheating, and the life cycle of cognitive performance, supported by organisations such as the World Chess Federation (FIDE) and Chessable.

I work with manipulating and measuring the spatial/polarisation and spectral/temporal properties of light, mostly as it travels through multimode fibre. This has applications in optical telecommunications, biomedical imaging, quantum mechanics and astronomical instrumentation but is also just a lot of fun.

There's a good chance that at any point in time I'm using a spatial light modulator in some way to acheive these goals.

2012-2014 : Postdoctoral researcher, The University of Sydney, Australia

2009-2012 : Doctor of Philosophy, University of Cambridge, UK

2008-2009 : Codan Limited, Microwave Design Engineer, The University of Queensland, Australia

2007 : Master of Engineering (ME), The University of Queensland, Australia

2002-2006 : Bachelor of Engineering (BE), Bachelor of Science (BSc), The University of Queensland, Australia

Yadan Luo is currently a Senior Lecturer with Data Science Discipline, School of EECS, The University of Queensland. She received her BSc degree from University of Electronic Science and Technology of China, and her PhD in Computer Science from School of ITEE, The University of Queensland in 2017 and 2021 respectively. Her research interests mainly include machine learning from imperfect data, by leveraging domain adaptation, domain generalization, few-/zero-shot learning and active learning to empower the applications in computer vision and multimedia data analysis areas. Her work of image analysis published at Pattern Recognition Journal in 2018 is placed in the top 1% of the academic field of Engineering and is recognised as a Highly Cited Paper by Web of Science. Yadan was awarded the Google PhD Fellowship 2020 as a recognition of her research in the machine learning area and her strong potential of influencing the future of technology. She was also a recipient of ICT Young Achiever Award, Women in Technology (WiT.org) 2018 and a few other research awards.

[For Prospective Students] I am continuously looking for highly-motivated Ph.D. students to work on machine learning & multimedia data analysis, specifically for addressing domain shifts and generalisation issues. Please send me your CV if interested.

I am a Senior Research Fellow in Cosmology based in the School of Mathematics and Physics. I work on making maps of the positions and motions of millions of galaxies in our Universe to uncover how it has evolved since the Big Bang. Current observations suggest 95% of our Universe consists of ellusive Dark Matter and Dark Energy; we can detect these by the influence they have on the light from galaxies, stars and that permeates the background Universe itself, but they don't emit light themselves and we have no idea yet what they are. My research seeks to uncover these using the largest galaxy surveys in the world.

I have been involved in planning, carrying out, and analysing a large number of these surveys. I currently working groups in the American-led Dark Energy Spectroscopic Instrument (DESI) project, the WALLABY survey based in Western Australia, and the 4MOST Hemisphere Survey (4HS) which will be carried out from Chile. Combined, these will produce the most detailed maps of galaxy positions and motions ever created --- over 40,000,000 unique galaxies!

My personal research makes use of state-of-the art computing techniques to simulate the distributions of these galaxies, their properties, and how fast they are moving. I then analyse these distributions using different statistical techniques and compare to the real data. The properties of Dark Matter and Dark Energy and all the other things that make up our Universe can then be extracted by modelling these statistics with theoretical models, or looking for discrepancies between the simulations and the data. My hope is that by doing so, we are currently on the cusp of uncovering something fundamental about how the Universe came to be the way it is today, and what will happen to it in the future.

Academic Background

• Undergraduate: MPhys 1st Class Honours - University of Sussex, 2008-2012
• Postgraduate: PhD - University of Portmouth, 2012-2016
• Research Associate - University of Western Australia, 2015-2019
• Research Fellow in Cosmology - University of Queensland, 2019-

Dr Moni holds a PhD in Artificial Intelligence & Data Science in 2014 from the University of Cambridge, UK followed by postdoctoral training at the University of New South Wales, University of Sydney Vice-chancellor fellowship, and Senior Data Scientist at the University of Oxford. Dr Moni then joined UQ in 2021. He also worked as an assistant professor and lecturer in two universities (PUST and JKKNIU) from 2007 to 2011. He is an Artificial Intelligence, Computer Vision & Machine learning, Digital Health Data Science, Health Informatics and Bioinformatics researcher developing interpretable and clinical applicable machine learning and deep learning models to increase the performance and transparency of AI-based automated decision-making systems.

His research interests include quantifying and extracting actionable knowledge from data to solve real-world problems and giving humans explainable AI models through feature visualisation and attribution methods. He has applied these techniques to various multi-disciplinary applications such as medical imaging including stroke MRI/fMRI imaging, real-time cancer imaging. He led and managed significant research programs in developing machine-learning, deep-learning and translational data science models, and software tools to aid the diagnosis and prediction of disease outcomes, particularly for hard-to-manage complex and chronic diseases. His research interest also includes developing Data Science, machine learning and deep learning algorithms, models and software tools utilising different types of data, especially medical images, neuroimaging (MRI, fMRI, Ultrasound, X-Ray), EEG, ECG, Bioinformatics, and secondary usage of routinely collected data.

• I am currently recruiting graduate students. Check out Available Projects for details. Open to both Domestic and International students.

Dr Botella's research interests are in genetic engineering, molecular biology and signal transduction in plants.

Dr. Jimmy Botella is Professor of Plant Biotechnology at the University of Queensland. He obtained a degree in Quantum Chemistry from the University of Madrid (Spain) and a PhD in Biochemistry from the University of Malaga (Spain). After postdoctoral positions at Michigan State University and Pennsylvania State University he joined the University of Queensland in 1995. At UQ he founded the Plant Genetic Engineering Laboratory (PGEL) specialising in the fields of tropical and subtropical agricultural biotechnology for almost 15 years. J. Botella has eleven international patents in the field of Plant Biotechnology and is a founding member of two biotechnology companies (Coridon Ltd. and Origo Biotech).

Dr Botella is a member of the Plant Molecular Biology and Biotechnology research group.

Some highlights of the Plant Genetic Engineering Laboratory’s research:

• Production and field trial of the world’s first genetically modified pineapples with genetic constructs to control flowering time. These pineapples will allow farmer control over harvesting times.
• Development of a new technology to confer protection against nematode infestation.
• Discovery of a gene that can confer resistance to the devastating fungus Fusarium oxysporum in plants.
• Development of a new technology to confer protection against pathogenic fungi in plants.

Research interests

Dr. Botella’s research has two major foci: basic cell biology and applied biotechnology. In cell biology he is interested in studying the function of the Heterotrimeric G proteins in plants. This family of proteins is extremely important in humans but their role in pant systems is still largely unknown. Dr. Botella’s research has strongly contributed to the current body of knowledge available in plants with critical contributions such as the discovery and characterization of the first plant gamma subunits and the establishment of these subunits as the critical element conferring function specificity to all plant G proteins. Dr. Botella’s team has also discovered the important role that these proteins play in defense against pathogens. New and unpublished data has now revealed that G proteins are important yield enhancing factors in crops such as rice. Another research interest resides in the communication between plants and insects. There is plenty of knowledge of how important smell, volatiles emitted by the plant, is for foraging insects in order to determine their host preferences. Nevertheless, most of the available studies have been performed using synthetic chemicals in artificial experimental settings. Dr. Botella’s team and collaborators have genetically engineered plants to produce different volatile mixes in the flowers in order to perform in vivo behavioral studies in insects.

Biotechnology research at the Plant Genetic Engineering Laboratory mostly arises from discoveries made in basic research. The PGEL focuses in tropical and subtropical crops. These crops have attracted little attention in terms of biotechnology but are essential sources of food and energy for a large part of the world’s population, especially in Asia and the Indian subcontinent. The PGEL has developed a number of platform technologies that can be applied to multiple crops in order to confer resistance to pathogens, modify plant architecture and control flowering time.

Current research projects include:

• Plant heterotrimeric G proteins: New roles in defence, stomatal control and ABA perception.
• Putting smells into context: using in vivo technologies to understand plant-insect odour communication.
• Use of host-derived RNA interference technology to control plant pathogens (especially pathogenic fungi and nematodes).
• Control of Fusarium wilt disease.
• Genetic improvement of grain crops.
• Genetic engineering research projects

I completed my PhD at the Australian National University in 2015 working on modelling and simulation of ion specific effects working with Drew Parsons and Barry Ninham. I then completed postdoctoral research at the Pacific Northwest National Laboratory in Washington State working with Christopher Mundy and Gregory Schenter on quantum mechanical molecular dynamics simulation and modelling of electrolyte solution before coming to the University of Queensland to work on electrochemcial enery storage. I am currently working on my DECRA project on improving the prediction of electrolyte solution properties for improved electrochemical energy storage.

​Associate Professor Blakey is a group leader at the Australian Institute for Bioengineering and Nanotechnology and the Centre for Advanced Imaging. During his appointment at UQ he has been a recipient of a Vice Chancellor’s Research and Teaching Fellowship, an ARC Future Fellowship, a Linkage Projects International Fellowship, and a Queensland Government Smart State Fellowship. Prior to joining UQ he worked at Polymerat, a materials biotechnology startup company now listed on the ASX as AnteoTech.

Professor Guido Zuccon is a Professorial Research Fellow at The University of Queensland, Electrical Engineering and Computer Science School, the AI DIrector for the Queensland Digital Health Centre (QDHeC), an Affiliate Professor at the UQ Centre for Health Services Research, Faculty of Medicine, and an Honorary Reader at Strathclyde University (UK). He leads the Information Engineering Lab (ielab), a research team working in Information Retrieval and Health Data Science. He was an ARC DECRA Fellow (2018-2020).

Guido's main research interests are Information Retrieval, Health Search, Formal Models of Search and Search Interaction, and Health Data Science. He has successfully attracted funding from the ARC via an ARC Discovery Early Career Research Award Fellowship and an ARC Discoverty Project. His research has also been funded by Google (Google Research Awards program), Grain Research and Development Corporation (GRDC), Microsoft (Microsoft Azure for Research Award), the CSIRO (research gifts and PhD Students Top-up scholarships), the Australian Academy of Science (FASIC program), the European Science Foundation, and Neusoft Corporation.

Guido has published more than 100 peer-reviewed research articles at conferences and in journals, in information retrieval and health informatics; of these more than 30 are ranked in the top 10% of his filed (field weighted average) and more than 10 are ranked in the top 1%. He has won best papers award at AIRS 2017 (“Automatic Query Generation from Legal Texts for Case Law Retrieval”), CLEF 2016 (“Assessors agreement: A case study across assessor type, payment levels, query variations and relevance dimensions”), ALTA 2015 (“Analysis of Word Embeddings and Sequence Features for Clinical Information Extraction”), and ECIR 2012 (“Top-k retrieval using facility location analysis”). His research on people using search engines to seek health advice on the web has been widely disseminated by the media (190+ national and international newspaper articles, 10+ TV and radio interviews in 2015; see the media page coverage for that project). Guido is the Consumer Health Search task leader for the CLEF eHealth Evaluation Lab, since 2014. He is one of the TREC 2019 Decision Track organisers: this is an international evaluation effort in Information Retrieval that aims to investigate how people use search engines to make decisions (with a focus in 2019 on consumer health search). Guido has provided scientific tutorials to other researchers in his field at ACM SIGIR 2015 and 2018, ACM CIKM 2015, ACM ICTIR 2016, RUSSIR 2018, WSDM 2019.

Guido has reviewed for top journals and conferences in his field, including ACM TOIS, FnTIR, JASIST, IRJ, ACM TIST, ACM TWEB, IP&M, ACM SIGIR,ACM CIKM, ACM ICTIR, ACM WSDM, WWW, ECIR, ACM SIG-PODS. He was awarded the Best Reviewer Award at ECIR 2014. He has served as general chair, program chair, workshop chair and publicity chair for conferences in his research field, including ADCS (either PC Chair or General Chair in 2013, 2014, 2017), AIRS 2015 (General Chair), ECIR 2015 (Workshop Chair) and WSDM 2019 (publicity chair). Dr Zuccon is the Information co-Director for ACM SIGIR and was one of the recognised IR leaders invited to participate to the 3rd Strategic Workshop in Information Retrieval (SWIRL III, 2018).

Before joining the University of Queensland, Guido was a Lecturer (2014-2017) and Senior Lecturer (2017-2018) at the Queensland University of Technology, Australia, and a Post Doctoral Research Fellow at the Australian E-Health Research Centre (AEHRC), CSIRO (2011-2014), Australia. He received a Ph.D. in Computer Science at the University of Glasgow, UK (2012), focusing on Formal Models of Information Retrieval based on Quantum Theory, and a M.Comp.Eng. summa cum laude at the University of Padova, Italy (2007).

I am a Professor Emeritus in Sports Physiotherapy in the School of Health and Rehabilitation Sciences where I am the Director of the Master of Physiotherapy (Musculoskeletal and Sports Physiotherapy Majors) and co-Director of the Sports Injury Rehabilitation and Prevention for Health Research unit. My research is mainly focussed on non-surgical management of persistent musculoskeletal problems like tendon related pain/disability (tendinopathy) and knee cap pain (patellofemoral pain). I also delve into the underlying mechanisms of these conditions and other common sporting injuries (e.g., ankle sprains) – a leading cause of ankle osteoarthritis.

Since gaining my PhD in 2000, I have been awarded over $30million in competitive research funding as a chief investigator to study these conditions – 5 NHMRC project grants, 2 NHMRC CRE, 2 NHMRC program grants, 2 NHMRC MRFF grants and an ARC Linkage grant. I have also conducted over half a million dollars of commercially sponsored research.

I have authored 2 books, 26 book chapters and over 382 peer reviewed publications (h-index 68). My top tendinopathy papers are cited over 10 times more than average for the field – most are published in the top sports/general medicine and physiotherapy journals . I have 2 highly cited papers – in the top 1% of the academic field of Clinical Medicine 2022. I have presented my work world wide in over 300 workshops, seminars and keynote presentations.

I enjoy my role in mentoring early/mid career academics and supervising researh higher degree students – having supervised 40 PhD and 2 MPhil candidates to completion. In this capacity I lead the physiotherapy research higher degree seminar series where our students engage in presenting their work and hearing from top international researchers on a range of relevant topics. One reason why my work was recently recognised by the school award for research mentoring.