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Artem Pulemotov holds a Bachelor's degree from Kyiv University and a PhD from Cornell University. His research is primarily in the field of geometric analysis. He had been a Dickson Instructor at the University of Chicago before joining the School of Mathematics and Physics at UQ as a lecturer in 2012.

I received my Bachelor's in Biology (2001) from Yarmouk University in Jordan, followed by postgraduate degrees from the University of Houston in Houston-Texas (2002-2007). My studies are integrative in nature, joining the best of both the Neuroscience world and Circadian Biology (the study of biological clocks). In the laboratory of Prof. Arnold Eskin, I investigated how processes as complex as learning and memory are modulated by biological clocks i.e. the circadian (about 24 hours) system, using Aplysia californica as the experimental model. After completing my Master's in Science in 2005, my research focused on the mechanism by which biological clocks modulate learning and memory. This work was performed in the laboratories of Prof. Gregg Cahill and Prof. Greg Roman, experts in chronobiology and behavioral neuroscience, respectively. Using Zebrafish as a model system, I investigated the role of melatonin, a night-time restricted hormonal signal, in modulating long-term memory consolidation. My findings, published in Science in 2007, shows that the circadian system via the cyclic night-time confined synthesis/release of melatonin “the hormone of darkness” functions as a modulator, shaping daily variations in the efficiency by which memories are processed. After receiving my Ph.D. in 2007, I joined as a postdoctoral fellow the laboratory of the pharmacologist and melatonin researcher Prof. Margarita Dubocovich. My postdoctoral work engaged in elucidating the role of melatonin in circadian physiology and pharmacology during development and ageing in rodents (Mus musculus) and non-human primates (Macaca mulatta) at the Feinberg School of Medicine (Northwestern University-Chicago) and the State University of New York (SUNY). From 2010-2015, I held a teaching/research position in the Dr. Senckenbergische Anatomy and the Dept. of Neurology at the Goethe University in Frankfurt-Germany. During this time, I was involved in teaching gross human anatomy while continuing my endeavor in understanding the mechanistics involved in shaping memory processes (acquisition, consolidation and retrieval) by the circadian system.

Stephen is currently a Postdoctoral Research Fellow in the Bernhardt group at the University of Queensland. His current research is focused on the theory of nonequilibrium statistical mechanics and molecular dynamics.

Stephen completed a double degree in electrical engineering and physics at James Cook University, followed by a PhD in physics, also at James Cook University, under the supervision of Prof. Ronald White and Dr Bronson Philippa, as well as the University of Queensland's Prof. Paul Burn and Prof. Alan Mark. His PhD focused on using 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 was appointed Associate Professor of Medicine in Clinical Informatics at UQ and 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 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 $30M 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. Currently, he is an Amplify Fellow at UQ.

Dr Tartaglino-Mazzucchelli's obtained his PhD at the University of Milano Bicocca in November 2006. After that, and before joining UQ, he has 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 2.5 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.

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.

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.

Dr Zhenjiang You is a Senior Lecturer within the School of Chemical Engineering. He holds a PhD in Fluid Mechanics. He conducts research on mathematical modelling, numerical simulation and experimental study of flows in porous media, and their applications in petroleum/chemical/mechanical/mining/civil engineering, energy, environment and water resources. He develops new theories and models for colloidal/suspension transport in porous media, innovative technologies for enhanced gas/oil production, and applicable tools for reservoir engineering, production engineering and geothermal industry. He has received research funding support from ARC, NERA, DMITRE, ARENA and a range of Australian and international companies. He collaborates with researchers in Australia, Germany, Denmark, the Netherlands, China, Russia, USA, Brazil and Iran.

His teaching contributions include Reservoir Engineering, Well Test Analysis, Reservoir Simulation, Field Design Project, Mathematical Modelling and Fluid Mechanics for Petroleum Engineers, Formation Damage, Enhanced Oil and Gas Recovery, Unconventional Resources and Recovery, etc.

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.