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Carolyn is a theoretical physicist studying quantum information and quantum foundations. She grew up in central Queensland and holds bachelor’s degrees in physics (UQ) and applied linguistics (Griffith University). She completed her PhD in physics at the University of Queensland.

Her research is focused on physics at the interface between quantum mechanics, general relativity and thermodynamics, quantum machine learning, and the applications of both to quantum information theory and quantum computing. She is also broadly interested in artificial intelligence, and cross-disciplinary research combining physics and linguistics.

Carolyn was awarded a Deborah Jin Research Fellowship by the ARC Centre of Excellence for Engineered Quantum Systems (EQUS) in 2022.

Dr Joanne De Faveri is a Senior Research Fellow in Statistics with QAAFI at The University of Queensland. Dr De Faveri’s research is based on developing new improved statistical and hybrid (integrated statistical / machine learning) methods to deliver significant genetic gains for plant breeding and pre-breeding programs. Her primary interests lie in spatio-temporal modelling of longitudinal data and the integration of high throughput phenotyping (HTP) (from sensors, hyperspectral, aerial images), genomic and environmental information for improved variety predictions.

Prior to joining UQ Dr De Faveri worked with CSIRO as part of SAGI-North, the Statistics for the Australian Grains Industry project, where she researched and applied statistical methods to grains research projects, in particular focussing on methods for High Throughput Phenomics. She also has over 20 years’ experience as a Biometrician with the Department of Agriculture & Fisheries (DAF), researching and applying statistical methods and training staff across a wide range of agricultural research projects in field crops, horticulture, beef, dairy, fisheries, aquaculture, and in particular, horticulture breeding programs.

Dr De Faveri has been invited to speak at National and International conferences on statistical methods for incorporating HTP data in variety trials and has developed national and international collaborations with colleagues at CSIRO, University of Queensland, University of Adelaide, Dept Agriculture & Fisheries, Wageningen University and CIMMYT.

Chris O’Donnell obtained his PhD from the University of Sydney. He is an Associate Editor of the Journal of Productivity Analysis, an Associate Editor of Empirical Economics, and a Distinguished Fellow of the Australian Agricultural and Resource Economics Society. His current research is focused on economic and statistical methods for measuring and explaining productivity and efficiency change. He has authored or co-authored three books on this topic. His work has been published in leading economics and econometrics journals, including the American Journal of Agricultural Economics, the Journal of Econometrics, the Journal of Applied Econometrics, Econometric Reviews and the European Journal of Operational Research. He has provided in-house training and/or been a consultant for organisations including the World Bank, the Asian Productivity Organisation, the International Rice Research Institute, the Australian Energy Regulator, the New South Wales Independent Pricing and Regulatory Tribunal, and the Australian Independent Hospital Pricing Authority.

I completed my PhD, supervised by Dr. Jan Engelstaedter, investigating host shift dynamics of parasites within a host clade. In this project I am was interested in understanding the long-term dynamics and consequences of host-shift dynamics, while taking into account the evolutionary relationships between host species. I was interested in identifying predictable patterns in the distribution of pathogens using statistical and mathematical modeling.

Currently, I am a postdoctoral researcher working at the University of Queensland under Dr. Christine Beveridge. I will be creating computational models of plant hormone signalling in order to make predictions on the phenotypic outcomes of plant species.

I bring industry and academic experience in working on quantum error mitigation, quantum error correction, and quantum control theory to enable quantum computing demonstrations on near-term hardware. I am currently investigating the feasibility of combining error mitigation and error correction techniques with quantum machine learning algorithms at the University of Queensland. With Sally Shrapnel and partnering with the Queensland Digital Health Center (QDHeC), we are analysing the operational robustness of quantum machine learning, with an eye to digital health use-case discovery and testing. Prior to this, I worked on execution of dynamic circuits for error mitigation and quantum error correction applications at IBM Quantum (US) for three years. My work resulted in 3 patents and being recognised as one of IBM Research’s Top Technical Contributors in 2023 globally. I have also designed classical algorithms for noise filtering and prediction for trapped ions at the Quantum Control Laboratory in the University of Sydney, winning ARC EQUS inaugural Director’s Medal in Australia in 2019.

Gloria is a lecturer and an Advance Queensland Industry Research Fellow at The University of Queensland’s School of Chemical Engineering, where She uses novel multiscale simulation techniques, combining molecular simulations with macroscopic physics-based modeling, to solve energy and environmental problems. She works at the interface between applied mathematics and engineering to build models to explore and improve understanding of phenomena driving behaviour of complex systems as well as to develop computational methods to improve simulation tools for multiple applications, ranging from chemical and biomedical engineering to ecology.

Dr Peter Baker is an Honorary Associate Professor at the Queensland Alliance for Agriculture and Food Innovation

From 2021-2023, Peter was an Honorary Senior Lecturer at the School of Public Health, University of Queensland. For twelve years until the end of 2020, he was a Senior Lecturer in Biostatistics at the School of Public Health and a senior statistical collaborator, advisor and consultant to several research projects in the Faculty of Medicine, School of Public Health.

With fourty years experience as a statistical consultant and researcher, Peter has a passion for biometrics in agricultural research and biostatistics applied to public health and medical research. He also champions reproducible research and reporting and to this end has developed R and Make software to aid the workflow of data analysts in any field. As a statistical consultant and collaborator, he has contributed to many agricultural, genetic, public health and medical research projects. His contribution has ranged from advice on standard statistical approaches to the application of novel methods to improve statistical analysis or the development of new statistical methodology to fill a gap in the knowledge.

Peter's current research interests:

• efficient statistical computing using R, Make, Git and related software for the workflow of data analysis,
• reproducible research and reporting using R, Markdown, Quarto and Sweave,
• tailoring R functions and developing bespoke packages for specific statistical analyses, and
• applied statistlcal research in novel methods for epidemiological and medial research, including
  • graphical models for multivariate data in epidemiology,
  • statistical methods for modelling trajectories of alcohol consumption in youths,
  • propensity score analysis to adjust for selection bias in observational studies, and
  • Bayesian methods for epidemiological and medical MCMC studies.

Dr Baker is an Accredited Statistician (ASTAT) with the Statistical Society of Australia (see SSAI_Accreditation)

Dr Evgenii Nekhoroshev is a Postdoctoral Research Fellow at the School of Chemical Engineering and a member of the Pyrometallurgy Innovation Centre led by Prof. Evgueni Jak.

He graduated with a Master in Chemistry (chemical thermodynamics) from Lomonosov's Moscow State University, Deparment of Chemistry in 2012. His Master's Thesis was "Thermodynamic optimization of the NaOH-Al(OH)3-Na2SiO3-H2O system for applications in Bayer's process of bauxite treatment" as part of a bigger project initiated in collaboration with Rusal company aimed at utilisation/valorisation of red mud residues accumulated during the production of aluminium oxide from bauxite ores.

In 2019, he completed a PhD in Metallurgical Engineering at Ecole Polytechnique of Montreal, Canada within The Centre For Research in Computational Thermodynamics (CRCT), where he acquired expertise in FactSage software, multicomponent database development, and was included in the list of official collaborators of FactSage. His PhD thesis was "Thermodynamic optimization of the Na2O-K2O-Al2O3-CaO-MgO-B2O3-SiO2 system" sponsored by Glass Consortium including Corning and SCHOTT glass producers. The purpose of the database he developed was to assist the industry in designing new glasses with special properties: chemically hardened glasses (smartphones), technical glasses with high thermal and chemical resilience (boron-containing glasses), chemically inert glasses, etc.

Short after receiving his PhD, Dr Evgenii Nekhoroshev accepted a position at The University of Queensland as part of the Pyrometallurgy Innovation Centre's team where he has an official title of Theme Leader in Thermodynamic Computations, combining his broad expertise in metallurgy, chemical engineering, applied mathematics, and programming.

Dr Evgenii Nekhoroshev has always been passionate about formalisation and automation of big research tasks. He started working on developing an automated solver for thermodynamic optimisation during his PhD thesis which was improved and finalised using the ideas of Prof. Evgueni Jak about real-time derivative matrix optimization and sensitivity analysis applicable to large multicomponent systems. His contribution to the Centre allowed to make transition to a continuous optimization approach when experimental and modelling streams of work in the Centre are efficiently combined together. It allows to include the most recent experimental datasets into a self-consistent database update with minimal time delays.

Professor Stace completed his PhD at the Cavendish Lab, University of Cambridge in the UK on quantum computing, followed by postdoctoral research at the Department of Applied Mathematics and Theoretical Physics, also at Cambridge, and Queens' College, Cambridge. Since 2006, he has held various ARC research fellowships, most recently a Future Fellowship (2015-2019).

His research topics include device physics for quantum computing solid-state and atomic systems, quantum error correction, and quantum measurement and precision sensing.

Professor Stace is the Deputy Director of the ARC Centre of Excellence in Engineered Quantum Systems (equs.org).

I am an applied and computational topologist; my research is motivated and inspired by real life problems. My main focus is on understanding how shape influences behaviour, which is a common theme arising in the study of many natural systems. I have done my bachelor and master in Pisa (Italy), and my PhD and first postdoc in Oxford (UK). I then moved to Melbourne for my second postdoc, before starting my position at UQ.

Dr. Travis Mitchell is a Lecturer within the School of Mechanical and Mining Engineering at The University of Queensland (UQ). Travis completed his PhD in multiphase computational fluid dynamics at UQ, as well as a dual degree including a BE(Hons) in mechanical engineering and BSc in Mathematics. During his PhD, he interned at the Helmholtz Institue for Renewable Energy Production in Nuremberg (Germany), presented invited talks at the Warsaw University of Technology, Massachusetts Institutte of Technology, and stayed with collaborators at the University of Pennsylvania. His doctoral research focused on the development of a simulation methodology for capturing liquid-gas interactions, which he applied in the context of resource extraction.

Dr Mitchell's research is focused on the development, implementation, and application of numerical models to study complex fluid flows, with a particular interest in porous media, multiphase, and multiphysics problems. Travis was recognised at the 18th International Conference for Mesoscopic Methods in Engineering and Science with the ICMMES-CSRC Award for his work in multiphase lattice Boltzmann methods. His current research applications include the development of gas diffusion electrodes for CO2 electrolysis, bubble-particle interaction in hydrogen formation for methane pyrolysis, particle propagation in the upper respiratory system, and multiphase transport in fractured media.

Within the School of Mechanical and Mining Engineering, Dr. Mitchell coordinates the second year course on Computational Engineering and Data Analysis (MECH2700) and lectures into Computational Mechanics (MECH3780) and Computational Fluid Dynamics (MECH6480). Travis is an Associate Fellow of the Higher Education Academy and received an EAIT Citation for Excellence in Student Learning in 2023.

Dr Ebinazar Namdas is an Associate Professor in the School of Mathematics and Physics at the University of Queensland. Dr Namdas has a strong international track record in the field of organic optoelectronics materials and device research across several platforms including organic transistors, light emitting transistors, OLEDS, organic lasers, and photo-sensors. He has published more than 110 papers in top international journals including 15 x Advanced Materials; 4 x Nature Communications; 7 x Advanced Functional Materials; 11 x Advanced Optical Materials; Nature Materials; Nature Photonics; Science; 3 x Laser & Photonics Reviews; 2 x JACS; 5 x ACS Photonics and 10 x Applied Physics Letters. Additionally, he has co-authored the first ever academic textbook on semiconducting and metallic polymers with Nobel Laureate Professor Alan Heeger and Professor Serdar Sariciftci. The book, titled Semiconducting and Metallic Polymers was published by Oxford University Press. Currently, Dr Namdas is an Editorial board member of Communications Materials (nature.com).

For more information, visit the AMIO group website.

Len Coote holds the rank of Associate Professor in The University of Queensland Business School. His primary academic contribution is to the study of economic choices, which are ubiquitous in marketing (e.g., consider the decisions to install solar panels, purchase private health insurance, and use toll roads—to name just a few). Together with his academic collaborators, he developed a very general and flexible model for studying decision making and choice. The model integrates the mathematics of Daniel McFadden’s (UC Berkeley) conditional logistic regression and Karl Joreskog’s (Uppsala) linear structural relations models.

Len’s primary teaching interests are in quantitative marketing, which is a precursor to the new discipline of business analytics. In his opinion, today’s business school students need greater “data literacy” and business schools must place greater emphasis on equipping students to succeed in a world of artificial intelligence and big data. The methods of business analytics—data visualisation, machine learning, optimisation methods, predictive analytics, text mining, and web analytics—have much application to solving business and marketing problems. Len is passionate about bringing these methods to a new generation of business school students.

For the past 10 years, Len has performed several valued service roles at the University of Queensland. He served as Acting Dean of the UQ Business School for 1.5 years through to December, 2017. Before that he served as Deputy Dean of the Business School (1.5 years) and Head of the Marketing Discipline (7 years). As Acting Dean, Len was committed to understanding the needs of business and responding to those needs by introducing advanced and innovative programs. The introduction of the Bachelor of Advanced Business (Honours) program reflects this commitment.

Len is an active participant in community service roles. For example, he is the Vice-Chair of the Australian Consortium for Social and Political Research, Inc. ACSPRI is a non-profit consortium of Australian universities. Its mission is to improve the quality of research in the social and behavioural sciences and encourage Australian governments to take an evidence-based approach to policymaking. Before serving in the role of Vice-Chair, he was an instructor on ACSPRI’s summer and winter programs for circa 10 years (teaching courses on structural equations with latent variables).

Jonah is a Lecturer in Entrepreneurship at UQ Business School. His research focuses on understanding the systems and interdependencies between support for entrepreneurial activity, social innovation, and social change, asking broadly “how do societies support the organization of entrepreneurship and in turn ensure its positive impact on society?” onah's research includes longitudinal qualitative studies in the contexts of entrepreneurial ecosystems and the governance of entrepreneurial finance, and practice-based studies around entrepreneurial decision making. His most recent work understanding the potential of a responsible entrepreneurship ideology has been published in Academy of Management Review.

Prior to joining UQ, Jonah completed his PhD in Management Studies at Judge Business School, University of Cambridge. Jonah also holds a Master of Philosophy in Innovation, Strategy and Organisation from the University of Cambridge and undergraduate degrees in Economics (Hons) and Applied Mathematics from the University of Calgary. Jonah has industry experience in financial services as a Product Manager, where he managed technologies for international money movement and personal financial wellness.

Dr Sally Shrapnel is an internationally recognised interdisciplinary scientist whose research spans quantum physics, artificial intelligence, digital medicine, and philosophy. With a unique career trajectory bridging clinical medicine and cutting-edge quantum technologies, Dr Shrapnel is committed to solving foundational and applied problems that cross traditional disciplinary boundaries.

A registered medical practitioner and Fellow of the Royal Australian College of General Practitioners, she brings over two decades of clinical experience in Tasmania, Queensland, and the UK. After earning an MSc in Bioengineering from Imperial College London, she pursued a PhD in Quantum Artificial Intelligence—focusing on quantum causal inference—which launched her second career as a quantum physicist.

Currently, Dr Shrapnel is Associate Professor of Physics at The University of Queensland and Deputy Director of the ARC Centre of Excellence for Engineered Quantum Systems (EQUS). Her research addresses two fundamental questions:

• What does quantum theory reveal about the nature of reality?
• Can quantum resources be harnessed to design faster, more efficient AI algorithms?

These inquiries drive her leading contributions in Quantum Foundations and Quantum Machine Learning, where she develops novel theoretical frameworks and algorithms that aim to unlock the quantum advantage in emerging technologies. As Program Lead for Quantum Technologies for Health at the Queensland Digital Health Centre, Dr Shrapnel is also preparing the state’s healthcare ecosystem for the next technological revolution—bringing quantum tools into real-world applications in health and medicine.

A passionate advocate for interdisciplinary research, Dr Shrapnel continues to publish widely across quantum physics, computer science, digital health, and the philosophy of science. Her work exemplifies the power of rigorous, cross-disciplinary thinking to address some of the most profound and practical challenges of our time.

Dr. Mark Hickman is the TAP Chair and Professor of Transport Engineering within the School of Civil Engineering at the University of Queensland. Prof. Hickman has taught courses and performed research in public transit planning and operations, travel demand modelling, and traffic engineering. His areas of research interest and expertise include public transit planning and operations, urban transportation planning and modelling, and the development of sustainable transport innovations and policies.

Dr Loic Yengo is a Professor of Statistical Genomics at The University of Queensland (UQ) and Group Leader of the Statistical Genomics Laboratory within UQ’s Institute for Molecular Bioscience. He was awarded a prestigious Snow Medical Research Fellowship in 2024 to dramatically advance the use of genomics to prevent chronic disease such as type 2 diabetes, heart disease and Alzheimer’s, with a particular focus on increasing participation of people with diverse ancestries. After completing a PhD in applied mathematics and statistics at the University of Lille (France) in 2014, he joined UQ in 2016 for postdoctoral training in Quantitative and Statistical Genetics. Loic started his own lab in 2020 to investigate the causes and consequences of genetic variation within and between human populations. His group develops and applies novel statistical methods to analyse large volumes of genomic data. Loic’s research has contributed to improving understanding of the genetic and phenotypic consequences of non-random mating (inbreeding and assortative mating) in human populations and has led to identifying novel genetic variants associated with complex traits and diseases. Loic was named among the top 40 rising stars of research by The Australian newspaper in 2021 and received the UQ Foundation research excellence award the same year. Loic is the 2022 recipient of the Ruth Stephens Gani Medal of the Australian Academy of Science recognizing outstanding contributions to research in human genetics, and was named in Nature Medicine’s 2022 Yearbook among 11 early-career researchers “to watch”.

In 2024, he was the recipient of the American Society of Human Genetics Early Career Award and a Snow Medical Research Foundation Fellowship to accelerate the deployment of genomic risk prediction in the clinic and improve the benefit of genomic medicine in all populations.