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Demetris Christodoulou is an Associate Professor in Accounting, Governance and Regulation at the University of Sydney. He holds a BEcon from Piraeus University, an MSc(Fin) from the University of York (UK), and a PhD from Athens University of Economics and Business (AUEB). His research focuses on applying data analytics, econometrics, and visualization techniques to financial analysis, equity valuation, life insurance, and financial advice. He co-directs the PEMA research group, specializing in productivity and performance measurement analytics, and previously led the MEAFA research group (2007–2022). He has collaborated extensively with industry partners including Deloitte and Australian insurers, and developed training programs for over 1,000 executives. His work includes open-source contributions to Stata software and the Graph Workflow platform, alongside $662k in workshop-generated funds supporting academic programs. He has advised multiple PhD students and taught at leading universities globally. Education: BEcon in Economics (Econometrics), Piraeus University MSc in Finance, University of York (UK) PhD in Accounting and Financial Analysis, Athens University of Economics and Business His research interests span financial reporting models, life insurance underwriting strategies, and behavioral finance. Recent projects address dishonesty mitigation in insurance disclosures and the adviser effect on customer disclosures. He has published widely in top journals like the Review of Accounting Studies and Stata Journal , and his work was featured in The Australian for insights on insurance fraud reduction. He maintains international collaborations, including visiting roles at Columbia Business School and the University of Cyprus, and serves on advisory boards for organizations like Behaviour.ai. Publications highlight methodological innovations in econometrics and visualization, with 2025's upcoming Stata Journal paper advancing time-series analysis techniques. His grants include partnerships with industry on longitudinal studies of insured lives, aiming to improve risk modeling and public policy insights.

• Financial Analysis
• Equity Valuation
• Life Insurance
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Scientia Professor Robert Kohn is a distinguished academic at the University of New South Wales, holding a position in the School of Economics within the UNSW Business School. With a career spanning several decades, Professor Kohn has established himself as a leading expert in statistical methodology and econometric modeling. His research has significantly contributed to Bayesian statistics and computational methods for complex data analysis. Professor Kohn's research focuses on advanced statistical methodologies including Bayesian methodology, variable selection and model averaging, nonparametric regression models, time series modeling, multivariate Gaussian and non-Gaussian regression, and Markov chain Monte Carlo simulation algorithms. His work bridges theoretical statistics with practical applications across economics, finance, and cognitive science. His research demonstrates a consistent trajectory toward developing more efficient computational methods for complex statistical models, with recent work emphasizing variational Bayesian methods, particle filtering techniques, and applications to time series analysis. Analysis of his recent publications (2022-2025) reveals a strong focus on advancing computational statistical methods, particularly in Bayesian inference for complex models. His work shows increasing integration of machine learning techniques with traditional statistical methods, especially in handling high-dimensional data and complex time series structures. Professor Kohn has made significant contributions to variational inference methods, particle-based computational techniques, and applications to financial time series and cognitive modeling. Professor Kohn has maintained an exceptionally productive research career with continuous publication output since the 1970s, demonstrating remarkable longevity and adaptability in his research focus as statistical methodologies have evolved. His work shows strong international collaboration, particularly with researchers in Australia, the United States, and Europe, reflecting his standing in the global statistical community.

• Bayesian methodology
• Variable selection and model averaging
• Nonparametric regression models
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Professor Paul A. Raschky is affiliated with the Department of Economics at Monash University , where he also directs the SoDa Labs and co-founded the KASPR Datahaus PTY LTD and IP Observatory . His academic focus spans Political Economy , Environmental Economics , Insurance Economics , and Development Economics , with a specialization in natural hazards and data science applications. Education: PhD (University of Innsbruck, 2008), with a postdoctoral research visit at the Wharton School . Research: Explores intersections of disaster risk , governance , and economic development , leveraging machine learning and big data . Recent Publications: Focus on generative AI productivity , ethnic favoritism , disaster insurance , and conflict economics . Awards: Recipient of the ABDC Award for Innovation and Excellence in Research (2022) and Dean’s Excellence in Research Award (2016) . Projects: Leads initiatives on internet suppression in Myanmar , news media availability , and AI-driven policy insights in South-East Asia and the Pacific. Future Work: Will be on sabbatical in 2025 , likely expanding on AI applications and disaster resilience .

• Political Economy
• Environmental Economics
• Insurance Economics
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Glen Searle is an Associate Professor at the Faculty of Architecture, Design and Planning at The University of Sydney, specializing in urban planning and metropolitan governance. His academic career demonstrates a strong focus on strategic planning, infrastructure governance, and urban policy development, particularly within the Australian context. Professor Searle's research interests span urban planning, strategic planning, metropolitan governance, infrastructure governance, land use planning, urban sustainability, and city development. His work critically examines planning systems, governance structures, and policy implementation challenges in metropolitan areas, with particular attention to Sydney's urban development strategies and infrastructure projects. He has made significant contributions to understanding the complexities of metropolitan governance, the public interest in mega infrastructure planning, and the challenges of population growth management. Analysis of Professor Searle's recent publications reveals a consistent focus on governance frameworks for urban infrastructure, metropolitan strategic planning, and the intersection of planning policy with population dynamics. His work demonstrates a methodological diversity, employing systematic literature reviews, case studies, and network analysis to examine urban phenomena. A notable trend is his increasing focus on infrastructure governance, particularly how governance structures respond to crises and changing urban conditions. His research bridges theoretical planning concepts with practical policy applications, often drawing on Australian case studies while connecting to international planning discourse. Professor Searle has secured significant research funding, including the 2020 Infrastructure Governance Incubator grant from The Henry Halloran Trust and the 2019 Population Growth and Regional Connectivity research grant from the Australian Housing and Urban Research Institute. His collaborative approach is evident in his extensive co-authorship patterns across multiple institutions and disciplines. His scholarly contributions include numerous journal articles in leading planning and urban studies publications, book chapters, and edited volumes such as Global Planning Innovations for Urban Sustainability (2019). Professor Searle's work has appeared in high-impact journals including Urban Studies , Journal of Planning Literature , Urban Policy and Research , and Planning Theory and Practice .

• Urban Planning
• Strategic Planning
• Metropolitan Governance
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Christopher John O'Donnell is a distinguished Professor at the School of Economics, University of Queensland, Australia, where he holds a dual affiliation (50% each) with both the main School of Economics and the Centre for Efficiency and Productivity Analysis (CEPA). His research primarily focuses on efficiency and productivity analysis across various sectors including agriculture, fisheries, public services, and healthcare. As a leading scholar in his field, he has published extensively in top-tier economics and operations research journals and is recognized as being among the top 5% of authors globally according to multiple citation metrics. O'Donnell's research interests span several interconnected domains: efficiency analysis, productivity measurement, agricultural economics, econometrics, state-contingent production frontiers, and metafrontier analysis. His work often bridges theoretical methodology with practical applications, particularly in estimating efficiency and productivity changes under various constraints and uncertainties. He has developed innovative approaches for measuring productivity in public service providers, agricultural sectors, and healthcare institutions, with particular attention to how weather, climate change, and demand uncertainty affect performance metrics. His research output demonstrates consistent productivity, with publications spanning from the 1990s to the present, including significant contributions in the last five years. O'Donnell frequently collaborates with researchers internationally, particularly with scholars from Australia, Europe, and Asia, reflecting the global relevance of his work. His publications appear in leading journals such as the American Journal of Agricultural Economics, Journal of Productivity Analysis, European Journal of Operational Research, and Agricultural and Applied Economics journals. Ranked among top 5% authors by citation metrics (Number of Citations) Ranked among top 5% authors by citation metrics (Number of Citations, Discounted by Citation Age) Ranked among top 5% authors by citation metrics (Number of Citations, Weighted by Number of Authors) Ranked among top 5% authors by citation metrics (Number of Citations, Weighted by Number of Authors, Discounted by Citation Age) Ranked among top 5% authors by citation metrics (Euclidian citation score) O'Donnell has supervised numerous graduate students, as evidenced by his 'Record of graduates' noted in his RePEc profile. His research has been supported by various institutions, particularly focusing on agricultural productivity, public sector efficiency, and resource economics. He has contributed significantly to methodological developments in productivity measurement, including nonparametric approaches and metafrontier frameworks that allow for cross-technology comparisons. As a core member of the Centre for Efficiency and Productivity Analysis (CEPA) at the University of Queensland, O'Donnell contributes to one of the world's leading research centers in efficiency and productivity analysis. His work has practical applications for policymakers in agriculture, fisheries management, healthcare, and public service delivery, helping organizations measure and improve their performance in increasingly complex economic environments.

• Efficiency Analysis
• Productivity Measurement
• Agricultural Economics
• +5 more

Dr Won-Ki Seo is a Senior Lecturer in the School of Economics at the University of Sydney. His research focuses on time series analysis, econometric theory, and functional data analysis. He holds a Ph.D. in Economics from the University of California, San Diego. Research Interests: Dr Seo's work centers on cointegration analysis in functional spaces, Hilbertian processes, and the application of advanced mathematical frameworks to econometric problems. His recent studies explore tail behavior of Lévy processes, functional principal component analysis, and nonlinear time series modeling. Recent work includes analyzing stopped Lévy processes with Markov modulation and developing methodologies for functional time series inference Key contributions to cointegration theory in Banach spaces and functional data econometrics Dr Seo has published extensively in top journals like Econometric Theory and Journal of Time Series Analysis . His research bridges theoretical econometrics and practical applications in financial and environmental economics. Contact: won-ki.seo@sydney.edu.au | Office: A02 Social Sciences Building

• Time Series Analysis
• Econometric Theory
• Functional Data Analysis
• +3 more

Professor Byron Sharp is a Professor of Marketing Science and Director of the Ehrenberg-Bass Institute for Marketing Science at the University of South Australia. The institute is recognized as the world’s largest center for research into marketing, housing over 60 marketing scientists. He plays a pivotal role in advancing evidence-based marketing principles globally. Research Interests: Marketing Science and Empirical Generalizations Brand Growth and Customer Acquisition Advertising Effectiveness and Mental Availability Consumer Behavior and Loyalty Patterns Market Modeling (e.g., Dirichlet model) Evidence-Based Marketing Practice His recent publications reveal a consistent focus on quantifying brand performance, buyer behavior, and advertising impact. Trends in his articles emphasize the application of statistical models (e.g., NBD, Dirichlet) to understand consumer repertoires, loyalty, and the effects of advertising cessation. His work bridges academic rigor with practical marketing applications, particularly in brand strategy and media planning. Scientific Awards and Recognition: His book How Brands Grow was voted Marketing Book of the Year by AdAge readers. Recognized by Warc (2015) as one of the most influential marketing books of the past decade. Advising, Grants, and Collaborations: While specific student names are not listed, he leads a large research team and frequently collaborates with prominent scholars such as Jenni Romaniuk, John Dawes, and Robert Kennedy. His work is supported by industry partnerships and institutional funding through the Ehrenberg-Bass Institute, enabling large-scale empirical studies using real-world data. Labs and Teams: He directs the Ehrenberg-Bass Institute, which functions as a major research laboratory focused on marketing science, conducting longitudinal studies, empirical generalizations, and collaborative industry research.

• Marketing Science
• Brand Growth
• Consumer Behavior
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Ruben Loaiza-Maya is an Associate Professor (Research) in the Department of Econometrics and Business Statistics at Monash University. He holds a PhD in Econometrics from the University of Melbourne and an undergraduate degree in Economics from Universidad Nacional de Colombia (Medellin). His research focuses on Copula Modelling, Bayesian Estimation Methods, Time Series Analysis, and Macroeconomic/Financial Forecasting. Key contributions include advancements in variational inference, state space models, and robust forecasting techniques under model misspecification. He leads the active project 'Variational Inference for Intractable and Misspecified State Space Models' (2023–2026), funded as a Primary Chief Investigator. His work contributes to UN Sustainable Development Goals through methodological advancements in economic and financial analysis. Recent research emphasizes scalable Bayesian methods, hybrid variational approaches, and efficient computational techniques for high-dimensional models. Publications span prestigious journals like the International Journal of Forecasting, Journal of Econometrics, and Journal of Business and Economic Statistics. Notable collaborations include studies on copula-based time series forecasting and robust approximate Bayesian computation. His work bridges theoretical econometrics with practical applications in risk management and macroeconomic policy.

• Copula Modelling
• Bayesian Estimation Methods
• Time Series Analysis
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Associate Professor Wing Wah Tham holds a position at the School of Banking and Finance within the University of New South Wales (UNSW) Business School . He also maintains affiliations as a Marie Skłodowska-Curie Fellow and a Tinbergen Institute Fellow . Previously, he served as an Associate Professor of Financial Econometrics at the Econometric Institute, Erasmus School of Economics (2014–2016) and as an Assistant Professor there (2009–2014). Education : PhD, University of Warwick MSc, Imperial College, UK BEng, Nanyang Technological University of Singapore Research Interests : Professor Tham specializes in econometrics , market microstructure , asset pricing , and financial innovation . His work bridges quantitative finance with applications in artificial intelligence and sustainable development goals (SDG) , focusing on reproducibility, liquidity dynamics, and policy impacts. Recent Publications span high-impact journals like Journal of Finance , Management Science , and Review of Financial Studies , addressing topics such as nonstandard errors , AI for SDG mapping , and toxic arbitrage . These works are frequently presented at American Finance Association and Econometric Society meetings. Scientific Honors : PanAngora Crowell Second Prize Midwest Finance Association Best Paper Award Literati Network Awards for Excellence ARC Discovery Projects Grant Additional Activities : He has served as a visiting scholar at the Haas Business School, UC Berkeley and National University of Singapore , with interests in triathlons and ocean swimming.

• Econometrics
• Market Microstructure
• Asset Pricing
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Professor Alicia Rambaldi is Director of Research at the School of Economics, Faculty of Business, Economics and Law at the University of Queensland. She is also an Affiliate of the Centre for Efficiency and Productivity Analysis. Her academic career spans decades of research in econometric methodologies with applications to real-world economic problems. Professor Rambaldi's research interests focus on applied econometrics, time series econometrics, state-space models, and spatial time series models. She has made significant contributions to economic measurement, particularly in developing methodologies for computation of price indices for land and property, estimation with linked administrative data, and smoothing methodologies combining spatial and temporal information. Her work bridges theoretical econometrics with practical applications in housing markets, climate adaptation, and international economic comparisons. Her recent publications demonstrate a consistent focus on housing economics, with numerous papers on hedonic pricing models, property valuation, and the impact of environmental factors on real estate markets. She has also maintained a strong research program in international comparisons, purchasing power parity, and productivity analysis, often collaborating with leading researchers in these fields. Professor Rambaldi is actively involved in research supervision, currently advising on topics including language barriers faced by immigrants, distributive politics, and copula models. Her completed supervision includes significant work on purchasing power parities, development indexes, trade studies, and spatial analysis of tourism employment. Her current research projects include spatial time series models with applications to housing and land prices, transport demand modeling, and international comparisons. She has secured substantial funding from diverse sources including the Australian Research Council, Natural Hazards Research Australia, and government departments, demonstrating the applied relevance of her work. Professor Rambaldi leads an active research group within the Centre for Efficiency and Productivity Analysis, focusing on developing and applying advanced econometric techniques to address pressing economic measurement challenges. Her work often involves interdisciplinary collaboration with researchers in environmental science, urban planning, and transportation studies.

• applied econometrics
• time series econometrics
• state-space models
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Associate Professor Seojeong Lee is a faculty member at the University of New South Wales (UNSW) Business School, School of Economics, specializing in advanced econometric theory. She joined UNSW in 2012 after completing her PhD at the University of Wisconsin-Madison and has established herself as a leading researcher in robust inference methods under complex data conditions. Her educational background includes: Ph.D. in Economics, University of Wisconsin-Madison (2008-2012) M.A. in Economics, Seoul National University (2006-2008) B.A. in Economics and Political Science (dual major), Seoul National University, summa cum laude (2000-2006, with military service 2002-2004) Professor Lee's research centers on developing theoretically rigorous methods for econometric inference, with primary focus on generalized method of moments (GMM), instrumental variables (IV), and two-stage least squares (2SLS) under model misspecification. Her work addresses critical challenges including invalid/many/weak instruments, heterogeneous treatment effects, and clustered sampling, contributing foundational advances to statistical inference in economics. Analysis of her recent publications reveals a strong trajectory in refining methods for many-instrument settings and misspecified models, with increasing emphasis on computational implementations (e.g., Stata packages) and applications to causal inference. Her work bridges theoretical econometrics with practical policy-relevant analysis. Her scientific achievements include: Australian Research Council DECRA Fellowship (2017-2019) UNSW Dean's Research Fellowship (2020-2022) Zellner Thesis Award Honorable Mention from American Statistical Association (2014) Multiple competitive UNSW research awards Professor Lee actively supervises PhD candidates Wei Tian and Fangzhou Yu, and has secured over AUD 700,000 in research funding including ARC Discovery Projects. She teaches undergraduate and postgraduate econometrics courses, integrating her research into pedagogy. Her ongoing work continues to push boundaries in robust econometric methodology for modern data challenges.

• Econometrics
• Statistical Inference
• Generalized Method of Moments (GMM)
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Dr. María Yanotti serves as a Senior Lecturer in Economics at the Tasmanian School of Business and Economics (TSBE) within the University of Tasmania. Her academic appointment is based at the Rivers Edge Building, Inveresk campus in Launceston, Tasmania. With a specialization in housing finance, banking, and household economics, Dr. Yanotti has established herself as an expert in mortgage markets and residential property investment, frequently sought for media commentary on these subjects. Dr. Yanotti's research interests span housing finance, mortgage markets, residential property investment, banking economics, and household financial decision-making. Her work frequently examines the intersection of financial systems and housing markets, with particular attention to Australian market dynamics. She has published extensively on mortgage choice determinants, financial inclusion, and the relationship between housing finance systems and economic outcomes. Her research methodology often combines economic theory with sophisticated statistical analysis to address practical questions in housing finance. Analysis of Dr. Yanotti's publication record reveals a strong focus on housing economics and mortgage markets, with significant contributions to understanding residential investment patterns, mortgage choice determinants, and housing finance systems. Her research spans both theoretical and applied economics, with numerous publications in leading domestic and international journals. She has also expanded her research interests to include environmental economics topics such as marine plastic pollution valuation and climate change impacts, demonstrating interdisciplinary reach while maintaining her core expertise in housing finance. Dr. Yanotti has received research funding from the Australian Housing and Urban Research Institute (AHURI) and is affiliated with the Economic Society of Australia and the Women in Economics Network. Her work on residential property investment, particularly the phenomenon of investors favoring properties near their own residence, has received significant attention in both academic and policy circles. At the University of Tasmania, Dr. Yanotti teaches across multiple economics and finance subjects including microeconomics, statistics and quantitative methods, economics for managers, finance for managers, and data analysis for managers. Her teaching reflects her research expertise, connecting theoretical economic concepts with practical applications in housing and financial markets.

• Housing Finance
• Mortgage Markets
• Residential Property Investment
• +5 more

Associate Professor Jacquelyn Humphrey is the Discipline Convenor (Finance) at the University of Queensland's School of Business. She specializes in sustainable finance, ESG factors, and responsible investment, with interdisciplinary work in broader sustainability and funds management. Her research has influenced international entities like the UN Environment Programme and Norway's Government Pension Fund. She holds a PhD in Finance from UQ (2008) and an Honours degree in Business (2004). Her research focuses on how environmental, social, and governance considerations impact investment decisions, corporate behavior, and climate goals. Key areas include green bonds, fossil fuel extraction benchmarks, and the financial implications of corporate sustainability commitments. Her work appears in top journals like Nature Climate Change and Journal of Banking and Finance . Her 2022 study on climate skepticism's link to temperature trends and political shifts highlights her interdisciplinary impact. Recent articles analyze plastic pollution reduction strategies in the food sector and reproducibility in management science. She co-authored the open textbook Sustainable Finance (2024), addressing industry needs. Awards: Senior Fellow of Advance HE, BEL Faculty Teaching & Leadership Awards Industry Impact: Advised Queensland Treasury Corporation on social benefit bonds and DNR Capital on board performance Research Groups: Leads sustainability-focused projects with global industry partners

• Sustainable Finance
• Responsible Investment
• Environmental, Social, and Governance (ESG) Factors
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Dr. Catherine Gascoigne is a Macquarie Research Fellow (MQRF) at Macquarie Law School, holding a 100% research-focused position. She is actively affiliated with multiple research centers including the Transforming Energy Markets Research Centre, the Centre for Energy and Natural Resources Innovation and Transformation, and the Centre for Environmental Law at Macquarie University. Her research expertise spans International Economic Law with particular focus on International Trade Law and International Investment Law, and their intersections with International Environmental Law and International Energy Law. Dr. Gascoigne is currently leading the research project 'Towards a new legal framework for adjudicating causal questions in international investment law,' which critically examines how arbitral tribunals determine causation and proposes innovative approaches to this complex legal issue. Dr. Gascoigne's scholarly work demonstrates consistent engagement with contemporary challenges at the intersection of trade, investment, and environmental law. Her publications reveal a strong focus on causation in international dispute settlement, energy transition frameworks, and regulatory approaches to climate change. Her research output shows increasing engagement with practical policy implications of international legal frameworks. Honourable Mention, Australian and New Zealand Society of International Law Book Prize 2024 Society of International Economic Law/Journal of International Economic Law/Oxford University Press Essay Prize (2018/2019) Dr. Gascoigne serves on the Macquarie Law School Wellbeing Committee and Mentoring Committee, and regularly judges student mooting and client interviewing competitions. Her professional activities extend to memberships in the Society of International Economic Law and the Australian and New Zealand Society of International Law, demonstrating her active participation in the international legal community.

• International Economic Law
• International Trade Law
• International Investment Law
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Associate Professor Feng Chen is a faculty member at the School of Mathematics & Statistics, University of New South Wales, specializing in statistical methodology development and applications. His research bridges theoretical statistics and practical implementations across financial modeling, spatiotemporal processes, and public health analysis. PhD in Statistics from University of Hong Kong (2008) MSc in Applied Probability & Statistics from Lanzhou University (2004) BSc in Mathematics from Lanzhou University (2001) Research focuses include: Nonparametric and semiparametric statistical methods Point process modeling with emphasis on Hawkes processes Statistical computing and algorithm development Applications to financial data, earthquake analysis, and public health Recent publications demonstrate methodological advances in: Hawkes process estimation with complex data structures Renewal process applications in seismology GARCH modeling with missing data Spatiotemporal clustering analysis Scientific recognition includes: UNSW Science Staff Impact Award (2023) Professional roles: Director of Research Postgraduate Studies (2023--) Associate Editor for multiple journals Statistics Honours Coordinator (2013-2018) Active participant in statistical societies

• Nonparametric and semiparametric statistics
• Point processes and self-exciting processes
• Statistical computing
• +3 more