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Wooyong Lee is a Lecturer in the Economics Discipline Group at the UTS Business School, University of Technology Sydney. He holds a PhD in Economics from the University of Chicago (2020), an MS in Statistics from the University of British Columbia (2014), and a BA in Economics and Statistics from Korea University (2012). His research focuses on econometrics and applied microeconomics, specializing in panel data methods, difference-in-differences frameworks, and dynamic models. He has developed methodologies addressing spillover effects in staggered DiD designs and partial identification in heterogeneous coefficient models. His work applies to real-world issues like lifecycle earnings dynamics and policy evaluation. Lee teaches econometrics at undergraduate and postgraduate levels and supervises research students. His publications appear in venues such as Statistical Inference for Stochastic Processes and peer-reviewed working papers. Research interests emphasize causal inference techniques, with contributions to handling unobserved heterogeneity and measurement errors in economic data. Ongoing work explores dynamic treatment choice models where treatment decisions respond to outcome shocks, challenging traditional parallel trends assumptions.

• Econometrics
• Applied Microeconomics
• Applied Economics
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Roles and Affiliations: Professor David Levinson is a Professor of Transport in the School of Civil Engineering at the University of Sydney since 2017. He holds adjunct faculty status at the University of Minnesota's Department of Civil, Environmental, and Geo-Engineering (since 1999–2016). He previously directed the Accessibility Observatory and the Networks, Economics, and Urban Systems (NEXUS) research group. He is a member of The Net Zero Institute and leads the TransportLab research group. Education: PhD 1998 in Urban and Regional Planning from the University of California, Berkeley. Research Interests: Focuses on transportation networks, urban systems, accessibility analysis, and policy. Key themes include spatial equity, transport economics, and the co-evolution of land use and transport infrastructure. His work emphasizes data-driven approaches to urban mobility challenges, including modeling transport networks and evaluating infrastructure impacts on accessibility and equity. Grants and Projects: Recent grants include Design of micro-decisions in automated transport (2022, ARC) and Reducing pedestrian crashes through better intersection design (2021, Australian Road Safety Innovation). Collaborates internationally on projects like the Accessibility Observatory. Labs and Teams: Leads the TransportLab and collaborates with the NEXUS group. Active in interdisciplinary research, including urban analytics and transport policy.

• Transportation Engineering
• Urban Planning
• Network Design
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Professor Scott Sisson is Director of the UNSW Data Science Hub (uDASH) and Professor of Statistics and Data Science at the University of New South Wales, School of Mathematics and Statistics. His research focuses on computational statistics, particularly solving 'intractable' statistical problems through Bayesian methods, big data techniques, simulation algorithms, and extreme value theory with environmental applications. Education includes a PhD in Statistics from Bristol University (2002), MSc in Environmental Statistics from Lancaster University (1997), and BSc in Mathematics and Statistics from Lancaster University (1996). Research interests span: Bayesian statistics and uncertainty quantification Big data analytics and scalable algorithms Machine learning integration with statistical methods Extreme value modeling for climate/environment Computational techniques for intractable problems Recent publications (2022-2025) demonstrate strong emphasis on Bayesian computation, spatiotemporal modeling, and interdisciplinary applications in materials science, oncology, quantum computing, transportation policy, and ecology. Methodological innovations include likelihood-free inference, modular Bayesian analyses, and symbolic data modeling. Awards and honors: 2020 Service Award (Statistical Society of Australia) 2017 ARC Future Fellowship 2015 G. N. Alexander Medal (Engineers Australia) 2011 Moran Medal (Australian Academy of Science) 2010 J.G. Russell Award (Australian Academy of Science) 2010 Queen Elizabeth II Research Fellowship As Director of uDASH, he leads data science initiatives across UNSW. He maintains sustained ARC funding and supervises students in computational statistics, Bayesian methods, extreme value theory, and machine learning. Professional service includes editorial roles for Statistics and Computing and past presidency of Statistical Society of Australia.

• Computational Statistics
• Bayesian Statistics
• Big Data
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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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Dr. IKM Mokhtarul Wadud is a Senior Lecturer in the Department of Economics at The University of Sydney, Australia. Previously, he held roles as Senior Lecturer at Deakin University, Lecturer at Monash University Malaysia, and Assistant Professor at the University of Rajshahi, Bangladesh. He earned his PhD in Economics from the University of Wollongong in 2001. His research focuses on productivity analysis, macroeconomic policy, energy economics, and applied econometric modeling. Notable contributions include co-authoring the Asia Pacific edition of Introductory Econometrics (Cengage Learning) and publishing in journals like Economic Modelling and Energy Policy . His recent work addresses financial sustainability strategies in higher education during the pandemic and the impact of economic policy uncertainty on property prices in Australia. Dr. Wadud has presented at international conferences and served as a reviewer for multiple journals. His research spans diverse regions, including Australia, Thailand, Malaysia, and Bangladesh, with analyses of oil price volatility, monetary policy effects, and industrial competitiveness.

• Productivity Analysis
• Macroeconomic Policy
• Energy Economics
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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 Jiti Gao is a Donald Cochrane Chair in Econometrics & Business Statistics at Monash University's Faculty of Business and Economics. He leads the Department of Econometrics and Business Statistics, specializing in non- and semi-parametric econometrics, time-series analysis, and panel data methodologies. His research focuses on developing statistical models for climate change, energy demand, and financial forecasting. Affiliations: Monash University, Impact Labs Grants: Multiple ARC Discovery Projects (e.g., 2020–2025 on climate-energy time series, 2017–2020 on econometric model building) Collaborations: CSIRO, Yale University, and international partners from China, Norway, and Singapore Research interests include climate econometrics, financial time series, and policy evaluation. Over 136 publications span econometric theory and applications, with recent work on nonlinear trending models and quantile regression. His grants emphasize methodological advancements in time series and panel data analysis. Awards: Not explicitly mentioned, but recognition includes Australian Professorial Fellow status and international research leadership roles. Advising/Grants: Primary Investigator on multiple ARC-funded projects, focusing on climate modeling and financial econometrics Labs/Teams: Part of Monash's Impact Labs and collaborates with global institutions on climate and econometric initiatives

• Econometrics
• Non- and Semi-Parametric Econometrics
• Time-Series Analysis
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Francisco Barillas Bedoya is an Associate Professor at the School of Banking and Finance within the UNSW Business School, University of New South Wales. His research focuses on theoretical and empirical asset pricing, particularly portfolio choice, asset pricing tests, macrofinance, and term structure of interest rates. He has published extensively in top-tier journals like the Journal of Finance and Management Science. PhD from New York University MA from University of British Columbia BSc from Trent University His recent publications analyze Sharpe ratios for model comparison, speculative behavior in bond markets, and risk premia in fixed income markets. While no formal awards are listed, his work intersects financial economics, econometrics, and computational methods. Office: Level 3, Room 333C, Ref E12 Email: f.barillas@unsw.edu.au

• Asset Pricing
• Portfolio Choice
• Macrofinance
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Christopher O'Donnell is a Professor of Econometrics at the University of Queensland's School of Economics. He holds a PhD from the University of Sydney and has held academic leadership roles including Director of the Centre for Efficiency and Productivity Analysis. His research focuses on productivity and efficiency analysis, econometric methods, and their applications in agriculture, public policy, and environmental economics. Education: PhD (University of Sydney), MCom (University of New South Wales), BAgEc (Hons) (University of New England). Research interests include economic and statistical methods for measuring productivity changes, stochastic frontier analysis, and metafrontier frameworks. He has authored/co-authored three books and over 80 journal articles, with notable contributions in the American Journal of Agricultural Economics , Journal of Econometrics , and European Journal of Operational Research . Scientific awards include being a Distinguished Fellow of the Australian Agricultural and Resource Economics Society. His work has been applied in sectors like healthcare, fisheries, and public utilities through collaborations with organizations such as the World Bank and Asian Productivity Organization. Key projects include measuring agricultural productivity in China, analyzing hospital efficiency, and evaluating climate impacts on farming. Grants include studies on productivity measurement in Australian universities and Northern Grains Region farms. Labs/Teams: Former Director of the Centre for Efficiency and Productivity Analysis, collaborating with global institutions on productivity benchmarking and policy analysis.

• Productivity and Efficiency Analysis
• Econometrics
• Agricultural Economics
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Jakob Madsen is a Professor of Economics at the UWA Business School, The University of Western Australia, since January 2019. He previously held the Xiaokai Yang Distinguished Professorship at Monash University (2011–2019) and has held professorial roles at institutions including the University of Copenhagen and Brunel University. Madsen is a Fellow of the Australian Academy of Social Sciences and was an ARC Professorial Fellow (2011–2015). His research focuses on macroeconomics, economic growth, inequality, and applied econometrics, with over 140 publications in top journals. Education: PhD in Economics from the Australian National University (1992), Cand. Oecon (MEc) from Aarhus University (1983). Prior to academia, he worked in Denmark’s financial sector as Deputy Chief Economist at the Bank of Jutland. Research Interests: Madsen’s work examines long-run macroeconomic trends, including unified growth theory, inequality dynamics, the historical drivers of economic development, and the interplay between finance and growth. Recent projects explore aging societies, the impact of plagues on medieval markets, and the role of education in economic transitions. Grants & Awards: He has secured over AUD 2.3 million in ARC grants, including current projects on income inequality and capital shares. His awards include the Georgescu-Roegen Prize (2001) for work on the Great Depression and the Dean’s Award for Teaching Excellence (2009). Collaborations: Engages with global institutions like Aix-Marseille Université and the University of Bologna. Active in UN Sustainable Development Goals related to education and economic inequality.

• Macroeconomics
• Endogenous Economic Growth
• Unified Economic Growth
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Professor Susan Thorp is a Finance academic at the University of Sydney Business School . With a PhD in Economics from UNSW and prior roles at University of Technology Sydney and the Reserve Bank of Australia, she focuses on household finance , retirement planning , and financial market behavior . BEc (Hons) - University of Sydney Dip. Ed. - University of New England PhD - University of New South Wales Her research interests include: Life-cycle financial decision-making Behavioral influences on savings and investments Superannuation policy and market integration Commodity market dynamics Economic impacts of financial literacy Crises-driven market contagion Recent publications analyze retirement decumulation , financial trust , and commodity-equity market correlations . She leads cross-disciplinary teams applying dynamic programming , econometric modeling , and experimental design to financial challenges. Her grants include ARC Linkage Projects and ASIC commissions for improving financial communication and regulatory frameworks . Media outlets frequently cite her expertise on superannuation policy , market volatility , and retirement savings behavior .

• Household and Consumer Finance
• Retirement Savings and Decumulation
• Financial Decision Making
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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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Tunye Qiu is a recent PhD graduate in Economics from the Crawford School of Public Policy at the Australian National University (ANU) . He is currently on the job market and holds roles as a Senior Tutor and Associate Lecturer in the Research School of Economics (RSE) at ANU, where he has taught courses in microeconomics, macroeconomics, game theory, and policy impact evaluation since 2021. He also serves as the Program Manager of the China Economy Program and an Assistant Editor for the Journal of Chinese Economic and Foreign Trade Studies. Education : PhD in Economics (2024) at Crawford School, ANU; BEcon (ANU); MEcon (ANU). Research Interests : His work focuses on labor economics, urban economics, demographic economics, and development economics. He explores causal impacts of government policies on China’s housing market, fertility rates, land supply behavior, and housing demand, alongside international trade, labor markets in South Pacific countries, and educational outcomes in Australia. Teaching & Roles : Senior Tutor, Microeconomics 1 (2021-2024), Macroeconomics 1 (2024), Business Economics (2024), Strategic Thinking (2021-2023) at RSE, ANU. Teaching Quantitative Policy Impact Evaluation (2022-2024), Issues in Development Policy (2023-2024), and The Economic Way of Thinking (2023) at the Crawford School. Research Trends : His publications address housing affordability (2024), marriage delay (2024), policy impacts on housing prices (2024), land supply dynamics (2024), trade dynamics with China (2022), and migration patterns in China (2020). These works integrate causal inference methods and policy evaluation frameworks. Email : tunye.qiu@anu.edu.au

• Applied Economics
• Chinese Economy
• Causal Inference
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Dr. Ralf Steinhauser serves as a Senior Research Fellow at the Australian National University's POLIS: The Centre for Social Policy Research and as a Fellow at the Tax and Transfer Policy Institute. His research leverages advanced data analysis and experimental design to inform economic policy across carbon emissions forecasting, consumer behaviour, corporate governance, and taxation domains. He holds a Ph.D. and M.S. from the University of California, Berkeley, and an M.A. and B.A. from Humboldt University Berlin. Steinhauser's research spans Behavioural Economics, Fiscal Policy, Applied Econometrics, Experimental Economics, Environmental and Resource Economics, and Corporate Social Responsibility. His work consistently addresses policy-relevant questions through rigorous econometric analysis of large datasets and experimental methodologies, with particular emphasis on environmental and public finance applications. Analysis of his 2023-2025 publications reveals concentrated focus on green economy collaborations, behavioral public economics frameworks, and testing foundational economic hypotheses. His research demonstrates evolving integration of environmental sustainability with behavioral insights while maintaining methodological rigor in policy evaluation. Dr. Steinhauser actively contributes to collaborative research projects: Cost of road crashes in Australia (2021-2022) The use of nudges as a local government environmental policy instrument (2023-2025) Research services to investigate barriers to and boosters of the total fertility rate (2021) Impact of ACT Government tax reform (2019-2020) Estimation of elasticities for revenue bases (2018-2019) He maintains active affiliations with POLIS and the Tax and Transfer Policy Institute, where he participates in interdisciplinary teams addressing contemporary social policy challenges through evidence-based research approaches.

• Behavioural Economics
• Fiscal Policy
• Applied Econometrics
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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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