Jimmy Martinez-Correa is an Associate Professor in Applied Economics at the Copenhagen Business School (CBS) . His research focuses on decision-making under risk, uncertainty, and ambiguity, with significant contributions to experimental economics, behavioral finance, and risk management. He has published in top-tier journals like the Journal of Financial Economics and Journal of Money, Credit and Banking . PhD : Risk Management & Insurance (Georgia State University, 2012) M.A. & B.A. : Economics (Universidad de los Andes, Colombia) His research spans behavioral economics, econometrics, and machine learning applications for causal analysis. Recent work examines index insurance welfare consequences, bankruptcy reorganization incentives, and mortgage run-off behavioral responses. Key recent publications include: 2025 – Welfare Consequences of the Compound Risks of Index Insurance 2022 – Measuring the Ex-ante Incentive Effects of Creditor Control Rights 2022 – Responses to Eliminating Saving Commitments: Evidence from Mortgage Run-offs He has received the Sapere Aude Young Research Talent grant from the Danish Government and is affiliated with: Center for Economic Analysis of Risk (CEAR) , Georgia State University Pension Research Center (PeRCent) , CBS Danish Finance Institute His work integrates field experiments, econometric modeling, and behavioral insights to address practical policy and financial challenges. Current research explores ambiguity preferences, household risk management, and criminal behavior through field experiments.
Dr. Yu-Cheng Lin (also known as Robbie Lin) is a Sessional Lecturer at the University of New South Wales (UNSW), Faculty of Built Environment, specializing in real estate investment and finance. He holds a PhD in real estate investment and finance from UNSW and is a chartered member of the Royal Institution of Chartered Surveyors (MRICS) in investment management, fund management, financial modelling and valuation. His academic appointments include Coordinator/Sessional Lecturer positions at UNSW for courses including Property Industry Application (REST0010) and Construction Management Risk and Business Analytics (CONS0016), as well as teaching roles at Western Sydney University. PhD in Real Estate Investment and Finance, University of New South Wales University International Postgraduate Award (UIPA scholarship), UNSW, 2019 Dr. Lin's research focuses on the intersection of real estate markets, capital markets, and investment strategies. His expertise includes analyzing interest rate sensitivity across different real estate sectors, particularly REITs in the Pacific Rim region, US, UK, Europe, and APAC markets. He investigates how monetary policy affects various commercial real estate sectors including office, retail, industrial and logistics, multifamily (BtR), healthcare, hotel, infrastructure, and data center properties. His work bridges academic research with practical application in institutional investment, providing insights for portfolio construction, tactical and strategic asset allocation, and interest rate risk management. His recent publications demonstrate a clear trend toward sector-specific analysis of real estate investment performance, with particular emphasis on how different property types respond to changing interest rate environments. His research increasingly focuses on the Pacific Rim region while maintaining a global perspective, examining how US monetary policy transmits to international real estate markets. The growing importance of logistics and industrial real estate due to e-commerce trends, as well as the development of specialized investment vehicles like Build-to-Rent (BtR), features prominently in his recent work. Doctoral Program Manuscript Prize Winner, American Real Estate Society (ARES), 2021 PhD Award for 'Highly Commended Presenter on the Day', Pacific Rim Real Estate Society (PRRES), 2020 University International Postgraduate Award (UIPA scholarship), University of New South Wales, 2019 Dr. Lin has secured research funding including a €$15,000 grant from the European Public Real Estate Association (EPRA) for his project on varying interest rate sensitivity of different real estate sectors. His research has been commercially applied in formulating institutional fund and investment management strategies, with practical implementations in real estate wholesale funds reporting for global institutional investors (SWFs, Pension Funds, Insurers). He has developed tactical and strategic asset allocation strategies for real estate funds across multiple regions and has created distressed asset and debt investment strategies for various real estate sectors. Through his media engagement with outlets including The Property Chronicle and Special Broadcasting Service (SBS), Dr. Lin actively translates academic research into practical insights for industry professionals and the broader public. His work demonstrates a strong commitment to connecting academic research with real-world applications in the commercial real estate industry.
Lesław Gajek is a Full Professor at Lodz University of Technology, where he works in The Division of Insurance and Capital Markets. He has established himself as a leading scholar in actuarial science and mathematical finance through his extensive academic career spanning over four decades. Professor Gajek's research focuses on ruin theory , insurance risk modeling , pension plan management , and financial optimization . His methodological approach combines probability theory with practical financial applications, frequently employing mathematical techniques such as the Banach fixed-point theorem and regime-switching models. His work addresses complex problems in insolvency analysis , portfolio immunization , and interest rate risk management , making significant contributions to both theoretical frameworks and practical applications in the insurance sector. Analysis of his recent publications (2013-2025) reveals an increasing sophistication in modeling approaches, with growing emphasis on multidimensional risk models, regime-switching environments, and applications of fixed-point theorems to insurance solvency problems. His research trajectory shows consistent development of rigorous mathematical frameworks for assessing and managing financial risk in insurance contexts. The David Garrick Halmstad Prize (2006) for "Reinsurance arrangements maximizing insurer's survival probability" Professor Gajek has supervised seven doctoral students to completion, including Łukasz Kuciński, Elżbieta Krajewska, and Marcin Rudź, contributing significantly to the development of actuarial science in Poland. His academic mentorship and extensive publication record across prestigious journals like Insurance: Mathematics & Economics and Journal of Risk demonstrate his sustained impact on the field.
Dr. Erik Billing is a researcher at the University of Skövde , actively contributing to the School of Informatics and affiliated with the Interaction Lab (ILAB) . His work focuses on human-robot interaction (HRI), cognitive ergonomics, and extended reality (XR) applications in industrial and educational contexts. Research Pillars : Human-Robot Interaction, Cognitive Ergonomics, Eye-Tracking, Virtual/Augmented Reality, Digital Human Modeling Key Projects : RO-LIV (social robots for elderly), EWASS (industrial HRI), OKAVIM (XR competency) Funding : Supported by AFA Insurance and Vinnova grants His recent work includes investigating body language in social robots, expectation formation in HRI, and gaze-based worker behavior prediction. Dr. Billing serves as editor for SweCog conference proceedings and contributes to VR/XR motor learning research.
Julie Thøgersen is an Assistant Professor at the Department of Economics and Business Economics, Aarhus University. She specializes in actuarial science, particularly insurance mathematics, with a focus on optimal premium selection, market competition, and risk modeling. Primary Affiliation: Department of Economics and Business Economics, Aarhus University Education: PhD in Mathematics, Aarhus University Her research integrates stochastic control , game theory , and Bayesian statistics to analyze insurance market dynamics, product design, and experience rating. Recent work addresses credibility premium rules, capital requirements, and welfare implications of insurance deductibles. Julie has published extensively in journals like Insurance: Mathematics and Economics and ASTIN Bulletin . Key trends in her work include non-life insurance strategies , stochastic modeling , and market equilibrium analysis .
楊曉文 is a Full Professor at the Department of Money and Banking, College of Commerce, National Chengchi University (NCCU). Her research specializes in sustainable finance, actuarial science, and risk management, with particular focus on ESG integration in investments, mortality-linked securities, and pension system sustainability. She holds a Ph.D. in Actuarial Mathematics from Heriot-Watt University and an M.S. in Statistics from the University of Iowa. Her research explores: ESG materiality in corporate performance and equity valuation Longevity risk modeling for insurance products Reverse mortgage pricing under stochastic house prices Robo-advisor adoption determinants Volatility targeting in sustainable indices Recent publications demonstrate strong emphasis on Taiwan's financial markets and cross-country comparative analyses. Awards & Honors: MOST Research Awards (ROC years 109-113) 20-Year Outstanding Teacher Award, NCCU (2020) Professional Leadership: Serves as Vice Chairman of Taiwan Pension Fund Association, Independent Director at Yuanta Financial Holdings, and Director of NCCU's Financial Research Center. Leads multiple national research projects on ESG investing and retirement finance funded by Taiwan's National Science and Technology Council.
Timothy M. Todd, Ph.D., serves as Dean and Professor of Law at Liberty University School of Law, directing the nation's first JD-based, CFP Board-registered Wealth Management and Financial Planning Program. He teaches taxation, estate planning, and corporate law courses while maintaining active CPA licensure and bar admissions. His educational credentials include: Ph.D. in Personal Financial Planning, Kansas State University M.S. in Applied Economics (Financial Economics), Johns Hopkins University J.D., Liberty University School of Law (first in class, summa cum laude) M.S. in Accounting, Liberty University B.S., Liberty University (summa cum laude, Honors Program) Graduate Certificate in Applied Statistics, Kansas State University Dr. Todd's research bridges legal scholarship with financial therapy, focusing on taxation (partnership, estate, gift), financial planning (charitable giving, robo-advisors), and corporate law. His interdisciplinary work examines worldview impacts on philanthropy, gender effects on financial socialization, and municipal bond investment strategies. Recent publications (2023-2025) reveal growing emphasis on practical tax applications for individuals and businesses, particularly in estate planning innovations and financial technology adoption within advisory services. His accolades include: 2024 Best Research Award, Financial Planning Association 2024 AFCPE Symposium Research Paper Award John Raneri Fellow, UNSW School of Taxation John Nolan Fellow, ABA Section of Taxation As former Associate Dean for Faculty Development & Scholarship (2020-2024) and current program director, Dr. Todd shapes academic initiatives while contributing to professional standards through AICPA committees, Virginia CPA advisory roles, and ABA leadership. His media commentary in Forbes, Fox News, and Bloomberg extends scholarly insights to public discourse.
Arturo Leccadito serves as Associate Professor in the Department of Economics, Statistics and Finance (DESF) at the University of Calabria, where he has held academic positions since 2009. His current role builds on prior experience as Assistant Professor (2009-2018) and multiple visiting appointments at Cass Business School in London. As Course Director for the Master Programme in Finance and Insurance (2020-2023), he oversees advanced financial education while maintaining active research and teaching responsibilities in Financial Econometrics and Risk Management courses. Ph.D. in Computational Methods for Financial and Economic Forecasting (University of Bergamo, 2008) Marie Curie Fellow at Cass Business School (2005) Degree in Statistics and Actuarial Science (University of Calabria, 2004; 110/110 cum Laude) Leccadito's research focuses on quantitative financial modeling with specialization in risk management frameworks, commodity market dynamics, and cryptocurrency forecasting methodologies. His work integrates advanced econometric techniques with practical financial applications, particularly in covariance matrix estimation, tail risk prediction, and derivative pricing. Recent publications demonstrate increasing emphasis on sustainable finance applications including green bonds and energy markets. Analysis of his 15 most recent publications reveals strong methodological consistency in nonlinear time series modeling and extreme value theory , with expanding applications from traditional commodities to digital assets. The research portfolio shows progressive complexity from early binomial tree models to current wavelet-based geopolitical risk analysis, maintaining focus on practical risk management solutions. As member of the Metodi quantitativi per l'economia, la finanza ed il management research group, Leccadito collaborates on developing quantitative models for decision-making across finance, actuarial science, and industrial economics. His teaching portfolio spans undergraduate Probability and Financial Mathematics courses to graduate-level Financial Risk Management instruction in English.
Sarah Labowitz is a Senior Fellow at the Carnegie Endowment for International Peace in the Sustainability, Climate, and Geopolitics Program . Her work focuses on climate change security, disaster recovery policy, and geopolitical risks associated with climate shocks. She co-founded the NYU Stern Center for Business and Human Rights and directed the documentary Texas, USA (2023). Education : MA in Law and Diplomacy from Tufts University’s Fletcher School; BA in History from Grinnell College. Expertise : Climate change security, federal disaster management (FEMA), and adaptation strategies. Her research emphasizes creating resilient systems through practical tools like the Disaster Dollar Database , which tracks federal funding for disaster recovery. Recent work analyzes FEMA reforms under the Trump administration, climate-driven economic shocks, and misinformation during disasters. Scientific Awards : Included in Forbes’ 30 Under 30 (Law & Policy, 2012) Recognized for volunteer work during Hurricane Harvey (2017) She serves on Houston’s Human Rights Subcommittee for the 2026 World Cup and previously held leadership roles at the ACLU of Texas and the U.S. Department of State.
Dominik Wied is a Professor of Statistics and Econometrics at the Faculty of Management, Economics and Social Sciences at the University of Cologne. Previously, he held positions as Assistant Professor (2011–2016) and Visiting Professor (2015–2016) at TU Dortmund. His research focuses on Financial Econometrics , Structural Breaks , and Microeconometrics , with applications in portfolio management and risk assessment. Education: Diploma in Statistics (TU Dortmund, 2008), Ph.D. in Statistics (TU Dortmund, 2009). Affiliations: Institute for Statistics and Econometrics (University of Cologne), ECONtribute Cluster of Excellence (Markets & Public Policy). His recent publications emphasize conditional distribution modeling , structural break detection , and copula-based dependence analysis , particularly in financial and economic contexts. He has contributed to advanced statistical methodologies in time series and spatial modeling, including applications to banking risk assessment and health insurance data. Notable trends in his work include: Developing robust tests for nonlinear endogeneity corrections and quantile regression stability. Advancing factor copula models with exogenous covariates for financial dependence structures. Improving spatial dependence and time series cointegration monitoring techniques. Contact: dwied@uni-koeln.de | Phone: +49 221 470 4514
Prof. Dr. Ute Werner is an active Professor in the Department of Economics at Karlsruhe Institute of Technology (KIT), Germany, affiliated with the Institute for Finance, Banking and Insurance. Her office is located at Kaiserstraße 12, 76131 Karlsruhe, with contact details including phone 0721-608-6614 and fax 0721-358-663. Her primary research focuses on insurance management and risk assessment, particularly regarding natural hazards and behavioral economic factors in financial decision-making. Werner's research spans insurance management, risk assessment, natural hazards, behavioral economics, finance, and semiotics in business. She investigates psychological determinants of retirement savings behavior, methodologies for estimating industrial/commercial asset values in disaster risk assessment, and applications of semiotic theory in multicultural marketing. Her work emphasizes empirical studies on flood/earthquake impacts on businesses, corporate risk management under climate change, and the interplay between risk perception and insurance behavior, often through interdisciplinary collaborations with researchers like Borst, Seifert, and Thieken. Analysis of her 15 most recent publications (2005-2009) reveals consistent interdisciplinary trends: (1) Behavioral economics approaches to retirement planning using psychological/neuroeconomic frameworks; (2) Development of asset valuation methodologies for natural hazard risk assessment, particularly floods and earthquakes; (3) Empirical examinations of corporate risk management strategies in response to climate change; and (4) Integration of semiotic theory into business administration and insurance contexts. Her work bridges economics, psychology, and disaster management, frequently appearing in journals like Natural Hazards, Journal of Insurance, and NeuroPsychoEconomics.
Dan Weiss is a Professor at the Coller School of Management , Tel Aviv University, specializing in financial and managerial accounting, insurance, and corporate governance. He serves as director of the Harel Center for Capital Market Research and previously held the editorship of the Journal of Management Accounting Research . Research focuses on cost behavior, family business dynamics, and capital market disclosures. Co-author of high-impact studies in journals like Nature Reviews Drug Discovery and Academy of Management Review . Scientific Awards : Lybrand Certificate of Merit Award Best Paper Award at The 2nd European Risk Conference
Dr. Zafeira Kastrinaki is a Senior Lecturer at Brunel Business School (College of Business, Arts and Social Sciences) specializing in Strategy, Entrepreneurship, and International Management. She has held prior academic positions at the Universities of Bath, Warwick, and Imperial College, alongside professional consultancy roles in antitrust and merger control. BSc in Economics, Aristotle University, Greece MSc in Finance, University of Sheffield PhD in Industrial Organization, University of Warwick Her research bridges strategic risk management, corporate governance, and corporate finance, focusing on CEO-board interactions, M&A dynamics, and risk mitigation strategies. She has secured funding from NESTA and the European Union, with publications in top-tier journals like Business Ethics Quarterly and Oxford Bulletin of Economics and Statistics. Recent publications emphasize interdisciplinary approaches to M&A timing, private equity insurance, and corporate philanthropy. She is a Fellow of the Higher Education Academy (FHEA) and actively participates in peer review for journals including British Journal of Management.
Tom Chang is an Associate Professor of Finance and Business Economics at the Marshall School of Business, University of Southern California. He also holds research fellowships at the Schaeffer Center for Health Policy and Economics and the Dornsife Center for Economic and Social Research, demonstrating his interdisciplinary approach to economic research. Dr. Chang earned his BS in Physics (1998) and PhD in Economics (2009), both from the Massachusetts Institute of Technology. His academic journey reflects a unique blend of scientific training and economic analysis that informs his research methodology. His research spans multiple interdisciplinary domains with particular emphasis on behavioral economics. Dr. Chang investigates how environmental factors like temperature and air pollution affect workplace productivity and cognitive performance, with his thermostat study revealing significant gender differences in temperature preferences. His health economics research examines vaccination behavior, financial incentives in medical contexts, and racial disparities in healthcare outcomes. Another significant strand explores market behaviors, including asset pricing anomalies, the economics of medical marijuana dispensaries, and collectibles markets. Dr. Chang's publication record demonstrates a consistent pattern of high-impact research that bridges economics, environmental science, and public health. His work often employs natural experiments and randomized controlled trials with large sample sizes, and many studies have received significant media attention across major international outlets. His scholarly contributions have been recognized with prestigious awards: Hillcrest Behavioral Finance Award (2015) California Corporate Finance Conference Best Paper Award (2015) Dr. Chang actively contributes to academic training through courses including Causal Inference Research Methods and Strategic Planning for Growth. His research has been supported by grants enabling large-scale randomized trials across diverse settings including Chinese call centers, agricultural facilities, and California healthcare systems. As a research fellow at both the Schaeffer Center and Dornsife Center, Dr. Chang collaborates with interdisciplinary teams to address complex questions at the intersection of economics, health policy, and environmental science, positioning him at the forefront of applied economic research with real-world policy implications.
N. Bora Keskin serves as Associate Professor of Business Administration at Duke University's Fuqua School of Business, specializing in data-driven optimization for dynamic pricing, revenue management, and operational systems. His work bridges theoretical operations research with practical applications in evolving market environments. His research focuses on developing machine learning and statistical methods for pricing under demand uncertainty, with emphasis on perishable inventory, platform operations, and service management. Current investigations include blockchain-enabled supply chain transparency, smart meter-based electricity pricing, and multi-agent learning in competitive markets, demonstrating consistent innovation in integrating high-dimensional data with classical optimization frameworks. Recent publications reveal a trajectory toward interdisciplinary applications, combining reinforcement learning with stochastic modeling to address challenges like reference price effects, information asymmetry in insurance, and congestion in two-sided platforms. Key themes involve personalization, nonstationary demand learning, and incentive design in complex systems. Dr. Keskin's scientific contributions have been recognized with prestigious awards including: Winner, MSOM Young Scholar Prize (2024) Winner, Lanchester Prize (2019) Winner, Triangle Impact Challenge (2021) Markov Lecture Discussant, INFORMS Applied Probability Society (2023) Multiple best paper awards across INFORMS conferences (2020-2024) While specific doctoral student mentorship details and grant funding information are not provided in available materials, his collaborative research spans institutions including Chicago Booth and UNSW, with works featured in Duke Fuqua Insights and INFORMS publications. No dedicated research labs or teams are explicitly referenced in the source text.
