Ryan Tierney is an Associate Professor in the Department of Economics at the University of Southern Denmark. His research focuses on Market Design, Game Theory, and Mechanism Design, with contributions to auction theory and allocation rules in economic systems. He holds a Ph.D. in Economics from the University of Rochester (2015). Research Interests include School Choice Mechanisms, Multi-Object Auctions, and Social Choice Theory. He has published in top journals like the American Economic Review and Mathematics of Operations Research. Awards include the Best Paper in Microeconomics (2021). Teaching responsibilities include courses such as Industrial Organization, Principles of Economic Behavior, and Market Design. He actively engages in academic activities, delivering over 26 conference presentations, guest lectures, and peer reviews since 2019. Recent work explores crowding effects in school choice systems, discrete pricing strategies in auctions, and tax mechanisms for housing markets. His research bridges theoretical economics with practical policy design.
Andreas Klose is an Associate Professor at the Department of Mathematics, Aarhus University, Faculty of Science. His work focuses on combinatorial optimization and integer programming, particularly for logistics applications. Active in exact solution approaches for bi-objective and uncertain facility location problems Develops metaheuristics for fixed charge transportation challenges Teaches master courses on location planning, vehicle routing, and optimization methods Research Trends: Recent publications emphasize facility location under uncertainty, exact algorithms for capacitated problems, and metaheuristic approaches. Topics span both theoretical and applied operations research. Teaching: Offers courses on Multiple Criteria Optimization , Location Planning , Vehicle Routing , and Metaheuristics , alternating between fall and spring semesters. Collaborations: Frequently collaborates with researchers like Simon Gadegaard and Kim Jörnsten on facility location and transportation problem frameworks.
Jørgen T Lauridsen is a Professor in Health Economics at the Department of Economics, Faculty of Business and Social Science, University of Southern Denmark. He is affiliated with the Centre of Health Economics Research (COHERE) and has been a key figure in Danish and international health economics research since the early 2000s. Professor, Centre of Health Economics Research (COHERE), University of Southern Denmark (2012–present) Professor in Health Economics, Institute of Public Health (2007–2011) Associate and Assistant Professor roles at Odense University and University of Southern Denmark (1995–2007) PhD in Econometrics, Odense University (1995) M.Sc. in Economics and Mathematics, Odense University (1992) His research focuses on health economics, health econometrics, and biostatistics , with a strong emphasis on inequality in health and healthcare access . He specializes in discrete choice methods , preference elicitation , and survey sampling methodology . His work also spans regional science, demography, housing economics , and public health policy . He has led major national and international projects including SHARE-DK and REGLINK-SHAREDK. The recent publications reflect a strong trend in interdisciplinary research combining economics with clinical outcomes, aging, and healthcare delivery. His work increasingly integrates register data with survey data to assess health capacity in older populations, postoperative outcomes, and community-based interventions. The keywords across articles include aging, equity, econometrics, healthcare policy, and methodological innovation in data analysis. Scientific Awards: Fyns Erhvervsfonds Forskerpris (2007) Fyns Stiftstidendes Forskerpris (2009) Velux Grant – Voksenlivets overgange og forandringer (2019) Mary Hanna Memorial Journalism Award, Research Category: First Place (2025) He has supervised students and visiting researchers, including Rebecca Boyce from York. He has secured major grants, notably from the Danish Research Council, Carlsbergfondet, and TrygFonden, for the collection and infrastructure of Danish SHARE data. His extensive peer-review activities span top journals in health economics, public policy, and regional studies. He has also served in key leadership roles such as Director of the PhD School (Business & Social Science) and Chair of the PhD Committee. Jørgen T Lauridsen is actively involved in multiple formal research networks including EuroQol, ECuity, AHEAD, TECH-ZED, and the European SHARE project. He leads the Danish component of SHARE and is deeply engaged in national data management and research infrastructure through committees under the Danish Research Infrastructure and Sundhedsstyrelsen.
Claire Gudex is an Associate Professor in the Department of Clinical Research at the University of Southern Denmark (SDU), with strong affiliations to Odense University Hospital (OUH). Her work integrates clinical medicine, public health, and health outcomes research, focusing on patient-reported outcomes and quality of life assessment. Her research interests lie at the intersection of health outcome measurement , cultural adaptation of instruments , psychological distress , and eating disorders , particularly anorexia nervosa. She actively contributes to the development and validation of tools such as the EQ-5D and DE-STRESS survey, ensuring they are culturally appropriate and psychometrically sound across populations. The recent trend in her publications reflects a deep engagement with methodological rigor in health economics, including discrete choice experiments, longitudinal stability of health preferences, and cognitive assessment in severe psychiatric conditions. Her work spans both clinical populations and healthcare professionals, emphasizing measurement validity and mental health. She is actively involved in international research networks such as EuroQol, participates in peer review and editorial work, and presents at major conferences. Her collaborative approach is evident in multidisciplinary teams focusing on geriatrics, emergency care, and personalized medicine.
Bertel Schjerning is a Professor at the Department of Economics within the Faculty of Social Sciences at the University of Copenhagen. He heads the Center for Computational Economics (CCE) and is affiliated with the Center for Applied Microeconometrics (CAM) and Economic Policy Research Unit (EPRU). His research focuses on computational methods for solving and estimating dynamic economic models. Education: Ph.D. in Economics, University of Copenhagen (2007) Schjerning specializes in structural microeconometrics and numerical dynamic programming, developing techniques to solve and estimate models of intertemporal economic behavior under uncertainty. His applied work has focused on entrepreneurial behavior including savings, human capital accumulation, entry/exit decisions, and job creation. Recent research examines household car ownership, usage patterns, and strategic investment behavior of duopoly firms. His publications demonstrate expertise in dynamic programming models, dynamic games, and computational economics with applications across multiple economic subfields. His extensive publication record shows a progression from entrepreneurship and labor economics toward sophisticated computational methods for dynamic structural models, with increasing focus on machine learning integration in recent years. The research spans theoretical methodology development and empirical applications in transportation, industrial organization, and public finance. Awards: The Invisible Hand (2010): Teaching award for best teacher at the Department of Economics, University of Copenhagen Schjerning has supervised numerous PhD students, both as main supervisor and co-supervisor. He has secured significant research funding including grants from the Danish Council for Independent Research (DFF), Danish Strategic Research Foundation (DSF), and European Policy Research Network (EPRN) totaling over 12 million DKK for projects on dynamic games, road user charging, and tax behavior. He regularly teaches PhD courses internationally at institutions including University College London, Yale, and Zurich University. Schjerning established and leads the Center for Computational Economics (CCE), focusing on computational challenges in economics with emphasis on dynamic games and programming models. He maintains strong international connections, collaborating with top researchers at Georgetown, Yale, UNSW, UCL, and other leading institutions worldwide.
Hannes Ullrich is an Associate Professor at the Department of Economics, Faculty of Social Sciences, University of Copenhagen. He also serves as a Research Associate at the German Institute for Economic Research (DIW Berlin) since 2013 and previously held a Research Associate position at the University of Zurich from 2011 to 2019. His work bridges academic research with practical policy applications, particularly in the areas of healthcare economics and digital markets. Dr. Ullrich's research focuses on empirical industrial organization, health economics, personnel economics, digitization, and discrete choice modeling . His most prominent work examines antibiotic prescribing patterns and resistance, where he has secured an ERC Starting Grant to investigate this critical public health issue. His research demonstrates how machine learning can complement physician decision-making to reduce inappropriate antibiotic use while maintaining treatment effectiveness. Beyond healthcare, he has made significant contributions to understanding digital markets, particularly regarding data value, online tracking, and platform competition, as evidenced by his work on Facebook shadow profiles and returns to data in web tracking. His publication record shows a clear trend toward interdisciplinary research that combines economic theory with data science methods to address pressing policy questions. Recent work increasingly focuses on the intersection of artificial intelligence and human decision-making in healthcare contexts, while maintaining strong connections to traditional industrial organization questions in digital markets. His research has received attention from both academic and policy communities, with several of his papers generating media coverage and policy discussions. Among his notable achievements is the prestigious ERC Starting Grant for his research on antibiotic prescribing and resistance. His work has been published in leading journals including the Journal of Human Resources, Quantitative Marketing and Economics, and Economics Letters, demonstrating both theoretical rigor and practical relevance. Dr. Ullrich actively engages with policy communities through his work at DIW Berlin, where he contributes to research on competition policy, digital markets, and healthcare economics. His research often has direct policy implications, particularly regarding data governance, healthcare innovation, and competition in digital markets. He maintains strong connections between his academic work at the University of Copenhagen and applied policy research at DIW Berlin, creating a bridge between theoretical economics and practical policy solutions.
Anders Munk-Nielsen is an Associate Professor in Economics at the Department of Economics, University of Copenhagen, with a focus on Empirical Industrial Organization and Structural Microeconometrics . He is a core member of the Centre for Computational Economics , applying computational methods to analyze pharmaceutical, car, and housing markets. Education : PhD in Economics (2015) and MSc in Economics (2013), both from the University of Copenhagen. His research spans Environmental Economics , Health Economics , and Transportation Economics , emphasizing Household Demand and Discrete Choice . Recent work includes structural models of automobile markets with secondary market complementarities, Danish pharmaceutical price cycles, and income dynamics analyzed via regression trees. Publications include high-impact journal articles in Journal of Political Economy , Journal of Urban Economics , and Economics Letters , alongside working papers on electric vehicle adoption and spatial competition in pharmacies. Articles reflect a blend of Computational Economics and Policy Analysis . Scientific Awards : SAS Analytics Specialepris (2014) Zeuthenprisen (2013) Junior Researcher Paper Prize of ITEA (2014) He actively supervises students, offering guidance on thesis topics, project management, and AI tools. His teaching includes Advanced Microeconometrics , Advanced Industrial Organization , and Game Theory . He has participated in international seminars at Yale, AEA/ASSA, and EEA/ESEM.
Lasse Heje Pedersen is a Professor of Finance at Copenhagen Business School (CBS) and Director of the Center for Big Data in Finance (BIGFI). He also serves as a Principal at AQR Capital Management and a Research Fellow at the Centre for Economic Policy Research (CEPR). His academic roles include serving on editorial boards of top journals such as the Journal of Finance and Quarterly Journal of Economics . Pedersen holds a PhD from Stanford University, with earlier degrees from the University of Copenhagen. Education: B.S. and M.S. in Mathematics-Economics from University of Copenhagen (1995-1997) PhD in Business from Stanford University (2001) His research focuses on liquidity risk, asset pricing, financial frictions, and systemic risk, with contributions to ESG investing, replication crises in finance, and social networks in markets. Key areas include the impact of liquidity on asset returns, margin-based pricing, and the role of funding liquidity in crises. Pedersen’s work has been recognized with awards such as the Bernácer Prize, Banque de France-TSE Prize, and multiple journal prizes, including the Fama/DFA Prize and Michael Brennan Award. Notable publications include Efficiently Inefficient (2015), Betting Against Beta (2014), and Value and Momentum Everywhere (2013). His recent work addresses ESG integration, replication challenges in finance, and the dynamics of social media-driven market events like the GameStop incident. He advises institutions such as NASDAQ, the Federal Reserve Bank of New York, and the ECB. Pedersen’s research emphasizes practical applications, bridging academic theory with investment management and policy.
Felix Eggers is a Professor of Marketing at Copenhagen Business School (since 2021), leading research in digitalization, AI, and quantitative methods. He previously held roles at the University of Groningen and was a visiting scholar at institutions like MIT Sloan and the University of New South Wales. His work bridges academic rigor with practical consulting experience. Education: PhD in Marketing from the University of Hamburg. Teaching qualifications include the University Teaching Qualification (BKO) from Groningen. Research focuses on digital business models, Generative AI, Corporate Digital Responsibility, pricing, and branding. Methodologically, he specializes in conjoint analysis and discrete choice experiments. Collaborations include the Measuring the Digital Economy initiative and GDP-B development. Publications appear in top journals like Marketing Science and Journal of Marketing . Recent work explores privacy calculus (PRICAL index), cultural differences in data sharing, and AI adoption dynamics. Supervises Master’s theses with a quantitative focus. Engages in external projects like co-supervising PhD students and advising Kwantum Analytics. Active in developing my.preferencelab.com for preference measurement tools. Contributions span academic conferences (e.g., Quantitative Marketing Research Conference) and industry partnerships, emphasizing applied research in digital transformation and consumer behavior.
Laurent Cazor is a Postdoctoral Fellow at the Department of Technology, Management and Economics within DTU Management, Technical University of Denmark. His research focuses on transportation systems modeling with emphasis on behavioral realism in route choice and travel demand analysis. His primary research interests include: Transportation Engineering Route Choice Modeling Travel Demand Modeling Behavioral Modeling Transport Systems Analysis of his publication trends reveals significant advancements in bounded rationality frameworks, addressing heteroscedasticity, overlap effects, and bias reduction in imbalanced datasets. His work bridges theoretical choice modeling with practical applications in sustainable transport infrastructure, particularly bicycle path planning using open data sources. Cazor operates within the Transport Systems Modelling section of the Division of Transport, contributing to large-scale network analysis and behavioral model development for transportation planning.
Kennet Christian Uggeldahl serves as Assistant Professor in the Department of Food and Resource Economics within the Faculty of Science at the University of Copenhagen. His work centers on environmental economics, specializing in the valuation of non-market environmental goods through advanced choice experimentation methodologies. Education: PhD in Environmental Economics, University of Copenhagen (2015-2018). Dissertation: "Essays on decision making processes, information acquisition, and preferences in stated choice experiments: Applications to economic valuation of consumer and environmental goods". Research Focus: Uggeldahl pioneers the integration of eye-tracking technology with choice experiments to analyze decision-making processes in biodiversity valuation. His expertise spans stated preference methods for quantifying non-market values, with particular emphasis on Danish conservation contexts. Current work investigates public perceptions of biodiversity conservation value and socio-economic integration of biodiversity metrics. Publication Trends: Recent publications (2024-2025) demonstrate increasing policy relevance, focusing on operationalizing biodiversity valuation in Danish socio-economic analyses and green transition strategies. Earlier work (2016-2019) established methodological innovations in choice experiment reliability using eye-tracking, with applications to water quality and agricultural land management. All research consistently applies discrete choice modeling to environmental valuation within Danish ecosystems. Scientific Awards: No specific awards documented in source materials. Advising and Grants: While no advisees are listed, collaborative patterns indicate active engagement with senior researchers (e.g., Jacobsen, Olsen, Lundhede). His 2024 newspaper contribution with 25 co-authors across environmental disciplines suggests participation in large-scale policy initiatives, though specific grant funding isn't detailed. Research Environment: Uggeldahl operates within the Section for Environment and Natural Resources at IFRO (Institute of Food and Resource Economics), focusing on empirical environmental valuation methods. His work connects closely with Danish environmental agencies through applied policy analysis in biodiversity conservation and water resource management.
Jonas Slaathaug Hansen is a Postdoctoral Researcher (Research Fellow) at the Department of Economics, University of Copenhagen, specializing in Empirical Industrial Organization and International Trade with a focus on automobile industry dynamics and firm-to-firm trade networks. His research investigates market competition, supply chain shock transmission, and secondary market interactions through structural modeling of consumer behavior and firm linkages. Utilizing Danish-Swedish register data, he examines how superstar firm relationships drive productivity spillovers and how dynamic demand models capture nuanced substitution patterns in durable goods markets. Recent publications analyze secondary market effects on automotive market power, comparative performance of discrete choice demand models under tax reforms, and productivity impacts of supplying multinational superstar firms. These studies advance methodologies for merger analysis, policy evaluation, and understanding cross-border knowledge diffusion in global supply chains.
