David Dillenberger is a Professor of Economics at the University of Pennsylvania's School of Arts and Sciences, Department of Economics. He has been at Penn since 2008, following his PhD from Princeton University. His research focuses on microeconomic theory, particularly decision theory, with an emphasis on non-expected utility models, risk and time preferences, and social preferences. Education: PhD from Princeton University. His work bridges theoretical economics with behavioral insights, addressing topics such as stochastic impatience, mixture aversion, and consensus effects in group decision-making. Research interests include modeling decision-making under uncertainty, time preferences, and social behavior. Notable contributions include studies on time lotteries, stochastic impatience, and the dynamics of subjective information choice. Publications span top journals like the American Economic Review, Econometrica, and Theoretical Economics, reflecting a focus on foundational questions in economic theory. His recent work (2023–2024) explores caution in decision-making and allocation mechanisms under aversion to mixture outcomes. No scientific awards are listed, though his extensive publication record indicates significant scholarly impact. Teaching includes courses on strategic reasoning and fairness/altruism in the PPE program. Advising and grants: Details not provided in available texts. Active participation in interdisciplinary research through affiliations like the Penn SoNG (Social Norms and Behavioral Dynamics) initiative. Labs/Teams: Affiliated with the Department of Economics and the Master of Behavioral and Decision Sciences program at UPenn.
Tomasz Strzalecki is a Professor in the Department of Economics at Harvard University. His research centers on decision theory, with a focus on ambiguity aversion , temporal preferences , stochastic choice , and bounded rationality . He earned his PhD in Economics from Northwestern University in 2008. Education: PhD in Economics (2008), Northwestern University His scholarly work spans theoretical and applied economics, including key contributions to random utility models , dynamic decision-making , and neuroeconomic modeling . Recent publications, such as Stochastic Choice Theory (2025) and Variational Bayes and non-Bayesian Updating (2024), reflect his ongoing exploration of Bayesian inference and behavioral deviations. Earlier work in Econometrica and American Economic Review established foundational models for choice aversion , time inconsistency , and ambiguity evaluation . Tomasz’s research has been published in top journals like Econometrica , American Economic Review , and Proceedings of the National Academy of Sciences , covering themes such as probabilistic sophistication , decision timing , and collective action in development economics. His co-authors include prominent economists like Drew Fudenberg, Mira Frick, and Larry Epstein.
John Leahy is the Allen Sinai Professor of Macroeconomics and Public Policy at the University of Michigan, holding dual appointments in the Department of Economics (College of Literature, Science, and the Arts) and the Gerald R. Ford School of Public Policy. As Chair of the Economics Department, he focuses on macroeconomic theory, monetary policy, and behavioral economics, particularly rational inattention models. His research emphasizes how cognitive limitations and information processing affect economic decisions, contrasting classical economic assumptions. Leahy has held positions at Harvard, NYU, and Boston University, and served as Coeditor of the American Economic Review and Editor of the American Economic Journal: Macroeconomics. He consults with Federal Reserve Banks, advocating for data-driven, question-first research methodologies. His work bridges theoretical rigor and practical applications, influencing policy analysis and academic discourse. Education: PhD in Macroeconomics from Princeton University; MSFS from Georgetown University; BA in Math and History. His research spans macroeconomic policy, structural change, and behavioral models of decision-making, with recent focus on wishful thinking and imperfect information processing. He collaborates widely, emphasizing interdisciplinary approaches and creative problem-solving. Key contributions include modeling rational inattention, analyzing age structure impacts on monetary policy, and exploring North-South economic disparities. His editorial leadership and academic mentorship reflect his commitment to advancing innovative economic inquiry.
Tommaso Denti is an Assistant Professor of Economics at the Leonard N. Stern School of Business, New York University, joining in 2023. Prior to NYU, he held academic positions at Cornell University as an Assistant Professor and was a Postdoctoral Research Associate at Princeton University, reflecting a strong academic trajectory in economic theory. His educational background includes a PhD in Economics from the Massachusetts Institute of Technology, and both an MSc and BA in Economics and Social Sciences from Bocconi University. Tommaso Denti's research focuses on information economics and decision-making under uncertainty . His work explores how agents acquire, process, and use information in complex environments, particularly motivated by challenges in the digital economy. Key areas include rational inattention models in strategic settings, with applications to labor market discrimination, online advertising, and communication. His theoretical research intersects decision theory, game theory, and microeconomic theory. His recent work trends toward formal modeling of information acquisition and strategic behavior, suggesting deep engagement with theoretical and behavioral aspects of economics. Though no specific publications are listed, the described research directions indicate contributions to foundational economic theory with real-world implications in digital markets and organizational communication. PhD, Economics – Massachusetts Institute of Technology MSc, Economics and Social Sciences – Bocconi University BA, Economics and Social Sciences – Bocconi University Tommaso Denti has built his academic career across top-tier institutions, including Princeton, Cornell, and NYU. His research is supported by his postdoctoral and faculty appointments, suggesting active grant or institutional funding, though specific grants are not mentioned. He has not listed any advisees in the provided material, but as a junior faculty member, he is likely beginning to supervise students. His interdisciplinary expertise spans economics, decision science, and information systems. He is affiliated with the Department of Economics at NYU Stern, which emphasizes theoretical and applied research in microeconomic theory, game theory, and information economics—aligning closely with his research profile. No specific labs or research teams are mentioned, but his work likely involves collaboration within the economics and operations research groups at Stern and beyond.
Andrew Ellis is an Associate Professor of Economics at the London School of Economics and Political Science (LSE), Department of Economics. He is also a Theory Group Associate at STICERD. His research focuses on Microeconomic Theory, Decision Theory, and Political Economy, with particular emphasis on bounded rationality and ambiguity aversion. Ellis holds a PhD in Economics from Boston University (2013) and a BA in Mathematics and Economics from the University of North Carolina-Chapel Hill. Ellis' educational background includes: PhD in Economics, Boston University, 2013 BA in Mathematics and Economics, University of North Carolina-Chapel Hill His research interests span: Microeconomic Theory Decision Theory, focusing on bounded rationality and ambiguity aversion Game Theory and its applications Political Economy Optimal Inattention and Information Processing Correlation Misperception and Subjective Causality Ellis' recent work explores topics such as choice bracketing, optimal inattention, and the effects of diverse beliefs in financial markets. His research often combines theoretical models with experimental insights, examining how decision-makers perceive and respond to uncertainty and correlation. Key contributions include analyzing strategic voting under ambiguity, equilibrium securitization, and the dynamics of research methodologies in economics. Andrew Ellis has not been noted to have received any scientific awards or fellowships in the provided information. Ellis does not list any advisees or specific grants in the provided information. He is affiliated with the STICERD Theory Group at LSE, contributing to its research activities in economic theory.
Alexandre Kohlhas is a University of Oxford Associate Professor in the Department of Economics and a William R Miller Fellow at St Edmund Hall . Previously an Assistant Professor at Stockholm University's Institute for International Economic Studies, his research bridges macroeconomics , monetary policy , and information economics with a focus on expectation formation and uncertainty. Doctorate from Pembroke College, University of Cambridge His work explores economic uncertainty and information asymmetry , analyzing how heterogeneous expectations and asymmetric attention shape macroeconomic outcomes. Recent publications examine data-driven macroeconomic modeling , wealth heterogeneity , and higher-order beliefs in monetary policy contexts. Key research trends include expectation formation in uncertain environments, monetary transmission mechanisms , and information aggregation in markets. His 14 most recent articles demonstrate consistent engagement with theoretical and applied macroeconomics through behavioral and informational lenses. William R Miller Fellow Tutorial Fellow in Economics Governing Body Fellow Reach Alexandre via email for academic collaboration or supervision inquiries.
Yuriy Gorodnichenko serves as the Quantedge Presidential Professor in the Department of Economics at the University of California, Berkeley since 2018. His extensive academic affiliations include being a Faculty Research Associate at the National Bureau of Economic Research (2014-present), Research Fellow at the Institute for the Study of Labor (2007-present), International Fellow at the Kiel Institute for the World Economy (2011-present), and Research Consultant for both the European Central Bank (2018-present) and European Investment Bank (2017-present). He also serves as Editor of the Journal of Monetary Economics (2018-present) and Member of the Executive Committee of the Association for Comparative Economic Studies (2019-present). Education: Ph.D., Economics, University of Michigan, 2007 M.A., Statistics, University of Michigan, 2004 M.A., Economics (high honors; valedictorian), Economics Education and Research Consortium at National University of Kyiv-Mohyla Academy, Kiev, Ukraine, 2001 B.A., Economics (honors; valedictorian), National University of Kyiv-Mohyla Academy, Kiev, Ukraine, 1999 Gorodnichenko's research spans multiple subfields of economics with particular emphasis on monetary economics, public finance, international economics, and macroeconomics . His scholarly approach typically combines both macroeconomic and microeconomic data with rigorous theoretical and statistical analyses. His work is organized into five major categories: monetary economics, aggregate implications of informational frictions, business cycles, development/productivity/income differences, and inequality. As an applied macroeconomist, he frequently bridges methodological approaches across different economic subdisciplines. His publication record demonstrates consistent high-impact research across top economics journals including American Economic Review, Journal of Political Economy, and Review of Economic Studies. The trajectory of his work shows increasing focus on the microfoundations of macroeconomic phenomena, particularly how information frictions affect economic behavior and policy transmission mechanisms. His recent publications have increasingly addressed the distributional consequences of monetary policy and the role of cultural factors in economic development. Scientific Awards and Honors: Fellow, Econometric Society (2021) Highly Cited Researcher, Clarivate (2021) Distinguished Teaching Award, Social Science Division, UC Berkeley (2020) World Junior Prize in Monetary Economics and Finance (2018) NSF CAREER award (2012) Sloan Research Fellowship (2013) Multiple #1 rankings among young economists by RePEc (2014-2021) Best paper award, American Economic Journal: Economic Policy (2015) Gorodnichenko has received consistent recognition for his teaching and advising from UC Berkeley's Economics Department, including multiple runner-up positions and a win for the Best Advisor Award (2014). His research has been supported by prestigious grants including the NSF CAREER award and Sloan Research Fellowship. His impact metrics are substantial with over 19,000 citations and an h-index of 54, reflecting significant influence in the economics profession. While the scraped text doesn't specify dedicated research laboratories, Gorodnichenko maintains active research collaborations through his affiliations with major economic research institutions including NBER, IZA, and Kiel Institute. His editorial roles at leading journals position him at the center of contemporary macroeconomic research discourse.
Manon Jones is a Professor in Psychology and Director of Research at Bangor University's School of Psychology and Sport Science. She directs the Miles Dyslexia Centre, a research hub providing assessment services and professional development for practitioners, and leads the RILL project—a bilingual literacy program for primary schools funded by UKRI, Nuffield Foundation, and Welsh Government. Her research explores cognitive and neurocognitive foundations of reading, dyslexia, and bilingualism. Key themes include: Cross-modal learning in dyslexia Orthographic processing across languages Remote literacy instruction efficacy Neurodivergent cognition models Syntax acquisition in bilinguals Analysis of her 15 most recent publications (2014–2025) reveals dominant foci on dyslexia mechanisms (9 papers), bilingual language processing (7 papers), and literacy intervention design (4 papers). Methodologies include eye-tracking, ERP, and randomized controlled trials, with increasing emphasis on computational modeling since 2021. She leads multiple grants including: RILL randomized control trial (Welsh Government, 2022–2026) Welsh literacy scale-up project (2024–2025) Neurodevelopmental disorder screening tool development (2022–2023) COVID-19 remote teaching research (2020–2022) She directs the Reading Brain lab and collaborates with NHS services to translate research into clinical/educational practice.
Mogens Fosgerau is a Professor at the Department of Economics, University of Copenhagen, with a research focus on discrete choice theory, rational inattention, transportation and urban economics, congestion modeling, and entropy-based frameworks. He has held an ERC Advanced Grant (2017-2023) and completed a Grand Solutions project for the Innovation Fund Denmark (2016-20). Education: Mathematical Economics (Aarhus University, 1990), PhD in Mathematics (University College London, 1992). Current affiliations: Department of Economics (University of Copenhagen), Faculty of Social Sciences. Former roles: Guest Professor at DTU (2022-2023), member of the Commission for Green Transition of Passenger Cars (2019-2021). His research explores the intersection of information theory and discrete choice models, addressing complex substitution patterns and endogeneity issues through generalized entropy frameworks. He applies these models to transportation planning, urban economics, and climate policy analysis. Recent publications focus on perturbed utility models, inverse product differentiation logit, and rational inattention in spatial choice contexts. His work bridges theoretical econometrics with practical transport and environmental policy challenges. Awards: Recipient of the 2021 Transportation Science Meritorious Service Award. Former Editor-in-Chief of Economics of Transportation (2012-2020). Advising and Grants: Leads research projects funded by the European Research Council and Innovation Fund Denmark. Has participated in policy committees including the Danish Environmental Economic Council (2019-2025) and the Committee on Public Transport Mobility (2023-24).
Ricardo Reis serves as the A. W. Phillips Professor of Economics at the London School of Economics and Political Science (LSE) within the Department of Economics. His academic work spans multiple institutions as he participates in research networks including the National Bureau of Economic Research (NBER), Centre for Economic Policy Research (CEPR), and Columbia University. Reis is a prominent macroeconomist specializing in the intersection of macroeconomics with finance, international economics, and applied econometrics. His research focuses on the dynamics of inflation and its expectations, central bank balance sheets and liquidity programs, sticky information and rational inattention models, automatic fiscal stabilizers, and the internationalization of the Chinese renminbi (RMB). His theoretical contributions include developing the sticky information framework that has become influential in understanding how information dissemination affects economic decisions and policy transmission. His recent publications demonstrate a continued focus on monetary policy challenges, inflation dynamics, and central banking in the post-financial crisis era. Reis frequently contributes to policy discussions through comments on papers presented at NBER conferences and serves as an academic consultant for numerous central banks worldwide. His research combines theoretical innovation with practical policy relevance, particularly in understanding how central banks can maintain price stability amid economic shocks and fiscal challenges. Reis maintains active engagement with policy institutions globally, having served as an academic consultant or lecturer at the Bank of England, Central Bank of Brasil, Federal Reserve Banks (Minneapolis, New York, Richmond), Norges Bank, and the Swiss National Bank. He has also contributed to policy discussions through the Brookings Papers on Economic Activity and various international conferences.
Professor Patrick Minford is a distinguished academic specializing in macroeconomics and trade modeling at Cardiff Business School, Cardiff University. With a prolific research career spanning several decades, he has established himself as a leading expert in dynamic stochastic general equilibrium (DSGE) modeling and macroeconomic policy analysis. His work frequently addresses contemporary economic challenges including Brexit impacts, monetary policy frameworks, and international trade dynamics. Minford's research interests focus on macroeconomic and trade modeling, with particular emphasis on the application of DSGE models to real-world policy questions. His work consistently bridges theoretical economic frameworks with practical policy implications, examining how monetary and fiscal policies affect economies in both closed and open contexts. Recent research has expanded to include analysis of pandemic economic impacts, Brexit consequences, and the evaluation of alternative monetary policy frameworks including Modern Monetary Theory. His extensive publication record demonstrates consistent contributions to top economic journals including Journal of International Money and Finance, Open Economies Review, and Applied Economics. Minford's methodological expertise in indirect inference techniques for model validation has been particularly influential in the field of applied macroeconomics. His research often involves international collaborations, reflecting the global nature of contemporary economic challenges. As an educator, Minford teaches macroeconomics to MSc and PhD students at Cardiff Business School and is available for postgraduate supervision. His teaching complements his research focus, ensuring students receive cutting-edge instruction in macroeconomic modeling and policy analysis.
Zach Brown is an Assistant Professor of Economics at the University of Michigan and a Faculty Research Fellow at the National Bureau of Economic Research. His research focuses on empirical industrial organization and applied microeconomics, particularly examining healthcare markets, information frictions, and policy implications. He holds a Ph.D. in Economics from Columbia University (2017) and completed a postdoctoral fellowship at the National Bureau of Economic Research (2017–18), funded by the National Institute of Aging. Previously, he served as a Staff Economist at the White House Council of Economic Advisers. His teaching includes undergraduate courses such as Antitrust and Regulation and graduate-level Industrial Organization II . Research interests span health economics, market structure, pricing algorithms, and healthcare policy. Recent work includes studies on pricing dynamics in digital markets, hospital payment caps in Oregon, and disparities in healthcare access. Education: Ph.D., Columbia University (2017); B.A. in Economics and Physics, University of California, Berkeley (2007) Funding: Postdoctoral support from NSF and NIA Professional Roles: Faculty Research Fellow at NBER Zach’s awards include the 2025 AEJ Best Paper Award for Competition in Pricing Algorithms , which explores how algorithmic pricing strategies affect market dynamics. His research frequently bridges theoretical models with real-world policy applications, emphasizing evidence-based solutions for complex market challenges.
Rakesh V. Vohra is the George A. Weiss and Lydia Bravo Weiss University Professor at the University of Pennsylvania, holding primary appointments in the departments of Computer and Information Science, Economics, and Electrical and Systems Engineering. He co-directs the Warren Center for Network and Data Sciences. His research spans game theory, market design, auction theory, and computational economics, with a focus on mechanism design, spectrum markets, and systemic risk in financial networks. He explores interdisciplinary topics such as NFTs, blockchain applications, and algorithmic fairness in healthcare equity. His work integrates economic theory with computational methods, addressing challenges in resource allocation, strategic behavior, and network dynamics. Recent studies analyze optimal bailouts in financial systems, sequential information acquisition, and the implications of unlicensed spectrum policies on wireless competition. He also investigates behavioral aspects of decision-making under uncertainty and the design of robust economic systems. Notable contributions include foundational work on combinatorial auctions, stable matching mechanisms under constraints, and the role of network effects in market stability. Though no formal awards are listed, his prolific publication record reflects significant academic influence across multiple disciplines.
Professor Joshy Easaw is a Professor of Economics at Cardiff Business School, Cardiff University, where he joined in October 2014 after holding permanent appointments at Bath and Swansea Universities. He is currently a Visiting Professor at the Department of Economics, University of Bologna, Italy, and serves as the decolonisation of curriculum and research lead for the CARBS Race Equality Committee, which he helped found. His research spans macroeconomics, political economy, and development economics, with specific focus on bounded rationality , microfoundations of household expectations , professional forecasters' inattentiveness , and the interaction between economic and political institutions . His work examines how households form expectations about macroeconomic variables, how voters perceive policy competence, and the relationship between democracy, institutions, and economic growth in developing economies. Easaw's recent publications reveal strong trends in uncertainty modeling, household expectation formation, and historical economic analysis, particularly regarding the long-term impacts of the transatlantic slave trade. His methodological approaches combine theoretical modeling with empirical analysis using household surveys and professional forecast data. Leverhulme Trusts Research Fellowship (2007-2008) for research on 'Microfoundations of how households form subjective macroeconomic expectations: The role of news' Professor Easaw has successfully supervised nine PhD students whose careers span academia (including positions at the University of Manchester, Taiwan, and China) and international institutions (World Bank). His research has been supported by various grants, though specific current funding isn't detailed in the provided text. He actively contributes to the academic community as a member of the Royal Economic Society and has previously been a member of the American Economic Association and Econometric Society. His scholarly work spans multiple research teams and collaborations, with recent projects examining uncertainty spillovers in the euro area, the impact of the transatlantic slave trade on contemporary institutions, and innovative approaches to election forecasting using ensemble methods.
Karthik Sastry is an Assistant Professor of Economics and Public Affairs at Princeton University, affiliated with the Department of Economics and the School for Public and International Affairs. He holds a PhD in Economics from MIT (2022) and was a Prize Fellow in Economics, History, and Politics at Harvard University (2022-23). His research focuses on macroeconomics, particularly the role of bounded rationality, social dynamics, and climate policy in shaping economic fluctuations. He is a Faculty Research Fellow at the National Bureau of Economic Research, contributing to studies on economic fluctuations and environmental economics. His work explores how narratives influence economic behavior and policy, as highlighted in his collaboration with Joel P. Flynn on 'The Macroeconomics of Narratives,' published in the IMF’s Finance & Development. Key publications include analyses of climate adaptation, monetary policy disagreements, and technological adoption in global agriculture. His research has been featured in outlets like the Harvard Gazette and Nature Climate Change. Scientific recognition includes his NBER affiliation and Harvard fellowship. Advising and grants are not explicitly listed, but his collaborative work suggests active engagement with graduate students and interdisciplinary projects. His research lab likely focuses on behavioral and narrative-driven macroeconomic modeling.
