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Peter NilssonView profile

Professor

Stockholm UniversitySweden

Peter Nilsson is a Professor of Economics at the Institute for International Economic Studies (IIES) , Stockholm University. He also holds a guest professorship at Linnaeus University and serves as a research fellow at IFAU , Uppsala Center for Labor Studies , CESifo , and CEPR . Previously, he was a postdoctoral fellow at Stanford University and obtained his PhD from Uppsala University (2010). Research Focus: His work bridges Labor Economics , Health Economics , and Environmental Economics , analyzing how early-life exposures (alcohol, lead), workplace dynamics, and policy interventions (unemployment insurance, congestion pricing) shape long-term socioeconomic outcomes. Key themes include Environmental Health Impacts on Cognition and Crime Labor Market Responses to Insurance Policies Peer Effects in Workplace Behavior Policy Design for Social Equity Scientific Awards: Nilsson has been recognized through research fellowships at leading institutions and editorial roles, including Associate Editor at The Economic Journal since 2021. His work has been featured in American Economic Review , Journal of Political Economy , and NBER platforms. Key Contributions: He provided testimony for Connecticut’s HB-5045 to reduce childhood lead exposure and contributed to Sweden’s Corona Commission report on pandemic responses. His empirical methods combine natural experiments with administrative datasets to identify causal relationships in health, labor, and environmental economics.

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Pierre-Philippe CombesView profile

Research Professor

Sciences PoFrance

Pierre-Philippe Combes is a CNRS Research Professor and Head of Doctoral Studies in Economics at Sciences Po since 2021. He also serves as Co-Editor of the Journal of Urban Economics and Director of Graduate Programs in Economics at Sciences Po. Previously, he held positions at Aix-Marseille University (2003-2016), Boston University (2001-2003), and CERAS-École des Ponts et Chaussées (1998-2001). He holds a PhD in Economics from CREST (Paris School of Economics). Education PhD in Economics, Paris School of Economics (CREST), 1996 Habilitation à Diriger des Recherches (HDR), Aix-Marseille University, 2004 Research Interests : Urban economics and economic geography, focusing on local labor markets, housing markets, firm and household location choices, and resulting spatial disparities. His work uses machine learning for historical data recovery and examines agglomeration economies, migration externalities, and discrimination in urban contexts. Scientific Output Trends : Recent publications analyze urbanization in Sub-Saharan Africa, agglomeration economies, real income inequality in China, and historical land use through machine learning. Collaborative work spans France, China, and international institutions, addressing housing costs, peer effects in research, and urban poverty metrics. Scientific Awards : NATO Advanced Fellowship Grant (2001-2002) PhD Thesis Award - Association Française de Science Économique (AFSE) PhD Thesis Award - Association de Science Régionale de Langue Française (ASRDLF) Mention très honorable avec félicitations du jury (PhD thesis) Teaching & Editorial Roles : Teaches urban economics at Sciences Po and ENS Lyon. Serves on editorial boards of the Journal of Economic Geography , Regional Science and Urban Economics , and Journal of Urban Economics . Participates in evaluation committees for PhDs and habilitations across Europe. Policy Contributions : Advises on urban poverty measurement for the World Bank and contributes to French regional policy reports, including the Grand Paris Express project and CNIS (National Statistical Council).

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Tetsuya OgataView profile

Professor

Waseda UniversityJapan

Tetsuya Ogata is a Professor at the Faculty of Science and Engineering, School of Fundamental Science and Engineering at Waseda University. He also holds joint appointments as a Fellow at the Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), and as a visiting professor at the National Institute of Informatics (NII). Professor Ogata serves as director of the Institute of AI and Robotics at Waseda University, chairperson of the AI Robot Association (AIRoA), and research supervisor of JST CREST "Fundamentals and Core Technologies for Embodied AI" since 2025. Professor Ogata received his B.S., M.S., and D.E. degrees in mechanical engineering from Waseda University in 1993, 1995, and 2000, respectively. He began his academic career as a Research Associate at Waseda University (1999-2001), followed by positions as a Research Scientist at RIKEN Brain Science Institute (2001-2003), Lecturer (2003-2005) and Associate Professor (2005-2012) at Kyoto University's Graduate School of Informatics, before becoming a Professor at Waseda University in 2012. He was also a JST PRESTO Researcher from 2009 to 2015. Professor Ogata's research focuses on cognitive developmental robotics, deep predictive learning, and the integration of vision, language, and action (VLA) for human-robot interaction. His work explores how robots can learn through experience and interaction with humans and environments, developing models that allow for flexible behavior generation and adaptation. His research has significant implications for creating robots that can understand human intentions, collaborate effectively in real-world settings, and continuously learn from their experiences. The integration of multimodal information processing with predictive models forms the core of his approach to embodied artificial intelligence. Analysis of Professor Ogata's recent publications reveals a strong focus on deep predictive learning frameworks that enable robots to anticipate future states and generate appropriate actions. His research spans multiple domains including soft object manipulation, bimanual coordination, transparent object grasping, and integration of large language models with robotic systems. A notable trend is the increasing emphasis on multimodal integration, combining visual, tactile, and linguistic information to create more robust and adaptable robotic systems. His recent work also shows growing interest in the application of foundation models to robotics, aiming to create more general-purpose robotic capabilities. Best Paper Award, Advanced Robotics, The Robotics Society of Japan (2024) Best paper award Nomination Finalist, IEEE/SICE International Symposium on System Integration (2024) Frontiers of Science Awards, The International Congress for Basic Science (2023) Minister of Education, Culture, Sports, Science and Technology Award (2023) Fellow, Japan Society of Mechanical Engineering (2023) Fellow, The Society of Instrument and Control Engineers (2022) Fellow, The Robotics Society of Japan (2022) IBM Academic Awards (2017) Professor Ogata has been instrumental in establishing collaborative research frameworks between academia and industry, serving in leadership roles for multiple professional organizations including the Robotics Society of Japan, Japanese Society for Artificial Intelligence, and Japan Deep Learning Association. His research has been supported by significant grants including JST CREST funding for "Fundamentals and Core Technologies for Embodied AI." He has mentored numerous researchers who have gone on to contribute to the field of robotics and AI, with many of his former students now holding positions in leading academic and industrial research institutions. Professor Ogata directs the Ogata Laboratory at Waseda University, which focuses on cognitive developmental robotics and deep predictive learning. The lab maintains strong collaborations with industry partners including major robotics companies and technology firms. In 2025, he played a key role in establishing the AI Robot Association (AIRoA), which brings together companies like Toyota, Nissan, and KDDI to advance the development of practical AI robotics technologies. His research group is known for its interdisciplinary approach, combining insights from neuroscience, cognitive science, and engineering to create more human-like robotic capabilities.

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Asaf BernsteinView profile

Associate Professor

University of ColoradoUnited States

Asaf Bernstein is an Associate Professor of Finance at the University of Colorado Boulder’s Leeds School of Business, a Faculty Scholar, Co-Director of the Center for Research on Consumer Financial Decision Making, and a Research Associate at the National Bureau of Economic Research. He earned his Ph.D. in Financial Economics from MIT in 2016 and served as Senior Academic Advisor on Climate Issues to the U.S. Securities and Exchange Commission during 2021-22. Education: Ph.D. Financial Economics, Massachusetts Institute of Technology, 2016 B.S. Economics & Mathematics, Harvey Mudd College Research Focus: Bernstein’s work lies at the intersection of policy and finance, using plausibly identified empirical designs to study financial regulation, climate risk, household balance-sheet dynamics, and the real effects of credit markets. His current agenda spans macro-prudential policy, public-pension wealth transmission, historical introduction of credit ratings, and partisan sorting under climate change. Publication Trends: Across more than a dozen forthcoming or published papers, Bernstein consistently exploits natural experiments—regulatory shocks, historical clearinghouses, Dutch amortization reform, Great-Depression bank distress, SLR exposure—to quantify how financial frictions affect prices, allocations, and innovation. The corpus maps broadly onto household finance, corporate finance, and climate-finance fields, with frequent overlap in real-estate and financial-history contexts. Honors & Awards: 2019 AQR Insight Distinguished Paper Award 2016 AQR Top Finance Graduate Award (global top-six PhD honor) 2022 Brattle Group Distinguished Paper Prize, Journal of Finance 2018 Northern Finance Association Best Paper in Risk Management Kahle Family Research Award Grants & Advising: While specific grant amounts are not disclosed, his projects have been supported by data access from Dutch administrative panels, U.S. credit-bureau micro-data, and historical securities archives. He advises PhD students in empirical finance and climate-economics and collaborates extensively across Leeds, NBER, MIT, and Stanford networks. Centers & Labs: Bernstein co-leads the Center for Research on Consumer Financial Decision Making at Leeds, an interdisciplinary lab linking finance, real-estate, and public-policy scholars to external regulatory partners including the SEC, Federal Reserve, and FINRA.

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Jan EeckhoutView profile

Research Professor

Pompeu Fabra UniversitySpain

Jan Eeckhout is an ICREA Research Professor at Pompeu Fabra University (UPF) in Barcelona, specializing in macroeconomic theory, labor markets, and urban economics. His work focuses on market power dynamics, wage inequality, and technological impacts on labor and urban systems. He holds a PhD from the London School of Economics (LSE). Eeckhout has received a prestigious ERC Advanced Grant (€2.45M) for research on 'Macro Market Power and Distribution.' He authored the influential book The Profit Paradox (2021), exploring how dominant firms reshape labor markets and economies, translated into multiple languages. His research frequently appears in top journals like the Quarterly Journal of Economics and Review of Economic Studies. Research Interests: Macro-Labor Theory, Labor Markets, Urban Economics, Market Power, and Economic Inequality. Recent work examines technological origins of labor market stagnation, IT-driven urban polarization, and wealth effects on worker productivity. Advising and Grants: Supervises PhD students (e.g., Milena Djourelova, David Puig) and collaborates with institutions globally (CEMFI, EUI, Sciences Po). His team includes co-authors like Jan De Loecker and Philipp Kircher. Active in policy discussions via think tanks and media outlets like VoxEU and the NYT. Labs/Teams: Leads a diverse research group at UPF, with projects on market power, urban economics, and labor dynamics.

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Andreas GulyasView profile

Assistant Professor

University of MannheimGermany

Prof. Andreas Gulyas is an Assistant Professor of Macroeconomics at the Department of Economics, University of Mannheim, and a research affiliate at IZA. He holds a Ph.D. from UCLA and a M.Sc. from the University of Vienna. His research focuses on Macroeconomics, Labor Economics, Search Theory, and Machine Learning applications in economics. Education: Ph.D. in Economics, UCLA, Los Angeles, USA M.Sc. in Economics, University of Vienna, Austria Research Interests: Gulyas examines labor market dynamics, monetary policy impacts, wage transparency, and the consequences of job displacement. His work combines theoretical models with empirical analysis, often employing field experiments and machine learning techniques to explore labor market inefficiencies and policy implications. Notable areas include cross-country comparisons of economic inequality and pandemic-induced unemployment effects. Articles Trends: His recent work emphasizes labor market policies, wage structures, and macroeconomic shocks. Key themes include the role of fringe benefits in job search behavior, monetary policy's heterogeneous effects, and pandemic-related unemployment disparities. Machine learning is increasingly used to analyze heterogeneous outcomes in displacement scenarios. Awards: No scientific awards listed. Advising/Grants: No advising records or grant information provided in available texts. His current research is likely supported through institutional funding and affiliations like IZA. Labs/Teams: Affiliated with the AEE Seminar at Mannheim, contributing to collaborative economics research initiatives.

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Zhiwen Jonathan ZhangView profile

Associate Professor

Santa Clara UniversityUnited States

Dr. Zhiwen Jonathan Zhang serves as Associate Professor in the Department of Bioengineering at Santa Clara University's School of Engineering since 2011, with research spanning biomolecular engineering, drug discovery, and BIOAI to combat super-bacterial infections and advance precision protein technologies. Education: Ph.D. in Chemistry and Biochemistry, University of Texas at Austin (2001) Postdoctoral Research, The Scripps Research Institute (2001-2004) His interdisciplinary research pioneers unnatural genetic codes, trM2H systems, site-specific protein cross-linking, and synthetic antibodies. Current focus includes mitochondrial peptide transport, BIOAI design, subcellular protein synthesis, and engineering bacteria for micro-plastics degradation. His lab unraveled molecular dialogues between mammalian and Gram-positive bacterial cells, enabling groundbreaking anti-infective therapies. Publication trends reveal consistent innovation in protein engineering and translational bioengineering, with recent work emphasizing sortase A applications, fluorescent peptide development, and unnatural amino acid incorporation in mammalian systems—demonstrating a trajectory from fundamental biochemistry to industry-ready biotech platforms. Dr. Zhang has mentored 7 post-doctoral researchers, 2 visiting professors, and 5 Ph.D. students while securing grants from NIH NCI R01, NSF SBIR, American Heart Association, Welch Foundation, JOINN Foundation, IBM, and SCU Internal Research. His patented "Biotech+Techbio" platform has co-founded multiple biotech ventures, including two publicly traded companies and a 2024 acquisition. His laboratory maintains active collaborations with Bay Area biotech firms and academic institutions, driving translational research through the patented Biotech+Techbio platform while advancing BIOAI-assisted enzyme discovery for micro-plastics degradation and next-generation antibacterial therapies.

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Gabor ViragView profile

Associate Professor

University of TorontoCanada

Gabor Virag is an Associate Professor of Economic Policy Analysis at the University of Toronto, Mississauga , with a cross-appointment to the Rotman School of Management . He serves as the PhD Coordinator for the Economic Analysis and Policy area. His research focuses on market dynamics, auction theory, and search theory, with a particular interest in decentralized market interactions and information policy. Education : PhD in Economics from Princeton University, MA from Central European University, BA from Budapest University of Technology and Economics. Research Interests : Economic Theory, Industrial Organization, Game Theory, and their applications to dynamic contests, patent markets, and labor economics. Publications : His work appears in top-tier journals such as the American Economic Journal, Games and Economic Behavior, and Review of Economic Studies, emphasizing auctions with resale, innovation prizes, and wage inequality. Collaborations : Co-author of studies with scholars from Bocconi University, Claremont McKenna College, and the Hungarian Academy of Sciences.

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B. Pablo MontagnesView profile

Associate Professor

Emory UniversityUnited States

B. Pablo Montagnes is an Associate Professor of Political Science and Quantitative Theory and Methods at Emory University. He holds a Ph.D. in Managerial Economics and Strategy from the Kellogg School of Management, Northwestern University (2010). Before joining Emory in 2015, he was an Assistant Professor at the Harris School of Public Policy, University of Chicago. His research focuses on formal political theory and political economy, with a particular emphasis on strategic behavior in legislative settings, regulatory policy, and public opinion dynamics. Key topics include partisan approval rates, legislative bargaining, and the design of organizational and market mechanisms. Montagnes has published in leading journals such as the Journal of Politics , American Economic Review , and Proceedings of the National Academy of Sciences (PNAS) . Education: Ph.D. in Managerial Economics and Strategy, Kellogg School of Management, Northwestern University (2010) Previous Affiliation: Harris School of Public Policy, University of Chicago (Assistant Professor) Teaching: QTM 110 (Scientific Methods), QTM 315 (Game Theory) Montagnes’ work addresses questions like how regulatory uncertainty affects firm investment, the strategic implications of sequential voting in legislatures, and the reliability of survey-based partisan approval metrics. His recent projects explore polarization incentives, internal labor markets, and the role of lobbyists in policy gatekeeping. He currently holds an office at 311 Tarbutton Hall, Emory University, and can be contacted via email . No awards are explicitly listed in the provided materials.

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Aydogan AltiView profile

Associate Professor

University of Texas at AustinUnited States

Aydogan Alti serves as an Associate Professor of Finance within the Department of Finance at the McCombs School of Business, University of Texas at Austin. His academic career centers on empirical and theoretical research in corporate finance and asset pricing, with particular expertise in market timing phenomena, institutional investor behavior, and characteristic-based return predictability. Alti's research program explores the intersection of behavioral finance and market microstructure, investigating how investor beliefs influence asset prices and corporate financing decisions. His work frequently employs structural modeling approaches to analyze IPO market timing, equity issuance triggers, and the persistence of market timing effects on capital structure. Key contributions include demonstrating how firms strategically time security offerings based on stock return patterns and identifying mechanisms behind institutional investors' return-chasing behavior. Analysis of his publication record reveals a consistent focus on empirical finance with strong methodological rigor. His papers predominantly examine cross-sectional return predictability, market anomalies, and the real effects of financial market conditions on corporate policies. Alti frequently collaborates with leading scholars such as Sheridan Titman and Paul Tetlock, producing influential work in premier finance journals. His scientific recognition includes the prestigious 2022 Q-Group Jack Treynor Prize and the Brattle Prize for Distinguished Paper in the Journal of Finance (awarded twice for separate publications). These awards highlight his contributions to understanding characteristic-based return predictability and corporate financing decisions. While details about student advisement and research grants are not provided in the source material, Alti's active publication record suggests ongoing supervision of graduate researchers. His current working papers indicate continued investigation into informed intermediation in IPO markets and characteristic-sorted portfolio performance.

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Giuseppe MoscariniView profile

Professor

Yale UniversityUnited States

Giuseppe Moscarini is the Philip Golden Bartlett Professor of Economics at Yale University and a Research Associate at the National Bureau of Economic Research (NBER). He co-chairs the Micro and Macroeconomic Perspectives on the Aggregate Labor Market working group at NBER and serves as Co-Director of the Research Program in Macroeconomics at the Cowles Foundation. Previously, he held the Henry Kohn Associate Professorship at Yale and was a Sloan Foundation Research Fellow. His research focuses on labor markets, unemployment, wage inequality, and business cycles, with recent work analyzing labor market flows and employer-to-employer transitions. He has developed methodologies to measure and predict wage inflation dynamics, including a novel Phillips curve framework. Education: Ph.D. in Economics from MIT (1996), Laurea in Economia e Commercio from Università di Roma La Sapienza (1991). Research emphasizes theoretical and empirical labor market dynamics, including pricing, monetary policy, and information economics. His work bridges macroeconomic and microeconomic perspectives, with contributions to understanding firm size impacts on job creation and cyclical job ladder dynamics. Articles highlight employer mobility, wage dispersion, and post-recession labor market challenges. Awards: None explicitly listed. Editorial roles include co-Editor of Theoretical Economics and Associate Editor of the Journal of Economic Theory. Grants and lab affiliations include the Cowles Foundation and Federal Reserve Bank collaborations. Advising includes PhD student Francesco Beraldi.

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Marko TerviöView profile

Professor

Aalto UniversityFinland

Marko Terviö is Professor of Economics at Aalto University School of Business, where he teaches intermediate microeconomics and labor economics. He is affiliated with Helsinki GSE (Helsinki Graduate School of Economics), a collaboration between Aalto University, University of Helsinki, and Hanken School of Economics. His research focuses on labor market dynamics, economic inequality, housing economics, and institutional design. Professor Terviö employs theoretical models combined with empirical analysis to address questions about talent markets, wage determination, housing policy, and political economics. His work demonstrates particular expertise in assignment models applied to housing and labor markets, with significant contributions to understanding cognitive ability and earnings, superstar phenomena in labor markets, and housing policy impacts. His publication record spans top economics journals including Review of Economic Studies , American Economic Review , Journal of Political Economy , and Economic Journal . Recent work (2022-2025) shows continued high-impact research in labor economics and housing markets, with publications in European Sociological Review and Economic Journal . His research demonstrates consistent methodological rigor combining theoretical modeling with empirical validation. Professor Terviö has contributed significantly to Finnish economic policy discussions, notably as lead author of the influential 2018 report 'On the transfer of residential plots in Helsinki' for the Aalto Economic Institute. This work provided economic analysis of land allocation practices in Helsinki, examining how residential plots should be priced and allocated to maximize economic efficiency while considering urban development goals.

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Fabien Postel-VinayView profile

Professor

University College LondonUnited Kingdom

Fabien Postel-Vinay is a Professor of Economics at the Department of Economics, University College London (UCL), and concurrently serves as Research Director at the Institute for Fiscal Studies (IFS). His research focuses on labor market dynamics, unemployment, wage determination, and the interplay between economic policies and labor markets. He holds dual affiliations with UCL and IFS, contributing to both academic research and policy analysis. Postel-Vinay’s work emphasizes understanding labor mobility, wage posting mechanisms, and the impact of business cycles on employment. His recent studies address post-pandemic job opportunities, mental health effects on labor trajectories, and structural labor market analysis. He has extensively published on topics such as public versus private sector wage gaps, temporary employment dynamics, and employer-employee matching processes. His research often combines theoretical models with empirical data, focusing on macroeconomic implications of labor market policies. Key themes include the role of age in policy design during crises, the cyclical job ladder dynamics, and the measurement of employer-to-employer reallocation. Despite his prolific output, no scientific awards or grants are explicitly mentioned in the provided text. Postel-Vinay collaborates with institutions like IFS to inform policy through studies on labor market responses to economic shocks, such as the pandemic’s impact on employment structures. His work bridges theoretical microeconomics with applied policy analysis, addressing both academic and societal challenges in labor economics.

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Isaac SorkinView profile

Associate Professor

Stanford UniversityUnited States

Isaac Sorkin is an Associate Professor (with tenure) in the Department of Economics at Stanford University, where he holds additional appointments as Trione Faculty Scholar and Gordon and Dailey Pattee Endowed Faculty Fellow. His primary research examines labor market dynamics, wage determination, and economic inequality. Professor Sorkin's work bridges labor economics and macroeconomics, with specific focus areas including: Labor market frictions and search behavior Firm dynamics and worker reallocation Wage inequality and distributional outcomes Applied econometric methods Policy evaluation of labor market interventions His recent publications demonstrate innovative approaches to measuring market concentration effects on wages, analyzing racial disparities in employment trajectories, and evaluating minimum wage policies. Methodologically, he develops and applies structural models and quasi-experimental designs to address identification challenges in labor economics. Professor Sorkin was recognized as a Sloan Research Fellow in Economics in 2021. He contributes to the field through editorial responsibilities and mentorship of graduate students.

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Carolyn DellerView profile

Assistant Professor

University of PennsylvaniaUnited States

Carolyn Deller serves as Assistant Professor of Accounting at the Wharton School, University of Pennsylvania, where she investigates management control systems including employee selection, incentive plans, and performance evaluation frameworks. Her research employs econometric analysis of within-firm archival data and experimental methodologies to examine how organizations enhance employee motivation and performance potential. Her academic credentials include: DBA in Accounting and Management, Harvard Business School Bachelor of Commerce (Honors), University of Melbourne, Australia Professor Deller's research spans management accounting, control systems, performance measurement, and organizational design within chain organizations. She analyzes how control mechanisms influence employee behavior through both quantitative archival studies and controlled experiments, with particular focus on human capital management systems and their organizational impact. Her published work reveals critical insights into employee management dynamics. The 2023 Journal of Accounting Research article demonstrates that high-potential employees (HiPos) generally exhibit lower departure rates, with the strongest effects among shorter-tenured staff where potential assessments significantly influence early career sorting decisions. The 2020 Accounting Review publication establishes that centralized hiring creates poorer employee-firm matches in retail environments where unit managers possess local knowledge advantages, highlighting context-dependent effectiveness of organizational design choices. Professor Deller's scholarly contributions have earned significant recognition: Management Science Excellence in Reviewing Award (2023) Dorinda and Mark Winkleman Distinguished Faculty Scholar (2022-2023 and 2023-2024) MAS Best Early Career Researcher Award (2022) FARS Excellence in Reviewing Award (2022) Wharton Teaching Excellence Award (2020, 2021) MAS Outstanding Reviewer Awards (2020, 2021) MAS Best Dissertation Award (2019) She teaches Strategic Cost Analysis to undergraduates, applying cost management frameworks across organizational functions, and contributes to doctoral education through Research in Accounting I covering corporate disclosure, incentives, governance, and financial reporting theory. No information regarding student advising or research grants appears in available materials. Professor Deller maintains active research collaborations across multiple institutions as evidenced by her extensive working paper portfolio, though no dedicated laboratory or formal research team structure is documented.

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