جست‌وجوی استاد و پژوهشگر

Benjamin Schoeferمشاهده پروفایل

دانشیار

• Labor Economics
• Macroeconomics
• Public Economics
• +۴ مورد دیگر

Benjamin Schoefer is an Associate Professor in the Department of Economics at UC Berkeley , where he teaches courses in macroeconomic theory and labor economics. He serves as Director of the Macro Labor Center for the Study on Aggregate Labor Markets, Policies, and Institutions, collaborating with the Institute for Research on Labor and Employment (IRLE) . Editorial Roles: Associate Editor, Journal of Monetary Economics Affiliated Institutions: NBER (Research Associate), IWH Halle (Senior Research Fellow), Bundesbank (Research Professor), CEPR (Research Affiliate), IZA (Research Fellow), CESifo (Affiliate Member) His research focuses on Labor Economics , Macroeconomics , and Public Economics , with recent work examining: Wage rigidity and efficiency wage models Labor market effects of employer subsidies Collective bargaining institutions across countries Firm growth through input substitution Employment protection policies Financial constraints in wage setting Key findings include documenting how market power and monopsony influence labor shares, and how decentralized wage setting affects employment dynamics. His collaborative work spans institutions in Norway , Finland , and Italy . As a NBER Working Paper author, he has published on topics like: Minimum wage impacts and misallocation Congestion theory in unemployment German industrial relations models Employer subsidies and hysteresis Payroll tax effects in Sweden

Matthew Bidwellمشاهده پروفایل

استاد

• careers
• contingent work
• firm boundaries
• +۴ مورد دیگر

Matthew Bidwell is a Professor of Management at the Wharton School of Business, University of Pennsylvania . His research focuses on evolving employment relationships, career dynamics, and human resource management in modern labor markets. He serves as faculty co-director of the Wharton People Analytics Initiative and faculty director of the Wharton CHRO Program. Ph.D., MIT Sloan School S.M., Political Science, MIT M. Chem, Oxford Bidwell's research examines international career mobility , managerial contracting , and organizational labor market strategies . His work reveals complex relationships between global mobility and compensation, and analyzes how institutions like search firms shape career trajectories. Recent publications show trends in cross-border employment , executive career progression , and status-driven wage dynamics . His studies utilize longitudinal datasets and organizational personnel records to uncover patterns in managerial mobility. Scientific Recognition Wharton Teaching Excellence Award (2020) ASQ Scholarly Contribution Award (2017) John T. Dunlop Outstanding Scholar Award (2014) Sloan Foundation Industry Studies Fellowship (2010-2012) Bidwell has served as Senior Editor at Organization Science and contributes regularly to business media outlets. His teaching emphasizes evidence-based people management through the People Analytics course at Wharton.

Jan Eeckhoutمشاهده پروفایل

استاد پژوهشی

• Macro-Labor Theory
• Labor Markets
• Urban Economics
• +۳ مورد دیگر

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.

Chuck Fangمشاهده پروفایل

استادیار

• Credit Markets
• Monetary Policy
• Financial Innovations
• +۷ مورد دیگر

Chuck Fang is an Assistant Professor of Finance at Drexel University's LeBow College of Business. He holds a PhD in Finance from UPenn Wharton (2023) and BAs in Economics, Mathematics, and Statistics from UC Berkeley (2015). His research is centered on credit markets, monetary policy, financial innovations, and financial data infrastructure. PhD in Finance, UPenn Wharton, 2023 BAs in Economics, Mathematics, and Statistics, UC Berkeley, 2015 His research interests span credit markets , monetary policy transmission , financial innovations (including DeFi and automated market makers), and financial data linkage (e.g., Bond-Compustat-CRSP and DealScan-Compustat links). His work explores how monetary policy affects bond fund flows, debt structure changes, and sovereign restructuring. He emphasizes data quality and transparency, contributing open-source tools for empirical finance. The most recent articles reveal a strong focus on monetary policy amplification , debt market structure , and data infrastructure for empirical research. Keywords across publications include finance, monetary policy, asset pricing, fintech, and data linkage. Subfields consistently involve bond fund flows, syndicated loans, sovereign debt restructuring, DeFi mechanisms, and financial data validation. His research bridges macroeconomic policy with micro-level financial data, often using large-scale institutional holdings and transaction data. Scientific awards include: WFA Brattle Group PhD Candidate Award for Outstanding Research Chuck Fang has advised no students listed in the materials. He has secured research recognition through conference presentations and working paper awards. His work is supported by access to major financial databases and collaboration with leading scholars such as Kairong Xiao and Greg Nini. He actively disseminates findings through SSRN, Google Scholar, and academic conferences. He leads or contributes to several data infrastructure projects, including the Bond-Compustat-CRSP Link and DealScan-Compustat Link. These tools enhance empirical research in corporate finance and asset pricing by improving issuer identification and data accuracy. He also maintains a personal website and is active on professional platforms like LinkedIn and Twitter, promoting open science and financial research transparency.

Andreas Gulyasمشاهده پروفایل

استادیار

• Macroeconomics
• Labor Economics
• Search Theory
• +۱ مورد دیگر

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.

Shouyong Shiمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Economics
• Financial Economics
• +۷ مورد دیگر

Shouyong Shi is a Professor and David C. Smith Chair in Economics at Queen's University. Previously, he held positions at the University of Toronto (as a Tier 1 Canada Research Chair) and Pennsylvania State University. His research focuses on macroeconomics, monetary economics, financial economics, and labor economics, with notable contributions to search theory, market frictions, and business cycle analysis. Shi has been a Research Fellow at the Bank of Canada and holds editorial roles, including co-editing the Annals of Economics and Finance . Education: Ph.D. in Economics, University of Toronto (1991) M.A. in Economics, University of Toronto (1988) B.Sc. in Industrial Engineering and Management Science, Huazhong University of Science and Technology (1984) Research Interests: Shi’s work spans macroeconomic theory, monetary policy, financial markets, and labor markets. Key topics include price dispersion, liquidity dynamics, wage-tenure contracts, and the role of search frictions in economic cycles. His influential papers address topics like directed search models, efficient job search mechanisms, and the impact of skill-biased technology on inequality. Awards and Honors: Tier 1 Canada Research Chair (2002–2014) John Rae Prize (2000, for best researcher in five years) Bank of Canada Fellowship (2003–2012) Grants and Supervision: Shi has supervised over 20 Ph.D. students, many of whom now hold academic or policy roles. He has received SSHRC grants for research on macroeconomic policies, search frictions, and monetary economics. Notable grants include projects on “Search Frictions and Macroeconomic Policies” and “Decentralized exchanges and market efficiency.” Labs/Teams: Shi collaborates with institutions like the Bank of Canada, Federal Reserve Banks, and international universities (e.g., Tsinghua, Fudan). His work often involves interdisciplinary teams addressing real-world economic challenges, such as pandemic impacts on output and liquidity dynamics in financial markets.

• Corporate Finance
• Mergers and Acquisitions
• Empirical Asset Pricing
• +۷ مورد دیگر

Leonidas Barbopoulos is a Professor of Finance and Head of the Accounting & Finance group at the University of Edinburgh Business School. He has held visiting positions at NYU Stern, University of Bergamo, Harvard Business School, Mason School of Business, Strome College of Business, Trinity College Dublin, and University of Vienna. His research spans corporate finance, behavioral finance, market microstructure, and monetary policy interactions. Education: BSc (University of Piraeus; LSE), MSc (University of Durham), D.Phil (University of Durham), PgCert (University of Durham) His work focuses on dynamic games in corporate finance, merger economics, investor behavior, and climate-related financial innovations. Recent projects examine how macroeconomic conditions influence corporate control markets and informational asymmetries in financial systems. Barbopoulos has received prestigious awards including the Southwestern Finance Association Best Paper Award in Corporate Finance and the Yuki Arai Faculty Research Prize at NYU. He serves as Associate Editor at the International Review of Financial Analysis and has been a fellow of the UK Higher Education Academy since 2013. His collaborations extend across 12 similar academic profiles, with research fingerprints in 24 topics including mergers, wealth effects, investor behavior, and macroeconomic conditions. He currently leads a project addressing information asymmetry in merger negotiations through earnout financing.

Ran Spieglerمشاهده پروفایل

استاد

• Economic Theory
• Behavioral Economics
• Political Economy
• +۳ مورد دیگر

Ran Spiegler is a Professor of Economics at both Tel Aviv University and University College London (UCL). He holds a PhD in Economics from Tel Aviv University (1999). His research focuses on economic theory, behavioral economics, and bounded rationality, with notable contributions to understanding decision-making under flawed causal reasoning, narrative-driven political and economic dynamics, and market behaviors influenced by limited consumer rationality. Spiegler has held roles including Member at the Institute for Advanced Study (Princeton, 2000-2001) and Prize Research Fellow at Nuffield College, Oxford (1999-2000). Education: PhD in Economics, Tel Aviv University (1999) Affiliations: Professorships at Tel Aviv University (2009–present) and UCL (2006–present) Research Interests: Spiegler’s work explores how bounded rationality shapes economic outcomes, including consumer decision-making, market competition, and the role of narratives in political mobilization. He has authored influential books like Bounded Rationality and Industrial Organization (2011) and The Curious Culture of Economic Theory (2024), which critique and expand economic theory’s methodologies. Recent Articles: His recent work examines topics such as false narratives in politics, monopolistic data practices, and competitive markets with imperfectly discerning consumers. These studies highlight interdisciplinary applications of economic theory to modern challenges like algorithmic transparency and platform economics. Awards: Prize Research Fellow, Nuffield College, Oxford (1999–2000) Grants & Labs: While specific grants are not detailed, his research is funded through institutional affiliations. He collaborates widely, with notable co-authors like Kfir Eliaz and Yair Antler.

• Computer Science
• Software Engineering
• Artificial Intelligence
• +۵ مورد دیگر

Dongwoo Kim is a researcher affiliated with Hanyang University, ERICA Campus (Department of Electronics and Communication Engineering) and has previously collaborated with institutions like POSTECH , Chungnam National University , and Microsoft . His work spans interdisciplinary domains in Computer Science and Engineering . Hanyang University, ERICA Campus - Department of Electronics and Communication Engineering POSTECH - Power Analog Electronics & Semiconductor Devices Lab Microsoft Chungnam National University Kim's research focuses on formal verification of automotive control software, deep learning applications in environmental monitoring, 3D modeling for indoor positioning, and machine learning for signal processing. His recent publications highlight advancements in graph neural networks (GNNs), including analyzing oversmoothing and gradient dynamics, as well as developing geometric vision-language models with domain-agnostic encoders. His 15 most recent articles (2023-2025) address topics like: Optimizing hybrid electric vehicle engine performance 3D modeling for indoor localization GNN training stability UAV-based environmental monitoring Algorithm difficulty prediction for programming problems Millimeter-wave antenna design Kim collaborates with researchers in software engineering , signal processing , and environmental science domains. His work intersects formal methods , applied machine learning , and embedded systems research.

Maddalena Ronchiمشاهده پروفایل

استادیار

• Applied Microeconomics
• Labor Economics
• Finance
• +۳ مورد دیگر

Maddalena Ronchi is an Assistant Professor of Finance at the Kellogg School of Management , Northwestern University. Her research bridges labor economics and finance, focusing on labor market frictions and their impacts on workers' careers and corporate dynamics. Expertise in applied microeconomics, gender inequality, and corporate behavior Recipient of the Drake Scholar recognition Her work employs quasi-experimental designs and employer-employee matched data to analyze gender gaps in employment, earnings, and occupational choices, as well as firm-level outcomes like talent retention and growth. Her notable publication includes: 2020: Gender gaps and the structure of local labor markets (Labour Economics) with Barbara Petrongolo Contact: maddalena.ronchi@kellogg.northwestern.edu

Mohammadtaghi Hajiaghayiمشاهده پروفایل

استاد

• Design and Analysis of Algorithms
• Approximation Algorithms
• Fixed-Parameter Algorithms
• +۸ مورد دیگر

Mohammadtaghi Hajiaghayi is the Jack and Rita G. Minker Professor of Computer Science at the University of Maryland, College Park. He is affiliated with the Robert H. Smith School of Business and holds Research Affiliate positions at MIT CSAIL and the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS). His research focuses on algorithms, game theory, and network design, supported by NSF, ONR, and industry grants. He has received prestigious awards including ACM Fellow (2018) and EATCS Nerode Prize (2015) for his work on bidimensionality theory. Education: PhD from MIT (2005), postdocs at CMU and MIT, MSc from University of Waterloo, and BSc from Sharif University. He teaches courses like Data Science and Algorithms at UMD. Industry experience includes roles at Amazon, Google, and AT&T Labs. Over 20 students have graduated under his advisement, many in academia and industry. His work spans approximation algorithms, game theory, and big data. Projects include BigDND with Erik Demaine. He serves on editorial boards of Algorithmica, SODA, and others. Awards also include IEEE Fellow (2020) and Blavatnik Honoree (2020).

Vijay Vaziraniمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Matching Markets
• Computational Complexity
• +۶ مورد دیگر

Vijay Vazirani is a Distinguished Professor in the Department of Computer Science at the University of California, Irvine , where he directs the ACO Center @ UCI . He earned his Ph.D. in Computer Science from UC Berkeley and a S.B. from MIT. Vazirani is a Guggenheim Fellow , ACM Fellow , and 2022 INFORMS John von Neumann Theory Prize recipient. Research Areas: Algorithmic Game Theory, Matching Markets, Computational Complexity, Approximation Algorithms His groundbreaking work includes co-founding algorithmic game theory and solving a 30-year-old problem with an NC algorithm for perfect matching in planar graphs . Recent research focuses on matching-based market design, with a $500K NSF grant for advancing algorithms in matching and market equilibria. His 15 most recent papers explore topics like core imputations, stable matching lattices, and Nash bargaining solutions. Scientific Awards: Guggenheim Fellowship ACM Fellow 2022 INFORMS John von Neumann Theory Prize Vazirani advises numerous Ph.D. students and postdocs, including Tung Mai , Thorben Trobst , and Rohith Reddy Gangam . He contributes to major workshops and co-edited foundational texts like Algorithmic Game Theory and Online and Matching-Based Market Design .

• Artificial Intelligence
• Operations Research
• Revenue Management
• +۳ مورد دیگر

Yuri Levin is a Professor at the Smith School of Business, Queen’s University, where he holds the Stephen J.R. Smith Chair of Analytics and serves as Founding Executive Director of the Smith School of Business Analytics and AI. He also leads the Scotiabank Centre for Customer Analytics. His research focuses on Analytics & AI, with expertise in revenue management, dynamic pricing, and strategic consumer behavior. Levin holds a Ph.D. in Operations Research from Rutgers University and degrees in Economics and Applied Mathematics from Belarus State University. Levin’s academic contributions include co-winning the 2013 INFORMS Revenue Management and Pricing Practice Prize and the 2009 INFORMS COIN-OR Cup. He has advised companies like Scotiabank, Loblaws, and McDonald’s on pricing strategies and consumer analytics. As an Associate Editor of Operations Research , he shapes academic discourse in operations research and pricing strategies. Education: Ph.D. in Operations Research, RUTCOR, Rutgers University (2001) B.S. in Economics, Belarus State University (1998) M.S. (Honours) in Applied Mathematics, Belarus State University (1998) His research explores dynamic pricing models under social influence, strategic consumer behavior, and revenue management in hospitality and retail industries. He has pioneered methodologies for optimizing pricing strategies in networked markets and developed algorithms for cargo capacity management. Awards: 2010 Queen’s School of Business Award for Research Achievement 2003 New Researcher Achievement Award Levin’s teaching spans MBA, Master of Management Analytics (MMA), and executive education programs, covering analytical decision-making and pricing optimization. His advisory work includes roles as a Visiting Professor at the Skolkovo Moscow School of Management and the University of Cambridge’s Judge School of Business.

Jacob D. Leshnoمشاهده پروفایل

دانشیار

• Market Design
• Game Theory
• Microeconomic Theory
• +۳ مورد دیگر

Jacob D. Leshno is an Associate Professor of Economics and Robert H. Topel Faculty Scholar at the University of Chicago Booth School of Business. His research employs game theory, applied mathematics, and microeconomic theory to study allocation mechanisms and marketplace design, with applications spanning school choice systems, patient assignments to nursing homes, and decentralized cryptocurrency protocols. Professor Leshno's academic background includes: PhD in Economics from Harvard University, completed under Nobel laureate Alvin Roth M.Sc. in Pure Mathematics from Tel Aviv University B.Sc. in Pure Mathematics from Tel Aviv University His research program centers on market design theory with two primary strands. The first focuses on matching markets, where he developed tractable cutoff characterizations that clarify market structures for college admissions and medical residency matching (NRMP). His work demonstrates how price discovery mechanisms can streamline inefficient processes like college applications and subsidized housing allocation. The second strand examines cryptocurrencies and blockchain technology, investigating how open-source computer code functions as market rules in decentralized systems. This research explores both the economic security of permissionless consensus and fundamental limitations of proof-of-work protocols. Professor Leshno's publications reveal a cohesive research trajectory applying economic theory to increasingly complex market structures. His work consistently bridges theoretical rigor with practical implementation, evolving from traditional matching markets to the frontier of decentralized digital systems. Publications in top journals like American Economic Review and Journal of Political Economy demonstrate both analytical depth and real-world relevance across education, healthcare, and financial technology sectors. Professor Leshno has received significant recognition for his contributions: ACM SIGecom Test of Time Award for foundational work in matching markets INFORMS Frederick W. Lanchester Prize for outstanding contributions to operations research Prior to Chicago Booth, Professor Leshno served as Assistant Professor at Columbia Business School and completed a postdoctoral fellowship at Microsoft Research New England, following industry experience at Yahoo! and IBM. He teaches MBA courses in Competitive Strategy and Market Design, and developed a PhD seminar bridging computer science theory with economic principles for distributed systems. His research continues to influence both academic theory and practical implementations of market mechanisms across multiple sectors. Professor Leshno maintains active collaborations with leading researchers including Itai Ashlagi, Irene Lo, and Gur Huberman, advancing the theoretical foundations of market design while addressing contemporary challenges in digital marketplaces and allocation systems.

J. Daniel Kimمشاهده پروفایل

استادیار

• Entrepreneurship
• Startup Scaling
• Strategic Human Capital
• +۴ مورد دیگر

J. Daniel Kim is an Assistant Professor of Management at the Wharton School, University of Pennsylvania, where he teaches MBA and PhD courses on entrepreneurship and innovation. His research focuses on high-growth entrepreneurship, venture scaling, strategic human capital, mergers and acquisitions, innovation, and labor markets. PhD - MIT Sloan School of Management BA - Dartmouth College His research explores: Startup hiring challenges and firm-driven search strategies Timing and risks of venture scaling Post-acquisition employee retention patterns Founder impact on organizational change Immigrant founder contributions to entrepreneurship Key article trends show: Focus on talent dynamics in high-growth firms Analysis of organizational antecedents in acquisitions Quantitative approaches using population-level data Interdisciplinary connections between entrepreneurship, strategy, and economics Debunking myths about founder demographics Linkage between labor market mechanisms and startup performance Scientific recognition includes: Multiple Teaching Excellence Awards at Wharton (2024-2020) Best Paper Prize from Strategic Management Society (2020) Kauffman Dissertation Fellowship (2017) MIT Sloan Doctoral Thesis Prize (2019) Prof. Kim serves as an economist with the United States Census Bureau and has published in top journals including Strategic Management Journal , Organization Science , and American Economic Review: Insights . His work has been featured in The Wall Street Journal , New York Times , and Financial Times .