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Bernhard Ganglmair is an Associate Professor of Economics at the University of Mannheim and ZEW – Leibniz Centre for European Economic Research . He leads the junior research group Competition and Innovation and is actively involved in institutions like the Mannheim Centre for Competition and Innovation (MaCCI) , the DFG-funded Collaborative Research Center Transregio 224 (EPoS) , and the Competition Law and Economics European Network (CLEEN) .
پژوهشگر
Marthe Bonamy is a CNRS researcher at LaBRI (Laboratoire Bordelais de Recherche en Informatique) in Bordeaux, France, holding a permanent research position since December 1, 2015. She is a member of the CombAlgo team, head of the Graphes et Optimisation research group, and also a member of the AlgoDist group. Her research focuses on combinatorics and graph theory, particularly planar graphs, algorithms, graph decompositions, and reconfiguration problems. Dr. Bonamy is actively involved in the academic community, serving as vice-Editor-in-chief of the European Journal of Combinatorics since January 2021, a member of the Board of Editors of Discrete Mathematics since January 2021, an editor of Innovations in Graph Theory since August 2023, and an associate editor of the SIAM Journal of Discrete Mathematics since January 2024. She is also part of the scientific board of the GT COA and the steering committee of STACS. Her research interests span various aspects of combinatorics and graph theory, with a particular emphasis on structural graph properties, coloring problems, and reconfiguration processes. She has made significant contributions to understanding graph recoloring, Kempe changes, and various decomposition techniques for graphs. Her work often bridges theoretical computer science and pure mathematics, providing both theoretical insights and algorithmic applications. Dr. Bonamy has supervised numerous PhD students, both currently and in the past, demonstrating her commitment to mentoring the next generation of researchers in combinatorics and graph theory. Her students have gone on to academic positions and industry roles, reflecting the breadth of applicability of their research. She has received recognition through prestigious editorial positions and research grants, including her current involvement in the ANR Project ENEDISC (2024-2027) and previous leadership of multiple research projects. Dr. Bonamy maintains an active research agenda with numerous publications in top-tier journals and conferences, reflecting her standing as a leading researcher in combinatorics and graph theory.
استادیار
Prof. Dr. Daniel Guhl is an Assistant Professor of Consumer Behavior at the School of Business and Economics, Humboldt University Berlin. He serves as an incoming Principal Investigator for project A05 within the CRC TRR 190 Rationality and Competition, collaborating with Daniel Klapper (HU) and Martin Spann (LMU). His academic career includes ongoing postdoctoral research at Humboldt University Berlin since 2014, complemented by industry experience as Head of Econometric Research & Development and Data Scientist at So1 GmbH from 2012-2016. Daniel Guhl earned his Dr.rer.pol. from TU Clausthal in 2014 and his Dipl.-Kfm. from RWTH Aachen University in 2006. His educational foundation spans business administration with a strong quantitative focus, preparing him for his research in consumer behavior and econometric modeling. Dr. Guhl's research focuses on consumer choice behavior at the intersection of marketing, economics, and applied econometrics. He specializes in developing and applying discrete choice models using both classical and Bayesian methods to analyze market and experimental data. His work aims to deepen understanding of individual consumer decision-making, particularly where it diverges from neoclassical economic assumptions. His research interests span Discrete Choice Models, Consumer Behavior, Applied Econometrics, Behavioral Economics, and Machine Learning. Methodologically, he excels in discrete choice modeling, econometric analysis of panel data, and experimental design for consumer research, with particular expertise in time-varying parameters and attribute non-attendance in choice models. Dr. Guhl's publication record demonstrates consistent scholarly productivity with a clear evolution toward increasingly sophisticated modeling techniques and dynamic aspects of consumer behavior. His recent work integrates machine learning approaches with traditional econometric methods to address complex marketing challenges including brand equity measurement, loyalty program effectiveness, and retail marketing optimization. His research consistently bridges theoretical insights with practical marketing applications, contributing significantly to both academic literature and industry practice. Dr. Guhl maintains active engagement with the academic community through multiple professional affiliations. He is a member of the VHB (MARK) since 2018, a member of CRC TRR 190 (Rationality and Competition) since 2017, a Fellow at the Berlin Centre for Consumer Policies (BCCP) since 2016, and a member of the European Marketing Academy since 2016. These connections position him at the forefront of marketing and consumer behavior research. As an Assistant Professor, Dr. Guhl likely mentors graduate students and participates in research collaborations. His role in the CRC TRR 190 project indicates active involvement in securing research funding and leading collaborative research teams focused on rationality and competition in market contexts. His industry background provides valuable practical perspective for student training and research design. Dr. Guhl's work is closely associated with the Berlin Centre for Consumer Policies (BCCP), where he serves as a Fellow. This affiliation suggests interdisciplinary collaboration with economists, legal scholars, and policy experts, extending the impact of his research beyond traditional marketing boundaries into consumer policy domains.
Emerson H. Tiller is the J. Landis Martin Professor of Law & Business at Northwestern University Pritzker School of Law , where he joined in 2003. He also holds a courtesy appointment as Professor of Business Law at the Kellogg School of Management and serves as Director of West Coast Initiatives . His research focuses on the intersection of Law and Economics with an emphasis on Positive Political Theory , Judicial Decision-Making , and Intellectual Property . BA in Political Science, Indiana University JD, Indiana University PhD in Business, University of California, Berkeley Professor Tiller’s work examines how political forces influence regulatory and judicial outcomes, including empirical analyses of judicial partisanship , collegiality , and doctrinal enforcement . He has pioneered studies on strategic word choice in judicial opinions , panel effects , and whistleblowing in federal courts . His scholarship spans administrative law , contract law , and intellectual property , particularly in internet business methods and e-commerce regulation . His publications reveal a focus on judicial politics , doctrinal frameworks , and empirical legal analysis , with recent work addressing Supreme Court dynamics and institutional control . Past visiting roles at the University of Pennsylvania Law School and UC Berkeley Haas School of Business underscore his interdisciplinary expertise. Research grants from National Academies of Science , John M. Olin Program in Law and Economics , and Bradley Foundation Additional roles include Director of the San Francisco Immersion Program , Senior Associate Dean of Academic Initiatives , and Director of the Accelerated LLM Program at Northwestern.
Jessie Coe is an Associate Economist at RAND and a Professor of Policy Analysis at the RAND School of Public Policy. She specializes in econometric methods and policy evaluation, particularly for disadvantaged populations and social assistance programs. Education: Ph.D. in Economics (University of Texas, 2019), B.A. in Pure Mathematics (Pomona College). Her research spans econometric modeling , program evaluation , and economic policy , with a focus on improving outcomes for low-income families. She employs techniques like panel data methods , GMM estimation , and missing data analysis to study social policies, including financial inclusion (e.g., CalAccount), marriage legislation, and disaster recovery economics (e.g., Puerto Rico post-Hurricane María). Her recent work includes analyzing veterans' support programs, school leadership interventions, and STEM workforce diversity in the U.S. Department of Defense. Articles highlight her interdisciplinary approach, merging causal inference , disaster recovery , and public health . Scientific awards: None explicitly listed. Advising and grants: No formal students or advising roles mentioned. Research includes grant-funded studies on veterans, education, and disaster recovery. Labs and teams: Not mentioned in the provided text.
استادیار
CHEN Yen-Tsang is an Assistant Professor at Neoma Business School , specializing in Information Systems, Supply Chain Management, and Decision Support . He earned his PhD in Business Administration from FGV EAESP in 2015 after a decade-long career as an engineer and project manager at firms like Alstom and Metro of Rio de Janeiro. Currently, he leads the MSc Management de Projet program at Neoma's Paris campus and teaches Operations Management, Purchasing, and Operations Research . Education : PhD in Business Administration (FGV EAESP, 2015), Mechanical Engineering background His research focuses on behavioral operations , resilient supply chains , and project management , employing controlled experiments , discrete choice analysis , and surveys . Recent work examines cross-national supply chain resilience , dynamic control systems , and ethical challenges in purchasing , with publications in IJOPM , JCLP , and conferences like POMS and EUROMA . Recent article trends reveal a focus on sustainability , resilience in global supply chains , and behavioral impacts in operations . Notable collaborations include studies on structural complexity validation and forecasting biases . Chen integrates experimental methods and cross-cultural analysis in his work, addressing multitasking inefficiencies , collaboration risks , and management control systems . He contributes to experimental pedagogy through Neoma's Experimental Lab and participates in international research partnerships like VISTA AR and BluePrint Intao .
Andries de Grip is Professor of Economics at the Research Centre for Education and the Labour Market (ROA), School of Business and Economics (SBE), Maastricht University. He is also a Research Fellow at the Graduate School of Business and Economics (GSBE), IZA (Bonn), and Netspar (Tilburg University). He serves on the Labour Market Committee of the Dutch Social Economic Council (SER) and the Scientific Advisory Board of the Federal Institute for Vocational Education and Training (BIBB), Germany. He earned his PhD cum laude from the Free University of Amsterdam. His educational background in economics forms the foundation of his extensive research in labor market dynamics. His research centers on labour economics with a focus on training, skill mismatches, sustainable employability, human resource management, labour mobility, retirement, and manpower forecasting. He investigates how skills are acquired and become obsolete, how firms manage human capital, and how structural changes affect employment outcomes. His work often employs advanced empirical methods such as discrete choice experiments and longitudinal cohort studies. The recent publications highlight a consistent focus on training, employability, retirement, and labour market behavior. Themes include the impact of training vouchers, informal learning, sustainable employability frameworks, personality in recruitment, and financial decision-making in retirement. His work bridges economics, organizational behavior, and public policy, with strong methodological rigor. Research Fellow, GSBE, Maastricht University Research Fellow, IZA, Bonn Research Fellow, Netspar, Tilburg University Member, Scientific Advisory Board, BIBB, Germany Member, Labour Market Committee, Dutch Social Economic Council (SER) Andries de Grip has led numerous research projects on behalf of Ministries, Dutch Public Employment Services, and the European Commission. His advisory roles reflect significant influence on national and European labour market and education policy. He has not explicitly listed grants or students in the provided text, but his project leadership implies extensive grant acquisition and mentorship. His research is conducted primarily through ROA, a leading research center at Maastricht University focused on education and labour market issues. He collaborates with multidisciplinary teams across institutions, particularly on projects involving sustainable employability and skill development.
Teresa Backhaus is a postdoctoral researcher at the Institute for Applied Microeconomics (IAME) within the Department of Economics at the University of Bonn. She is a member of the CRC TRR 224 EPoS (Project C1), a visiting research affiliate at IZA, and actively contributes to the open-source tax-transfer simulator GETTSIM. Since 2024, she represents research associates in the faculty council, advocating for academic staff interests in resource allocation and policy decisions. Her interdisciplinary research sits at the intersection of applied microeconometrics, labor economics, and behavioral economics. Her educational background includes a PhD in Economics from Freie Universität Berlin (2022), an M.Sc. in Economics from the same institution (2017), and a B.Sc. in Economics from the University of Bonn (2015). She also completed coursework in the Berlin Doctoral Program in Economics and Management Science (BDPEMS), now the Berlin School of Economics (BSE), and spent a semester abroad at the University of New Mexico. Teresa's research focuses on labor market dynamics, particularly retirement decisions, life-cycle employment, and the behavioral aspects of economic choices. She investigates how individuals form expectations about wages, how policy interventions affect training participation, and how cognitive limitations influence retirement planning. Her work on the German minimum wage evaluates its effectiveness in reducing poverty and inequality, while her experimental research explores strategy use in repeated games like the Prisoner’s Dilemma, identifying distinct behavioral types such as defectors and cooperators. Her recent publications, appearing in journals such as Labour Economics , Journal of European Social Policy , and Games and Economic Behavior , reflect a strong trend toward integrating structural modeling with behavioral insights. She frequently employs survey data (e.g., SOEP, NEPS) and experimental methods to study causal misperceptions, learning dynamics, and household decision-making. Her work bridges theoretical models with real-world policy implications, particularly in welfare and labor market reforms. Her scientific awards include the WZB World Merit Fellowship (2020) and the PROMOS Scholarship from DAAD (2011). She has also served in leadership roles, including as a student representative in BDPEMS (2016–2018) and currently as the elected representative of academic staff in the faculty council. Teresa collaborates with prominent economists such as Yves Breitmoser, Peter Haan, Steffen Huck, and Hans-Martin von Gaudecker. She has held research positions at WZB Berlin and DIW Berlin and has conducted research stays at University College London. Her involvement in GETTSIM highlights her commitment to open science and policy-relevant computational tools. She is actively engaged in departmental governance and supports institutional transparency and equity through her representation role. Her research lab or team affiliations include the Institute for Applied Microeconomics (IAME), CRC TRR 224, and the GETTSIM development team. She is embedded in a vibrant network of behavioral and labor economists in Germany and internationally, contributing to both theoretical and applied advancements in economics.
Julio González-Díaz is a university professor at the Department of Statistics, Mathematical Analysis, and Optimization at the Faculty of Mathematics, University of Santiago de Compostela. His research focuses on game theory, operations research, and decision models, with applications in economics and mathematics. He leads the research group MODESTYA (Optimization, Decision, Statistical Models and Applications) and is affiliated with the Galician Mathematical Research and Technology Center (CITMAga). Education: PhD from the University of Santiago de Compostela (2005), thesis titled Essays on Competition and Cooperation in Game Theoretical Models , supervised by Dr. María Estela Sánchez Rodríguez and Dr. Ignacio García Jurado. Research Interests: Game theory (cooperative and non-cooperative), operations research, optimization, and statistical models. His work includes studies on core stability, airport cost allocation, paired comparisons analysis, and algorithmic game theory. Publications: Over 30 peer-reviewed articles and books, including influential works like An Introductory Course on Mathematical Game Theory (2010) and widely cited contributions on core-center concepts and ranking methods. Recent work involves polynomial optimization algorithms (RAPOSa solver), gas transportation networks, and bilevel portfolio design. Collaborations: Extensive co-authorship network, including researchers like Fiestras-Janeiro, Sánchez-Rodríguez, and international collaborations in optimization and game theory. Contact: julio.gonzalez@usc.es
Lu Zheng is a Professor of Finance at the Paul Merage School of Business, University of California, Irvine, where she joined in September 2006. She previously served as an Assistant Professor at the University of Michigan's Ross School of Business from 1999 to 2006, earning tenure and promotion to Associate Professor in 2006. She holds a PhD in Finance from Yale University and a Bachelor’s degree from Agnes Scott College. Education: PhD in Finance, Yale University Bachelor’s Degree, Agnes Scott College Her research focuses on empirical investments, particularly mutual funds, hedge funds, institutional trading, investor behavior, and behavioral finance. She explores how investor psychology, fund structures, and market dynamics influence asset prices and performance. Her work integrates rigorous empirical methods with real-world financial phenomena, often uncovering behavioral anomalies and structural inefficiencies. Her recent publications span topics such as hedge fund inception effects, media influence on fund trading, strategy distinctiveness, and lunar phase effects on stock returns. The body of her research demonstrates a consistent focus on understanding the behavior of institutional and retail investors, the performance drivers of active management, and the impact of structural and psychological factors on financial markets. Scientific Awards and Recognitions: Nominated for the Smith Breeden Award (2005 and 2006) for best paper in The Journal of Finance Member of Phi Beta Kappa National Society Lu Zheng has advised numerous researchers and co-authored with prominent scholars in finance. She has received extensive media coverage in outlets such as The New York Times , The Wall Street Journal , Bloomberg , NPR , and The Economist . Her work has been influential in both academic and policy circles, with implications for investor protection, fund regulation, and portfolio management. She is affiliated with the Todd and Lisa Halbrook Center for Investment and Wealth Management at UCI.
Joel Hasbrouck is the Kenneth G. Langone Professor of Business Administration and Professor of Finance at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 1983. His research focuses on market microstructure, financial econometrics, and the design and regulation of securities markets. He is the author of the influential book Empirical Market Microstructure and has published extensively in top finance journals. Ph.D., Finance, University of Pennsylvania B.S., Chemistry, Haverford College His research interests include market microstructure, financial econometrics, high-frequency trading, liquidity, price discovery, and decentralized exchanges . His recent work analyzes trading mechanisms in decentralized exchanges, FX market networks, and high-resolution price formation. He has made significant contributions to the understanding of limit order behavior, trading costs, and the impact of low-latency trading. His publications demonstrate a strong focus on empirical analysis of trading data , with recurring themes in market design, liquidity measurement, and the impact of technology on financial markets . He frequently employs advanced econometric techniques to analyze high-frequency and daily market data. 1986 Iddo Sarnat Prize by the European Finance Association Fellow, Society of Financial Econometrics Fellow, Columbia Law School Program in the Law and Economics of Capital Markets Advisory Editor, Journal of Financial Markets Associate Editor, Journal of Financial Econometrics Hasbrouck has advised numerous public and private institutions, including the SEC, CFTC, NYSE, Nasdaq, and the Federal Reserve Bank of New York. He has served on editorial boards of major journals such as the Journal of Finance , Review of Financial Studies , and Journal of Financial Markets . He co-developed the TORQ database, a comprehensive dataset used by researchers worldwide. He teaches graduate courses including Foundations of Finance and Principles of Securities Trading, and organizes the annual Stern Microstructure Conference.
Masakazu Ishihara is an Associate Professor of Marketing at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 2011. His research is centered on quantitative marketing and empirical industrial organization, employing structural econometric models to study consumer and firm behavior in dynamic markets. Leonard N. Stern School of Business, New York University Department of Marketing His academic training includes a Ph.D. in Marketing from the Rotman School of Management at the University of Toronto, and both a B.S. and M.S. in Economics from the University of Wisconsin-Madison. Professor Ishihara's research interests span quantitative marketing , empirical industrial organization , the dynamic effects of marketing strategies , forward-looking consumer and firm decision-making , and marketing in the entertainment and luxury industries . He frequently investigates how consumers and firms make intertemporal choices, particularly in durable goods markets such as video games, pharmaceuticals, and alcohol. His work often integrates economic theory with large-scale consumer data to estimate structural models of demand, adoption, and competition. The recent publications highlight a consistent trend in applying dynamic structural models to analyze consumer behavior in complex markets. His research spans topics such as rational addiction (e.g., soda and alcohol), price promotions, scarcity marketing, advertising causality, software piracy, and brand extensions. The keywords across his publications indicate strong expertise in econometrics , consumer behavior , pricing , and empirical IO , with applications in entertainment, healthcare, and digital platforms. His scientific awards include: Inaugural 2010 ISMS Doctoral Dissertation Competition Award 2021 Best Paper Award, Journal of Advertising Research Honorable Mention, 2011 Dick Wittink Prize Professor Ishihara has collaborated extensively with leading scholars such as Andrew Ching, Tülin Erdem, and Eric Yanfei Zhao. He has secured research funding implicitly through publication in top journals and active working paper pipeline, though specific grants are not listed. He advises emerging scholars and contributes to the academic community through peer-reviewed publications and methodological advancements in structural modeling. There is no mention of specific labs or research teams in the provided text, though his work suggests involvement in quantitative marketing and empirical IO research groups at NYU Stern.
Jiawei Zhang is the Michael Armellino Professor in Business and Professor of Information, Operations and Management Sciences at the Leonard N. Stern School of Business, New York University. He chairs the Department of Technology, Operations, and Statistics and serves as Academic Director of the Master of Science in Data Analytics & Business Computing program. He joined NYU Stern in September 2004 and held a joint position at NYU Shanghai from 2014 to 2017. PhD in Management Science and Engineering, Stanford University, 2004 MS in Operations Research, Tsinghua University, 1999 BS in Applied Mathematics, Tsinghua University, 1996 Professor Zhang's research centers on business analytics, optimization, and operations management. His work integrates machine learning, robust optimization, and stochastic modeling to solve complex problems in supply chain management, healthcare operations, pricing, and revenue management. He investigates decision-making under uncertainty, online learning, and algorithmic approaches to resource allocation. His recent publications reveal a strong focus on theoretical and applied aspects of stochastic optimization, prophet inequalities, assortment optimization, and process flexibility. These works appear in top journals such as Operations Research , Management Science , and Mathematics of Operations Research , reflecting deep contributions to both methodological innovation and practical applications in operations. His editorial service highlights scholarly leadership: Associate Editor, Management Science (2014–present) Associate Editor, Manufacturing & Service Operations Management (2021–present) Associate Editor, Mathematics of Operations Research (2009–present) Associate Editor, Operations Research (2006–present) Professor Zhang teaches a range of courses from undergraduate to PhD levels, including Decision Models and Analytics, Convex Optimization, and Dynamic Programming. He advises PhD students and contributes to executive education programs, including in Risk and Decision Analytics and FinTech. His research is supported by theoretical rigor and real-world applicability, with implications for technology, finance, and healthcare operations.
Gianluca Fiorentini is a Full Professor in the Department of Economic Sciences at the University of Bologna. His work focuses on health economics, public policy, and healthcare systems, with a particular emphasis on regulatory frameworks and resource allocation. He has contributed extensively to understanding healthcare utilization patterns, disease management strategies, and the impact of policy interventions on health outcomes. His research spans topics such as pandemic response strategies, clinical guideline compliance, and the economic implications of pharmaceutical patent expiries. Fiorentini has analyzed healthcare systems in multiple countries, including Italy, Germany, and Australia, highlighting the importance of integrated care models and evidence-based decision-making. Recent publications emphasize the role of behavioral economics in preventive healthcare and the interplay between healthcare providers and policy incentives. Fiorentini’s work frequently intersects with public health challenges, offering insights into achieving equitable and efficient healthcare delivery systems.
Fabian Bastin is a Full Professor in the Department of Computer Science and Operational Research (IRO) at Université de Montréal. He holds a prestigious academic position within the university's research and teaching community. His work focuses on optimization, stochastic programming, simulation, and their applications in transportation, energy systems, and finance. Teaching Responsibilities: Bastin teaches advanced courses such as IFT-2505 (Linear Optimization), IFT-3515 (Nonlinear Programming), and IFT-6512 (Stochastic Programming). He also contributes to graduate-level courses on dynamic programming and simulation techniques. His courses emphasize theoretical foundations alongside practical applications, often using tools like MATLAB and the ORATIO library he helped develop. Research Interests: Bastin's research spans stochastic optimization, simulation methodologies, and decision-making under uncertainty. Key areas include air traffic management optimization, hydroelectric reservoir scheduling, and synthetic population generation using copula-based models. He has pioneered work on scenario tree generation for multistage stochastic programming and developed algorithms for efficient mixed logit model estimation. Research Contributions: His publications highlight advancements in stochastic models for transportation systems, energy planning, and financial engineering. Notable works include contributions to the progressive hedging algorithm, recursive logit models for route choice analysis, and Monte Carlo methods for option pricing. Bastin is also actively involved in software development, notably the ORATIO simulation library used in discrete-event modeling. Professional Engagements: He has co-organized conferences on optimization and simulation, and his work has been supported by grants from NSERC and other funding bodies. Despite no explicit mention of awards in the text, his extensive publication record and methodological innovations suggest significant recognition in his field.
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