جستجوی استاد راهنمای دانشگاهی

Stephen Downingمشاهده پروفایل

استادیار

• Strategy
• Entrepreneurship
• Inter-organizational Networks
• +۴ مورد دیگر

Stephen Downing is an Assistant Professor in the Management Department at the University of Missouri's Robert J. Trulaske, Sr., College of Business. His research focuses on how organizations navigate competitive environments through inter-organizational networks, technological change, and market signals. He holds a Ph.D. from National Chiao Tung University (2020) and has visited Mays Business School (Texas A&M) and Gatton College of Business (University of Kentucky). Prior to academia, he managed regional sales for a surveillance hardware firm and co-founded a B2B SaaS startup in Taiwan. Education includes a Ph.D. and M.B.A. from National Chiao Tung University (2020, 2012) and a B.A. from Tulane University (2008). His work bridges strategy and entrepreneurship, emphasizing competitive dynamics and nonmarket interactions. Key themes in his research include causal inference methods, factor market blind spots, and the role of language in signaling competitive intent. His articles span outlets like the Academy of Management Journal , exploring topics from structural balance in competition to ESG rating evolution. No scientific awards are listed, though his recent publications indicate active engagement with cutting-edge strategic management topics. His advising and grants section remains unspecified in the provided text. Downing’s work integrates both qualitative and quantitative analyses, reflecting his prior industry experience in sales and startup leadership.

Byoung Parkمشاهده پروفایل

دانشیار

• Econometrics
• Applied Econometrics
• Causal inference
• +۳ مورد دیگر

Byoung Park is an Associate Professor in the Department of Economics at the University at Albany, State University of New York (SUNY), with office space in Catskill Hall room 341 and contactable via (518) 442-4737 or bpark2@albany.edu. Education: PhD, Yale University Research Focus: Professor Park specializes in econometric theory and methodology, with primary expertise in causal inference frameworks, nonparametric identification of structural models, and advanced panel data techniques. His work bridges theoretical econometrics with applied microeconomic analysis, particularly in program evaluation contexts where he develops methods for assessing policy interventions without strong parametric assumptions. Current research examines dynamic structural models in longitudinal settings to understand persistent economic behaviors. Professional Presence: Maintains an active academic profile through his personal website at https://sites.google.com/view/byoungpark.

Lynda A. Khalafمشاهده پروفایل

استاد

• Econometrics
• Energy Economics
• Financial Economics
• +۶ مورد دیگر

Lynda A. Khalaf is a Full Professor and Co-Director of the CMFE at Carleton University's Department of Economics, part of the Faculty of Public and Global Affairs. She holds a B.A. and M.B.A. from Beirut and a Ph.D. from Université de Montréal. Her research focuses on econometrics, energy econometrics, and financial econometrics, with expertise in simulation-based inference, identification-robust methods, and multivariate models. Khalaf has over 40 publications in top journals like the Journal of Econometrics and Review of Economic Studies, and her work has been cited over 1,300 times. She served as Canada Research Chair (Tier II, 2004–2008), and her contributions include groundbreaking work on Monte Carlo tests and exact simulation-based inference. She has advised numerous students, many of whom have won awards for their thesis work. Khalaf has held editorial roles, organized major conferences, and chaired committees such as the SSHRC Adjudication Committee for Economics. Her research addresses challenges in financial, macroeconomic, and environmental models, emphasizing methodological innovations and practical applicability.

Emily Kangمشاهده پروفایل

استاد

• Spatial Statistics
• Environmental Statistics
• Data Assimilation
• +۲ مورد دیگر

Emily Kang is a Professor in the Department of Mathematical Sciences at the University of Cincinnati, where she leads the Group on Data Analytics and Decision Sciences (GDADS). Her research develops statistical methodologies for spatial and spatio-temporal data, with applications in environmental science, climate modeling, and remote sensing. Kang specializes in hierarchical Bayesian models, data assimilation techniques, and scalable algorithms for large environmental datasets. Her work includes developing the EcoPro framework for ecological projections using Earth system models and remote sensing data, creating statistical downscaling methods for climate variables, and designing visualization tools for global environmental data on multi-resolution grids. Kang received the American Statistical Association's ENVR Early Investigator Award for contributions to environmental statistics. Current projects focus on neighborhood-scale extreme heat projections, coral reef habitability under climate change, and recursive co-kriging models for multi-fidelity spatial data. Her research advances uncertainty quantification in remote sensing products and climate impact assessments.

Jun Yanمشاهده پروفایل

استاد

• Survival Analysis
• Spatial Statistics
• Network Analytics
• +۲ مورد دیگر

Dr. Jun Yan is a Professor in the Department of Statistics at the University of Connecticut. His research spans network analytics, spatial extremes, survival analysis, and statistical computing with applications in public health, finance, and environmental science. His core research interests include: network modeling and analysis, spatial statistics for climate extremes, survival analysis methodologies, statistical computing frameworks, and applications in interdisciplinary domains including sports analytics. Dr. Yan has developed significant statistical methodologies for network analysis, climate change detection, financial modeling, and health analytics. His recent publications demonstrate innovation in modeling complex network structures, analyzing climate extremes, developing computational approaches for massive datasets, and creating specialized statistical methods for health and finance applications. He maintains active collaborations across disciplines and contributes to open-source statistical software. Honors include: Guggenheim Fellowship, multiple Fromm Foundation commissions, and Barlow Endowment recognition.

• Econometrics
• Financial Econometrics
• Risk Management
• +۶ مورد دیگر

Patrick Gagliardini is a Full Professor of Econometrics at the University of Lugano (USI) within the Faculty of Economics and the Institute of Finance. He also serves as Pro-Rector at USI. His academic journey includes a PhD in Econometrics from USI (2003) and studies in Physics at ETH Zurich (1998). He has held roles such as Visiting Fellow at CREST Paris (2003) and Assistant Professor at the University of St. Gallen (2004–2006). His research focuses on econometric methods (nonparametric techniques, GMM, latent factor models) and financial applications such as credit risk, asset pricing, and risk management. Competence areas include Big Data, investment decisions, and systematic risk analysis. He teaches courses in econometrics, financial econometrics, and time series at the undergraduate, graduate, and PhD levels. Recent publications explore latent factor models, econometric testing (e.g., eigenvalue tests for factor detection), and financial decision-making in small data regimes. His work bridges theoretical econometrics with practical applications in finance and risk modeling. Notably, his research addresses challenges in dynamic latent factor models, hedge fund performance evaluation, and granularity theory in financial systems. He maintains an active academic profile with contributions to both theoretical and applied econometrics.

Doris Fischerمشاهده پروفایل

استاد

• China's Economic Policies
• Industrial Policies
• Energy Transition
• +۵ مورد دیگر

Prof. Dr. Doris Fischer holds the Chair of China Business and Economics at the University of Würzburg (since 2012) and serves as Vice President for Internationalisation and Alumni since 2021. She earned her PhD in Economics from the University of Giessen after studying Business Administration and Chinese Studies in Hamburg and Wuhan. Her research focuses on China’s industrial policies, energy transition strategies, and the social credit system. Current projects include DFG-funded studies on renewable energy governance (LoSAM) and the bidt-funded analysis of the social credit system’s global impacts. Her academic career includes roles as assistant professor at Duisburg University, senior economist at the German Development Institute (Bonn), and guest professorships at Seikei University (Tokyo) and Freie Universität Berlin. She coordinates major international initiatives like the German-Sino Innovation Platform and chairs academic associations such as the German Association for Asian Studies (DGA). Key Research Themes: Energy transition management, innovation systems, global economic competition, and China’s international engagement Professional Roles: Editor of the China – Politics and Economics book series (Nomos), peer reviewer for DFG, Humboldt Foundation, and leading journals Grants & Networks: Led DFG projects on industrial policy (2018-2023), coordinated EU-China climate tech collaborations (2007-2012), and advises the DAAD's China programs Her publications span over three decades, analyzing China’s economic reforms, media marketization, and the evolution of state-enterprise relations. She actively bridges academic research with policy-making through advisor roles and public lectures.

Robert G. Murphyمشاهده پروفایل

استاد

• Macroeconomics
• International Economics
• Inflation Dynamics
• +۳ مورد دیگر

Robert G. Murphy is Professor and Chair of the Department of Economics at Boston College, where he maintains an active research and teaching profile. His office is located in Maloney Hall 394, and he can be reached at 617-552-3688 or via email at robert.murphy.1@bc.edu. As department chair, he oversees the academic and administrative functions of the Economics Department while maintaining his research agenda and teaching responsibilities. Murphy earned his B.A. from Williams College and completed his Ph.D. at the Massachusetts Institute of Technology, establishing a strong foundation in economic theory and empirical methods. His educational background from these prestigious institutions has informed his approach to both research and teaching throughout his career at Boston College. Murphy's research focuses primarily on macroeconomics and international economics, with particular expertise in inflation dynamics, monetary policy, and the relationship between economic activity and price levels. His work often examines how expectations shape economic outcomes, as seen in his research on rational bias in inflation expectations. He has also explored the connection between university athletics and applicant pools, demonstrating the breadth of his economic inquiry. Murphy frequently employs panel data and time series econometric techniques to analyze complex economic relationships, contributing significantly to our understanding of business cycle phenomena and policy effectiveness. An analysis of Murphy's publication history reveals a consistent focus on inflation dynamics and macroeconomic policy, with recent work examining why inflation has been unresponsive to economic activity following the Great Recession. His research trajectory shows evolution from traditional international finance topics in the 1980s and 1990s toward contemporary macroeconomic challenges, particularly those related to monetary policy transmission and inflation expectations formation in the post-financial crisis era. The recurring theme across his work is the examination of how theoretical economic relationships hold up under empirical scrutiny in changing economic environments. Professor Murphy has advised numerous honors thesis students across multiple academic years, with records showing his mentorship from 2012 through the current 2025 semester He teaches advanced macroeconomic theory courses including ECON2204 (Honors Macro Theory) and ECON4497/4498 (Senior Honors Thesis) As department chair, Murphy plays a key role in shaping the academic direction and curriculum of the Economics Department Murphy maintains an active presence in the economics profession through his work with RePEc and Google Scholar, where his publications are widely accessible. His research continues to address pressing questions in macroeconomic policy, particularly regarding inflation behavior in contemporary economic environments.

Daniel Thompsonمشاهده پروفایل

استادیار

• Political Economy
• Local Politics
• Elections
• +۴ مورد دیگر

Daniel Thompson is an Assistant Professor in the Department of Political Science at UCLA, specializing in American politics and political methodology. His research examines electoral accountability with a focus on local policymaking, elections, immigration, and criminal justice. He employs administrative datasets and causal inference techniques to study government behavior. Dr. Thompson holds a PhD in Political Science from Stanford University and a Master of Public Policy from UC Berkeley. His research interests include political economy, local politics, and data science applications in social science research. He has received notable recognitions including a Computational Social Science Fellowship from Stanford's IRiSS and a grant from the Center on Philanthropy and Civil Society. His recent publications analyze varied aspects of electoral systems including vote-by-mail efficacy, election administration partisanship, and immigration policy impacts on voter behavior.

Fu Ouyangمشاهده پروفایل

مدرس ارشد

• Econometrics
• Applied Economics
• Panel Data Analysis
• +۵ مورد دیگر

Dr. Fu Ouyang is a Senior Lecturer (equivalent to Assistant Professor) in the School of Economics at the University of Queensland (UQ), located in Brisbane, Australia. He holds a Ph.D. in Economics from Duke University (2017) and has been affiliated with UQ since 2018. His research focuses on theoretical and applied econometrics, with expertise in semiparametric/nonparametric methods, panel data analysis, causal inference, and discrete choice models. He applies these methodologies to fields like labor, health, and industrial organization economics. Dr. Ouyang is available for academic supervision and actively publishes in top-tier econometrics journals. Education: Ph.D. in Economics, Duke University, 2017 Research Interests: Development of robust econometric methods for causal inference and high-dimensional settings Analysis of longitudinal/panel data, binary choice models, and limited dependent variables Applications in empirical industrial organization, labor, and health economics Recent Research Trends: His work emphasizes semiparametric estimation techniques, dynamic panel models with lagged dependencies, and bundle choice analysis. Notable contributions include addressing heteroskedasticity in high-dimensional binary choice models and improving inference in multinomial response frameworks. Supervision & Grants: Dr. Ouyang is available to supervise graduate students but no specific grants are listed in the provided texts. His contact details include office room 532A in the Colin Clark Building and professional social media profiles (LinkedIn).

KK Tangمشاهده پروفایل

استاد

• Health Economics
• Development Economics
• International Economics
• +۵ مورد دیگر

Professor KK Tang is a faculty member in the School of Economics at The University of Queensland (UQ), holding the rank of Professor. His research focuses on Health Economics, Development Economics, and International Economics, with an emphasis on mental health, health inequality, income insecurity, and trade liberalization. He holds a PhD from the Australian National University, complemented by prior degrees including a Bachelor (Honours) of Science (Advanced) from the University of Hong Kong. His research projects include studies on inequality of opportunity in Australia, the use of public hospitals by private patients, and lifelong education’s impact on health and policy. He has authored over 60 journal articles, contributing to leading journals such as Economics and Human Biology and Journal of Economic Behavior & Organization . Professor Tang is available for student supervision and actively engages in collaborative research initiatives. His work frequently intersects with policy analysis, addressing issues like housing insecurity, financial hardship, and global economic dynamics. He has contributed to interdisciplinary studies on topics ranging from university rankings to supercomputing impacts on high-tech industries.

Hanqing Jinمشاهده پروفایل

دانشیار

• Mathematical Finance
• Stochastic Analysis
• Portfolio Optimization
• +۳ مورد دیگر

Dr. Hanqing Jin is an Associate Professor in the Mathematical Institute at the University of Oxford, specializing in Mathematical Finance and Applied Stochastic Analysis. His research focuses on investor decision-making under non-utility behavior, dynamic portfolio optimization, and stochastic control problems in financial markets. Prior to Oxford, he held an Assistant Professorship at the National University of Singapore. He has contributed to foundational work on mean-variance portfolio selection, behavioral finance, and the application of stochastic processes to financial modeling. His academic background includes extensive work on continuous-time portfolio optimization, risk management frameworks, and the intersection of behavioral economics with quantitative finance. Notable contributions include studies on optimal lockdown policies during pandemics, blockchain consensus algorithms analysis, and the development of novel biomarker detection techniques using Raman spectroscopy. Dr. Jin's research integrates advanced mathematical techniques with real-world financial challenges, bridging theoretical models with practical applications in areas such as robo-advising systems and cryptocurrency frameworks. His work on transaction cost analysis and dynamic mean-variance strategies has been widely cited in both academic and industry contexts.

• Decision Making under Risk and Uncertainty
• Ambiguity and Ambiguity Attitudes
• Experimental Methods
• +۳ مورد دیگر

Prof. C (Chen) Li is a Professor of Behavioural Economics at the Erasmus School of Economics, Erasmus University Rotterdam. Her research focuses on decision making under uncertainty and over time, with particular emphasis on ambiguity attitudes, experimental methods, and gender stereotypes. She has collaborated extensively with scholars like Han Bleichrodt and Peter Wakker, contributing to top-tier journals such as Econometrica and Management Science . Her work bridges theoretical frameworks and empirical evidence, addressing real-world questions like how ambiguity aversion influences social interactions or gender disparities in competitive fields. Key research themes include the dynamics of ambiguity learning, the role of gender stereotypes in risk-taking, and the application of axiomatic models to behavioral economics. Her recent work explores bifurcation questions in multi-component decision optimization and the impact of ambiguity on gender inequality in STEM fields. Li’s experimental designs often incorporate behavioral experiments to measure uncertainty preferences, such as belief hedges and Bayesian updating deviations. Prof. Li’s academic contributions span theoretical advancements (e.g., Source Theory) and applied insights into societal issues. She maintains an active research agenda with ongoing projects on the interplay between ambiguity attitudes and gender representation, as well as the foundational aspects of multi-dimensional decision models. Her work underscores the importance of integrating psychological insights into economic theory to better understand human behavior under uncertainty.

Joseph G. Altonjiمشاهده پروفایل

استاد

• Labor Economics
• Applied Econometrics
• Labor Market Fluctuations
• +۱۰ مورد دیگر

Joseph G. Altonji is the Thomas DeWitt Cuyler Professor of Economics at Yale University and a Research Associate at the National Bureau of Economic Research (NBER). He previously held faculty positions at Columbia University and Northwestern University, and served as a visiting professor at Princeton and Harvard. His academic affiliations include memberships in the Econometric Society, the American Academy of Arts and Sciences, and the Society of Labor Economists (past president). He received the IZA Prize in Labor Economics (2018) and has advised numerous federal and academic bodies, including the Federal Reserve Bank of Chicago and the President’s Council of Advisors on Science and Technology. Altonji’s research focuses on labor economics, applied econometrics, and inequality dynamics. Key areas include labor market fluctuations, education economics, family income dynamics, and wage determination. Current projects address school choice impacts on inequality, graduate degree returns, and the interplay between marriage, earnings, and family income. His methodological contributions include techniques to address selection bias in observational studies, particularly in evaluating school and neighborhood effects. Publications highlight trends in advanced degree returns, decomposition of earnings into wage and hours effects, and analyses of pandemic-era labor market shifts. His work often bridges econometric rigor with policy relevance, emphasizing empirical strategies to isolate causal effects. Altonji’s advisory roles reflect his engagement with real-world economic challenges, from STEM education to unemployment insurance policy design.

Marc Paolellaمشاهده پروفایل

استاد

• Financial Econometrics
• Time Series Analysis
• Portfolio Optimization
• +۴ مورد دیگر

Marc Paolella is a Full Professor of Empirical Finance at the University of Zurich's Department of Finance. His academic journey includes roles as Associate Professor (2003–2006) and Assistant Professor (1999–2003) at Kiel University and visiting positions at the University of Geneva. He holds a Dr. sc. pol. (1998) and Habilitation (2002) from Kiel University, alongside degrees from SUNY Stony Brook and Colorado State University. His research focuses on financial econometrics, emphasizing portfolio optimization, risk prediction, and saddlepoint approximation theory. He has authored four textbooks, including works on probability theory, statistical inference, and GARCH models. Over 50 journal articles span leading venues like the Journal of Econometrics and Journal of Financial Econometrics. Paolella's contributions include developing methods like CHICAGO for portfolio risk calculation and the COMFORT model for non-Gaussian returns. He serves as Editor-in-Chief of the journal Econometrics and holds editorial roles at multiple journals. Awards include the Elected Fellowship at the IETI and recognition for impactful research. His teaching spans advanced courses in financial econometrics, probability theory, and mathematical finance. He has supervised numerous theses and leads the Quantitative Finance program at the Science ETH UZH. Research grants include Swiss National Science Foundation funding for portfolio optimization under non-elliptical distributions.