جستجوی استاد راهنمای دانشگاهی

J.N.K. Raoمشاهده پروفایل

استاد پژوهش

• Statistics
• Survey Sampling
• Statistical Inference
• +۳ مورد دیگر

J.N.K. Rao is a Distinguished Research Professor in the Department of Mathematics & Statistics at Carleton University. A leading expert in survey sampling and statistical inference, he has made groundbreaking contributions to small area estimation (SAE) and data integration methodologies. Research Focus: Specializes in survey methodology, poverty mapping, Bayesian inference, and empirical likelihood techniques. Honors: Gold Medal of the Statistical Society of Canada (1993), Fellow of the Royal Society of Canada (1991), Waksberg Award (2005), SAE Outstanding Achievement Medal (2017). His recent work explores model-based SAE, combining probability and non-probability samples, and improving inference validity through robust calibration. Awards highlight his decades-long impact on statistical theory and practice. Email: jrao@math.carleton.ca

Manuel Moralesمشاهده پروفایل

دانشیار

• Financial Mathematics
• Actuarial Science
• Machine Learning Applications in Finance
• +۵ مورد دیگر

Manuel Morales is an Associate Professor in the Department of Mathematics and Statistics at the University of Montreal since 2005. He holds a Ph.D. in Mathematics (2003) from Concordia University, an M.Sc. in Statistics (2000) from Concordia, and a B.Sc. in Mathematics (1996) from the National Autonomous University of Mexico. His research focuses on Financial and Actuarial Mathematics, particularly in Ruin Theory, Lévy processes, and High-Frequency Finance. He leads applied projects integrating Machine Learning in Banking and ESG Investment, and has pioneered AI governance frameworks at the National Bank of Canada as their Chief AI Scientist. Education: Ph.D. Mathematics, Concordia University, 2003 M.Sc. Statistics, Concordia University, 2000 B.Sc. Mathematics, National Autonomous University of Mexico, 1996 Research Interests: His work spans theoretical and applied directions, including non-Gaussian option pricing, regime-switching models, Limit Order Book dynamics simulation, and AI applications in finance. He emphasizes responsible investment and ESG factors through alternative data analysis. Advising & Partnerships: Supervises Master’s/Ph.D. students in Insurance and Financial Mathematics. Leads the FinML Network (since 2018) and collaborates with industry partners like the National Bank of Canada on AI-driven financial projects. His grants and contracts enable applied research in high-frequency market surveillance and model governance. Labs & Teams: Directs the FinML Network and oversees the National Bank’s AI initiatives, focusing on AI governance and algorithmic trading strategies.

• Business Analytics
• Operations Research/Management
• Operational Analytics
• +۷ مورد دیگر

Mehdi Toloo is a Reader in Business Analytics at the University of Surrey's Surrey Business School. He holds a BSc, MSc, and PhD, and is a docent. Previously, he was a Professor at Technical University of Ostrava (Czech Republic) and Sultan Qaboos University (Oman). His research focuses on Business Analytics, Operations Research, Data Envelopment Analysis (DEA), and Decision Analysis. He has supervised over 40 postgraduate students and contributed to top-tier journals like European Journal of Operational Research and Omega. He is an editor for journals including Computers & Industrial Engineering and Decision Analytics. Recognized globally, he ranks in the top 2% of scientists worldwide in Business Analytics & Operations Research (2020-2024). His research projects include performance evaluation with unclassified factors, economies of scope in network DEA, and selective measures in DEA. He collaborates internationally on projects like robust optimization and supply chain sustainability. His teaching spans undergraduate courses in Operations Research, Mathematics for Business, and Programming, alongside postgraduate modules on Quantitative Methods and Advanced DEA. His work bridges theoretical and applied research, with applications in healthcare, renewable energy, and public policy.

Alejandro Gutierrez-Liمشاهده پروفایل

استادیار

• Labor Economics
• Applied Microeconomics
• Economics of Immigration
• +۴ مورد دیگر

Alejandro Gutierrez-Li is an Assistant Professor in the Department of Agricultural and Resource Economics at North Carolina State University (NC State), located in the College of Agriculture and Life Sciences. He is affiliated with the Nelson Hall 433 office and can be reached at alejandro-gli@ncsu.edu. His expertise spans labor economics, applied microeconomics, immigration economics, entrepreneurship, and agricultural labor dynamics. Research Interests: Gutierrez-Li focuses on the intersection of labor markets and immigration policy, particularly their impacts on self-employment and agricultural sectors. He also examines entrepreneurial behavior in migrant communities and the role of technology in modern farming practices. His work integrates empirical methods from econometrics to analyze structural economic issues, such as banking systems in Costa Rica and fiscal morality in Latin America. Publications Trends: Recent articles (2020s) emphasize the economic contributions of immigrants to U.S. agriculture and the labor-market effects of immigration policies. Earlier works (2010s) explored banking sector efficiency and market dynamics in Costa Rica. His research bridges microeconomic analysis with real-world policy implications, reflecting a shift from historical institutional studies toward contemporary labor and immigration challenges in agriculture. Awards: None listed. Advising & Grants: Gutierrez-Li has no listed advisees, and grant details are not provided in the text. He contributes to the Economics Graduate Program at NC State, fostering academic collaboration through initiatives like the Supply Chain Resource Cooperative (SCRC) and Technology Commercialization and Entrepreneurship (TEC) programs. Labs/Teams: He is part of the Economics Graduate Program and engaged with departmental initiatives focusing on business sustainability, risk management, and supply chain innovation.

Angelo Mazzaمشاهده پروفایل

استاد

• Spatial Demography
• Demography
• Migrations
• +۳ مورد دیگر

Angelo Mazza is a Full Professor of Demography at the Department of Economics and Business, University of Catania, Italy. His research focuses on spatial demography, migrations, mortality, and the application of computational statistical methods, including GIS and spatial analysis. Mazza earned his Ph.D. from the University of Catania in 2000 and a cum laude degree in Economics and Business in 1997. His work spans several key areas: analyzing residential segregation patterns of immigrants using spatial statistics, developing R packages for statistical modeling (e.g., flexCWM, DBKGrad), and investigating migration dynamics in urban contexts such as Catania and Naples. Recent studies include exploring vaccination sentiment on social media and fine-scale spatial data modeling of migrant settlements in Europe. Mazza's contributions to statistical methodologies, including bias correction in demographic indices and cluster-weighted models, have been published in top journals like Journal of Statistical Software and Spatial Demography . His interdisciplinary research bridges demography, economics, and computer science, with applications in public health and urban policy. Education : Ph.D., University of Catania, 2000 Laurea cum laude in Economics and Business, 1997 Key Research Themes : Spatial demography and GIS applications Migrant settlement patterns and segregation Statistical modeling of demographic data Public health and vaccination trends Notable Contributions : Developed R packages: KernSmoothIRT, DBKGrad, SDD, flexCWM, ContaminatedMixt Leading studies on segregation bias correction and cluster-weighted modeling

Lawrence Jinمشاهده پروفایل

استادیار

• Behavioral Economics
• Health Economics
• Environmental Economics
• +۳ مورد دیگر

Lawrence Jin is an Assistant Professor of Economics at the Lee Kuan Yew School of Public Policy, National University of Singapore (NUS). He holds a PhD in Economics and a BA in Mathematics & Economics from Cornell University. His research focuses on behavioral economics, health economics, environmental economics, and cost-benefit analysis, with an emphasis on applying econometric and experimental methods to inform public policy. His academic work spans topics such as physician decision-making, consumer behavior under misinformation, and the economic impacts of health policies. He has published in leading journals like Nature Human Behaviour , Review of Economic Studies , and American Economic Review . Courses taught include PP5203 - Behavioral Economics and Public Policy . Lawrence’s research explores how behavioral insights can address societal challenges, such as vaccine hesitancy, smoking cessation, and infrastructure resilience. His recent studies investigate replicability in social science experiments and the role of decision markets in selecting research priorities. He maintains an active research profile with collaborations in interdisciplinary fields, including health economics and environmental policy. His work bridges theoretical frameworks with real-world policy applications, aiming to enhance decision-making in public health and economic development.

Paul Huebnerمشاهده پروفایل

استادیار

• Asset Pricing
• Macro-Finance
• Financial Intermediation
• +۳ مورد دیگر

Paul Huebner is an Assistant Professor at the Department of Finance, Stockholm School of Economics, and a resident researcher at the Swedish House of Finance. His research focuses on asset pricing, macro-finance, and the interplay between institutional asset demand and market dynamics. He holds a Ph.D. in Finance from the University of California, Los Angeles (UCLA). Research interests include portfolio decisions and asset prices, with emphasis on deriving economic insights from quantitative data and developing methods to analyze their joint behavior. His work addresses questions such as the competitiveness of stock markets, implications of passive investing, and the role of institutional investors. Recent publications include studies on causal inference in asset pricing and the competitive dynamics of stock markets, with implications for passive investment strategies. His research has been presented at the Swedish House of Finance and related academic platforms. Affiliations include the Swedish House of Finance where he contributes to national and international research initiatives. His work bridges theoretical models with empirical evidence, emphasizing policy-relevant insights for financial markets and institutions.

Andrew J. Pattonمشاهده پروفایل

استاد

• Financial Econometrics
• Volatility Forecasting
• High-Frequency Financial Data Analysis
• +۴ مورد دیگر

Andrew J. Patton is the Zelter Family Distinguished Professor and Professor of Economics at Duke University's Trinity College of Arts & Sciences, holding these roles since 2016 and 2013 respectively. Previously, he served as Associate Professor of Economics at Duke from 2009 to 2013. Patton holds a Ph.D. and M.A. from the University of California, San Diego (2002 and 2000), and a B.Bus. from the University of Technology Sydney (1998). His research focuses on financial econometrics, particularly volatility forecasting, dependence modeling, high-frequency financial data analysis, and hedge fund dynamics. He has published extensively in top journals such as the Journal of Finance , Journal of Financial Economics , and Econometrica . His recent work includes advancements in realized semicovariances, k-means clustering for unobserved heterogeneity, and risk price variations. Patton’s 2016 Distinguished Professorship reflects his scholarly impact. His research emphasizes practical applications, such as improving volatility forecasts and addressing market anomalies’ trading costs.

Duarte Gonçalvesمشاهده پروفایل

استادیار

• Microeconomic Theory
• Behavioral Economics
• Information Economics
• +۴ مورد دیگر

Duarte Gonçalves is an Assistant Professor in the Department of Economics at University College London (UCL). He holds a Ph.D. in economics from Columbia University (2021). His research focuses on microeconomic theory and behavioral economics, with emphasis on information economics, strategic behavior, and the implications of online recommender systems. His work bridges theoretical frameworks with empirical applications, particularly in understanding decision-making dynamics and market mechanisms. Key research areas include sequential sampling equilibrium, incentives in strategic settings, and the welfare effects of platform dual roles. Collaborations with scholars like Guy Aridor, Teresa Esteban-Casanelles, and Jonathan Libgober have produced influential papers in top journals such as Econometrica and the American Economic Review. His field experiments on platforms like MovieLens explore user behavior and algorithmic impacts, contributing to both theoretical and applied economics. Gonçalves’ recent work addresses topics such as robust statistical mechanisms, complexity in decision processes, and the informational role of recommendation systems. His contributions span experimental economics, game theory, and computational social choice, reflecting a commitment to interdisciplinary approaches.

Johanna Arlinghausمشاهده پروفایل

استادیار

• Environmental Economics
• Climate Policy
• Fiscal Policy
• +۳ مورد دیگر

Johanna Arlinghaus is an Assistant Professor of Economics and Sustainability at the Hertie School in Berlin and an Honorary Research Affiliate at the University of Oxford. She holds a PhD in Economics from TU Berlin and the Mercator Research Institute, an MPP from the Hertie School, and a BSc from Maastricht University. Her research focuses on fiscal and climate policy, particularly the design and evaluation of policy instruments for emissions mitigation and carbon removal, using econometric methods and large micro-level datasets. Prior roles include postdoctoral research at the Smith School of Enterprise and the Environment (University of Oxford) and a four-year tenure as an economist at the OECD, where she led projects on energy taxes and emissions trading systems. She is affiliated with the Institute for New Economic Thinking (INET Oxford), the Mercator Research Institute, and the CO₂RE Greenhouse Gas Removal Hub. Her work contributes to initiatives like Oxford Net Zero, emphasizing sustainable development alongside net-zero goals. Recent research explores policy framing effects on public support, as seen in her study analyzing toll policy acceptance in Berlin and Paris. Her affiliations and collaborations reflect interdisciplinary engagement in sustainability economics and policy implementation.

Larry V. Hedgesمشاهده پروفایل

استاد

• Statistical Methods in Social Sciences
• Meta-Analysis
• Education Policy Evaluation
• +۳ مورد دیگر

Larry V. Hedges is the Board of Trustees Professor of Statistics and Social Policy at Northwestern University's School of Education and Social Policy (SESP), one of the university's most distinguished academic positions. He also holds affiliations with the Institute for Policy Research and previously served as the Stella M. Rowley Professor at the University of Chicago. His work focuses on statistical methods for meta-analysis, evaluation research, and interdisciplinary applications across social, medical, and biological sciences. Education: PhD (1980), Mathematical Methods in Educational Research, Stanford University MA (Statistics), Stanford University BA (Mathematics), University of California, San Diego Research Interests: Development and application of statistical techniques for meta-analysis, causal inference, and evidence-based policy evaluation. Notable areas include frameworks for international comparative education studies, cost analysis of systematic reviews, and gender/ethnic gaps in academic achievement. Awards: Yidan Prize for Education Research (2018) – World's largest education award Sells Award for Distinguished Multivariate Research (2014) Statistician of the Year (2013) Fellowships: American Academy of Arts and Sciences, American Statistical Association, National Academy of Education Professional Contributions: Co-founder of the Society for Research on Educational Effectiveness, member of the National Education Sciences Board, and contributor to major initiatives like the What Works Clearinghouse. His work emphasizes rigorous methodological standards across disciplines. Labs/Teams: Leads methodological research through SESP and collaborative projects at the Institute for Policy Research, focusing on policy-relevant statistical innovations.

Weihua Anمشاهده پروفایل

استاد

• Network Analysis
• Causal Inference
• Bayesian Analysis
• +۳ مورد دیگر

Dr. Weihua An is a Professor of Sociology and Quantitative Theory and Methods at Emory University, with affiliations at The East Asian Studies Program, Goizueta Business School, and Rollins School of Public Health. He holds a Ph.D. in Sociology and A.M. in Statistics from Harvard University, with postdoctoral training at Harvard Kennedy School. His research focuses on network analysis, causal inference, Bayesian methods, and their applications to social inequality, health, and organizations. He has authored influential statistical software packages like 'fglsnet' and 'keyplayer' and edited special issues in top journals. His work bridges methodological innovation with substantive social science topics, including peer effects, policy diffusion, and network-based interventions. He has advised over 27 Ph.D. dissertations and received the Emory Faculty Teaching Award and the Clifford Clogg Award. Education: PhD in Sociology, Harvard University, 2011 MA in Statistics, Harvard University, 2009 MA in Economics, Claremont Graduate University, 2005 MA in Political Science, Peking University, 2002 BA in Public Administration, Wuhan University, 1999 Research Interests: Network Analysis, Causal Inference, Bayesian Analysis, Social Inequality, Health Policy, Organizational Studies. His methodological work emphasizes rigorous statistical frameworks for analyzing complex social systems. Grants & Awards: Funded by NIH, NSF, and U.S. Census Bureau Editor of Sociological Methodology Recipient of Clifford Clogg Award (ASA) Labs & Collaborations: Involved in interdisciplinary projects at Emory’s Institute for Quantitative Theory and Methods and collaborations with institutions like The Carter Center and Harvard University.

Alexis Akira Todaمشاهده پروفایل

استاد

• Macro-finance
• Asset price bubbles
• Power law in economics and finance
• +۲ مورد دیگر

Alexis Akira Toda is a Professor in the Department of Economics at Emory University since 2024. Previously, he held academic positions at UC San Diego for 11 years, including roles as Associate and Assistant Professor. He holds a Ph.D. in Economics from Yale University (2013) and an M.D. from the University of Tokyo (2004). His research spans macro-finance, asset price bubbles, power law phenomena, mathematical economics, and computational economics. Toda’s work has been published in top journals such as Econometrica , Journal of Political Economy , and Review of Financial Studies . His research interests include the necessity of asset bubbles, computational methods for macroeconomic models, and the mathematical foundations of power laws. He has contributed to understanding wealth inequality, optimal epidemic control, and the implications of financial development on capital flows. Awarded the Junko Maru Prize (2021) and the GPIF Finance Award (2021), Toda is also a medical doctor and anesthesiologist. He serves as a co-editor at Journal of Mathematical Economics and an associate editor at Economic Theory . His Erdős number is 3, reflecting his interdisciplinary research reach. Recent work includes studies on unbalanced economic growth, land overvaluation, and the dynamics of housing bubbles. Toda emphasizes clear, concise papers and has authored over 50 publications across economics, mathematics, and medical journals.

Florian Hoffmannمشاهده پروفایل

دانشیار

• Labor Economics
• Macroeconomics
• Applied Econometrics
• +۱۱ مورد دیگر

Florian Hoffmann is an Associate Professor and BIE Director at the Vancouver School of Economics within the Faculty of Arts at the University of British Columbia. He received his Ph.D. from the University of Toronto in 2010 and has established himself as a leading researcher in labor economics. His professional affiliations include membership in the Human Capital and Economic Opportunity Working Group within the Becker-Friedman Institute at the University of Chicago since 2012, Research Fellow at the Halle Institute for Economic Research, Director of the IAB Research Data Center, and Board Member of the Canadian Labour Economics Forum (CLEF). Ph.D., University of Toronto, 2010 Hoffmann's research focuses on the determinants of life-cycle earnings and career dynamics, dynamic discrete choice models of human capital formation, estimation of equilibrium search models, and the importance of student-instructor interactions for academic achievement. His work bridges theoretical econometrics with empirical applications in labor markets. His research has identified significant effects of demographic matching between instructors and students, showing that the performance gap between white and underrepresented minority students falls by roughly half when taught by an underrepresented minority instructor. Hoffmann's publications appear in top economics journals including the American Economic Review, Journal of Economic Perspectives, The Review of Economics and Statistics, and Journal of Human Resources. His recent work has examined growing income inequality across advanced economies, complex-task biased technological change effects on labor markets, and Burdett-Mortensen models of on-the-job search. Growing Income Inequality in the United States and Other Advanced Economies (2020) Complex-Task Biased Technological Change and the Labor Market (2017) Burdett-Mortensen Model of On-the-Job Search with Two Sectors (2016) As an educator, Hoffmann teaches several courses at UBC including ECON 326 (Methods of Empirical Research), ECON 360 (3rd Year Labour Economics), and ECON 460 (4th Year Labour Economics). He has also been invited to teach labor economics courses at the Bavarian Graduate Program in Economics and the University of Halle-Wittenberg. His research methodology combines sophisticated econometric techniques with large administrative datasets to address fundamental questions about labor market dynamics.

• Empirical Economics
• Econometrics
• Long-run Growth
• +۵ مورد دیگر

Prof. Markus Ludwig is a Professor of Economics, specializing in Empirical Economics and Econometrics at the Carl-Friedrich-Gauss Faculty of Technische Universität Braunschweig. He leads research on long-run growth, economic history, health, climate change, and political economy. Previously, he held postdoctoral positions at the University of Bayreuth and the University of Basel, where he earned his PhD in 2014. He is a CESifo Research Fellow and active in the German Economic Association’s Development Economics Research Group. Education: PhD in Economics from University of Basel (2014) His research employs econometric methods to address interdisciplinary questions such as the impact of malaria on urbanization, the role of transport networks in economic integration, and the socio-political consequences of health crises like Ebola. He has contributed to high-impact journals including the Review of Economic Studies and Economic Journal . Awards: CESifo Research Fellowship (ongoing) While no advisees are listed, his work intersects with climate activism through studies on movements like Fridays for Future. He collaborates with international researchers and contributes to policy-relevant analyses on development and environmental challenges. Labs/Teams: Member of the TU Braunschweig’s Research Group on Development Economics and affiliated with the CESifo network.