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Atsuko Tanaka is an Associate Professor in the Department of Economics at the University of Calgary. Her research focuses on labor markets, health economics, and public policy, particularly examining topics such as female labor supply, skill investment, and pension reforms. She holds a Ph.D. in Economics from the University of Wisconsin-Madison (2013), alongside advanced degrees from Cornell University and the University of Tokyo. Education Ph.D. Economics, University of Wisconsin-Madison (2013) M.S. Economics, University of Wisconsin-Madison (2010) M.S. Applied Economics and Management, Cornell University (2007) B.A. Agricultural Economics, University of Tokyo (2004) Research Interests Tanaka’s work explores how health shocks, financial constraints, and policy interventions influence labor market outcomes. She investigates topics such as post-educational skill accumulation via college loans, strategic medical treatment choices under reimbursement reforms, and the macroeconomic effects of pension system transitions. Her research combines rigorous econometric methods with real-world administrative data to inform evidence-based policy. Awards and Grants SSHRC Connection Grant (2022, co-PI: Apostolos Serletis) National Science Foundation Extreme Science Grant (2021) SSHRC Insight Development Grant (2016) Susan Jane Blake Kocin Award, University of Wisconsin-Madison (2011) Grants and Collaboration Her research has been supported by major grants, including SSHRC and NSF funding. She collaborates with scholars on projects like analyzing physician behavior under reimbursement reforms, auditing firm dynamics, and international aid allocation strategies. Her work bridges theoretical models with empirical evidence to address complex socio-economic challenges.

• Labor Economics
• Health Economics
• Public Economics
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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.

• Macroeconomics
• Monetary Economics
• Financial Economics
• +7 more

Tomasz Strzalecki is a Professor in the Department of Economics at Harvard University. His research centers on decision theory, with a focus on ambiguity aversion , temporal preferences , stochastic choice , and bounded rationality . He earned his PhD in Economics from Northwestern University in 2008. Education: PhD in Economics (2008), Northwestern University His scholarly work spans theoretical and applied economics, including key contributions to random utility models , dynamic decision-making , and neuroeconomic modeling . Recent publications, such as Stochastic Choice Theory (2025) and Variational Bayes and non-Bayesian Updating (2024), reflect his ongoing exploration of Bayesian inference and behavioral deviations. Earlier work in Econometrica and American Economic Review established foundational models for choice aversion , time inconsistency , and ambiguity evaluation . Tomasz’s research has been published in top journals like Econometrica , American Economic Review , and Proceedings of the National Academy of Sciences , covering themes such as probabilistic sophistication , decision timing , and collective action in development economics. His co-authors include prominent economists like Drew Fudenberg, Mira Frick, and Larry Epstein.

• Decision Theory
• Behavioral Economics
• Microeconomics
• +4 more

Samuel W.K. Wong is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. He holds a Ph.D. in Statistics from Harvard University (2013) under Prof. Samuel Kou. His research focuses on statistical methodology for complex data science challenges in protein structure modeling, dynamic systems inference, and reliability engineering of wood-based products. He has held academic positions at the University of Florida (2013–2018) and has been at Waterloo since 2018. His research interests include Bayesian computation, statistical inference for dynamic systems, and spatial-temporal data analysis. Notable contributions include the development of manifold-constrained Gaussian processes (MAGI package) and sequential Monte Carlo methods for protein folding studies. He has advised over 15 graduate students and researchers, many of whom are now in academic or industry roles worldwide. Wong has received teaching distinctions at Harvard and holds awards including the Nash Medal (2008) for academic excellence. His work bridges computational statistics with applications in bioinformatics, structural engineering, and environmental science. He has published extensively in top-tier journals like Journal of Computational and Graphical Statistics and Biometrics , and collaborates with wood scientists to improve real-time lumber quality assessment using laser imaging data. His teaching portfolio includes courses on probability theory, statistical inference, and spatial data analysis at both undergraduate and graduate levels. Beyond academia, he maintains an active passion for classical piano performance, having performed recitals combining music with his statistical research interests.

• Data Science Methodology
• Protein Structure Analysis
• Reliability Engineering
• +4 more

Anming Zhang serves as a Professor in the Operations and Logistics Division of UBC's Faculty of Commerce and Business Administration, holding the prestigious Vancouver International Airport Authority Professorship in Air Transportation. His academic foundation includes a B.Sc. from Shanghai Jiao-Tong University and M.Sc./Ph.D. degrees from the University of British Columbia. Education : B.Sc. (Shanghai Jiao-Tong University), M.Sc. & Ph.D. (University of British Columbia) His research focuses on Transport Economics and Policy , Air Cargo Logistics , and Industrial Organization , with particular expertise in air-rail competition dynamics, pandemic impacts on aviation, and infrastructure economics. Zhang employs advanced methodologies including spatial econometrics and complex network analysis to examine transportation systems. Analysis of his 2024-2025 publications reveals three dominant trends: (1) Resilience of global air networks against pandemics and geopolitical conflicts, (2) Economic implications of urban air mobility integration, and (3) Non-aeronautical revenue optimization in airport management. His work increasingly bridges transportation economics with environmental sustainability concerns. Zhang actively supervises graduate students in Transportation & Logistics MSc and PhD programs within Business Administration, teaching undergraduate courses including Logistics and Operations Management and Air Transportation. He maintains strong institutional ties through the Center for Transportation Studies and collaborates extensively with international researchers on aviation policy challenges.

• Transport Economics
• Transport Policy
• Air Cargo Logistics
• +4 more

Thierry Warin is a Full Professor of Data Science for International Business at HEC Montréal, directing the Department of International Business. He holds the Professorship in Data Science for International Business and is a Principal Investigator at CIRANO, leading the World Economy theme. His roles include affiliations with Harvard Business School’s Microeconomics of Competitiveness program and the International Trade and Finance Association presidency (2020-2022). Education: PhD from ESSEC Business School (France, 2000). Professional development includes the Harvard Business Analytics Program (2018-2020) and GIS training at Harvard. Research Interests: Data science applications in global economic transformations, including network theory, natural language processing, and computational methods. Focus areas: algorithmic collusion, platform economies, and metadata-driven analyses. He develops open-source tools like the statcanR package and advocates for reproducible research. Articles Trends: Recent work explores AI regulation, algorithmic competition, climate transition plans, and central bank speech analysis. Methodologies span structural topic modeling, social media analytics, and entropy-based frameworks. Awards: Honored with the Highly Commended Paper Award (2017-2018) and Emerald Literati Award (2018) for reverse innovation research. Recognized for contributions to computational social science and regulatory frameworks. Advising & Grants: Supervised 16 master’s projects since 2019, focusing on data science applications in global business challenges. Active in interdisciplinary initiatives like the St. Lawrence–Great Lakes corridor data hub. Labs & Philanthropy: Founded quantum simulations and leads Ed’Haîti , an NGO addressing education in Haiti. Collaborates on Science des données au féminin en Afrique , empowering 200 African women with data science skills.

• Data Science for Global Transformations
• Platform Economy
• Industrial Organization
• +7 more

Ankush Agarwal is an Associate Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. His research focuses on mathematical finance, financial statistics, and Monte Carlo methods, with applications to risk management and derivatives pricing. He supervises PhD students in quantitative finance and has taught courses on Monte Carlo methods and advanced financial modeling at Western University. Education: PhD in Mathematics from Tata Institute of Fundamental Research (2015) Research interests span regime-switching models, longevity risk hedging, stochastic differential equations, and rare event simulation. His work combines theoretical probability with computational techniques for financial applications. Recent publications include studies on McKean-Vlasov SDEs, implied Sharpe ratio estimation, and optimal portfolio strategies under stochastic volatility. These works demonstrate his expertise in stochastic processes and financial engineering. Supervision: Current PhD advisees include Ying Liao, Buchun Wang, and Shuya Zhang at the University of Glasgow. Former advisees include Yongjie Wang and Yihan Zou.

• Mathematical finance
• Data science in finance
• Financial statistics
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Prosper Dovonon serves as a Full Professor in the Department of Economics at Concordia University in Montreal, Canada, where he holds a prestigious Concordia University Research Chair, Tier 1, in Econometrics of Large Datasets. He previously held positions as Associate Professor (2015-2023) and Assistant Professor (2010-2015) at the same institution. Additionally, he maintains an adjunct professorship at the University of Adelaide's School of Economics since 2021 and previously served as a Visiting Professor at HEC Montreal's Department of Finance (2017-2018). His educational background includes a PhD in Economics from Universite de Montreal (2007), an MSc in Statistics and Economics from ENSEA, Abidjan, Cote d'Ivoire (2000), and an MSc in Mathematics from Universite Nationale du Benin, Abomey-Calavi, Benin (1996). Dovonon's research focuses on advanced econometric methodologies, particularly in time series analysis and financial econometrics. His work addresses complex identification issues, develops robust estimation techniques, and creates innovative testing procedures for economic models. He specializes in moment condition models, GMM estimation, volatility modeling, and handling identification failures in econometric frameworks. His publication record shows a consistent focus on theoretical econometrics with practical applications in finance. Recent work emphasizes mixed identification strength scenarios, instrument exogeneity testing, and specification testing under challenging identification conditions. His research demonstrates increasing sophistication in handling complex econometric problems with real-world financial data applications. His notable recognition includes the Concordia University Research Chair, Tier 1, in Econometrics of Large Datasets, highlighting his significant contributions to the field. Dovonon has supervised numerous graduate students and collaborated extensively with leading econometricians worldwide. His research has been supported by institutional funding through his Research Chair position, enabling significant contributions to econometric theory and methodology. He maintains active research collaborations across international institutions and continues to push the boundaries of econometric theory with applications to financial markets and economic modeling.

• Econometrics
• Time Series Analysis
• Financial Econometrics
• +2 more

Umut Oguzoglu is a Professor of Economics at the University of Manitoba , with a longstanding affiliation as a Research Fellow at IZA . His research spans labour economics , health economics , economics of education , and applied microeconometric methods . PhD, Economics, University of Guelph MA, Economics, University of Guelph BA, Economics, Marmara University His methodological expertise includes panel data analysis , dynamic modeling , and instrumental variable techniques . Recent projects examine: Intergenerational health behavior transmission Physician relocation impacts on healthcare Sibling sex composition and STEM major choices COVID-19's effect on traffic accidents Gambling-community economic linkages Scientific awards include the 2020 Best Paper Prize from The Economic Record. He has supervised 3 PhD students, 13 MA/MSc students, and served on 16 thesis committees. Major grants include: SSHRC Partnership Grant (2020-2027) for poverty solutions CIHR grant (2020-2023) for lupus employment research Manitoba Gambling Research Program grant (2015)

• Labour Economics
• Health Economics
• Econometrics
• +3 more

Zhenzhen Fan is an Assistant Professor of Finance at the Lang School of Business and Economics, University of Guelph (Guelph, Canada). She holds a PhD from the University of Amsterdam and previously served as an Assistant Professor at the University of Manitoba (Winnipeg, Canada). Her research focuses on theoretical/empirical asset pricing, financial derivatives, international finance, and textual analysis in finance. Education: PhD in Finance, University of Amsterdam (Netherlands) Her work explores topics such as currency risk premiums, macroeconomic announcement returns, and post-crisis financial market dynamics. She is affiliated with the FIRM lab and teaches courses like FIN 3100 Corporate Finance and FIN 3000 Investments. Funding: SSHRC Insight Development Grant (2023-current) Canadian Derivatives Institute Grant (2018-2020) Upcoming research includes examining market disagreement effects on macroeconomic announcement returns, to be presented at the Eastern Finance Association conference (Philadelphia, April 2024).

• Asset Pricing
• Financial Derivatives
• International Finance
• +3 more

Thomas Lemieux is a Professor at the Vancouver School of Economics within the Faculty of Arts at the University of British Columbia , where he has been affiliated since 1999. Previously, he taught at MIT and the Université de Montréal. Born in Quebec City, he earned his Ph.D. from Princeton University. Research Interests: His work focuses on labor economics and econometric methods , particularly analyzing earnings inequality , unionization effects , regression discontinuity designs , and educational returns . He employs advanced decomposition techniques to study wage dynamics across gender, immigration status, and sectoral divides. Scientific Awards: Fellow, Royal Society of Canada Fellow, Society of Labor Economists Research Fellow, Institute for the Study of Labor (IZA) Research Associate, National Bureau of Economic Research (NBER) Publications: He has published extensively in top journals like the Quarterly Journal of Economics , Econometrica , and Journal of Labor Economics , with recent work examining: Union wage premiums using matched employer-employee data Spillover effects of minimum wage policies Changes in task prices and occupational wages Top income dynamics in Canada Immigrant wage gaps across education sources Regression discontinuity identification challenges Canadian labor market responses to the Great Recession

• Labor Economics
• Econometrics
• Income Inequality
• +4 more

Maurice D. Levi was a distinguished Professor of Economics at the University of British Columbia (UBC), affiliated with the Sauder School of Business. He held academic roles including Visiting Assistant Professor (pre-1974) and full Professor, contributing significantly to research and education. His career began with a Killam Post-Doctoral Teaching Fellowship at UBC in 1972. Education: B.A. Economics (First Class Honors, University of Manchester, 1967); M.A. (University of Chicago, 1968); Ph.D. Economics (University of Chicago, 1972). Research focused on econometrics, behavioral economics, and market psychology. Notable works include analyses of stock market cycles, daylight saving anomalies, and hormonal influences on M&A decisions. He authored influential textbooks like International Finance (5 editions) and Thinking Economically , translated globally. Awarded eight teaching awards for his ability to simplify complex economic concepts. He chaired the Finance Division (four terms) and the Centre for International Business Studies, and served on UBC's Appointment Promotion and Tenure Committee and Senior Appointments Committee. His legacy includes fostering interdisciplinary scholarship and collegial mentorship. Donations in lieu of flowers were directed to the Parkinson Society of BC, reflecting his family’s wishes.

• Econometrics
• Behavioral Economics
• Market Psychology
• +3 more

Dr. Shakhawat Hossain is a Professor of Statistics at the University of Winnipeg, serving as Chair starting July 2025. He holds adjunct positions at the University of Manitoba and University of Regina. His academic journey includes a PhD from the University of Windsor (2008), postdoctoral training at the University of Alberta's School of Public Health (2008–2010), and prior faculty roles at Alabama A & M University. He specializes in advanced statistical methodologies with applications in health sciences and epidemiology. Dr. Hossain's education includes: Ph.D. in Statistics, University of Windsor M.Sc. in Statistics, University of Alberta M.Sc. in Mathematics, Jahangirnagar University, Bangladesh B.Sc. (Hons.) in Mathematics, Jahangirnagar University, Bangladesh His research focuses on shrinkage estimation techniques , longitudinal data analysis , survival analysis , and health services research . He actively applies these methods to study dengue transmission dynamics, neuroimaging correlates of developmental disorders, and clinical outcomes in pediatric populations. His work bridges theoretical statistical innovation with real-world public health challenges. Dr. Hossain currently holds an NSERC Discovery Grant supporting student research. His 2023-2024 publications emphasize spatial epidemiology, advanced survival models, and dengue fever dynamics. He serves as Associate Editor of the Journal of Statistical Computation and Simulation . His advisory and grant activities include mentoring students in statistical modeling and securing funding for interdisciplinary health projects. While specific lab affiliations are not explicitly stated, his collaborations span departments in statistics, public health, and biomedical sciences.

• Statistical Methodology
• Longitudinal Data Analysis
• Survival Analysis
• +4 more

Nicolás de Roux is an Associate Professor in the Department of Economics at Universidad de los Andes in Bogotá, Colombia. He holds a PhD in Economics from Columbia University and an MA from Universidad de los Andes. His academic work focuses on applied microeconomics with a specialization in development economics, particularly examining firm behavior, financial inclusion, agricultural economics, and labor markets in developing countries. He actively contributes to the academic community as a co-organizer of the biweekly Virtual Development Seminar (VDEV/CEPR/BREAD). De Roux's research interests center on understanding economic development challenges in the Global South, with particular emphasis on how weather shocks affect agricultural productivity, labor market power in developing economies, and the impacts of trade disruptions on firm performance. His interdisciplinary approach combines rigorous econometric methods with theoretical insights to address pressing development issues. His work demonstrates how microeconomic analysis can inform policy decisions that improve economic outcomes for vulnerable populations in developing countries. His publications span multiple high-impact journals including the Journal of Labor Economics, The Review of Financial Studies, and Journal of Public Economics. De Roux's research demonstrates consistent focus on labor markets, agricultural productivity, and financial inclusion, with recent work examining how weather risk affects small farms, the extent of employer power in developing country labor markets, and how firms adapt to trade partner collapse. His research methodology typically combines detailed administrative data with innovative econometric approaches to establish causal relationships. Featured Economist Interview, International Economic Association (IEA), July 2025 De Roux has mentored numerous students through his teaching at Universidad de los Andes, where he teaches courses including Introduction to Mediation, Econometrics 1, and Haciendo Economía 1. His research collaborations extend across multiple institutions, working with economists from around the world including Giacomo De Giorgi, Garance Genicot, Gianmarco León-Ciliotta, and Eric Verhoogen. His work on academic tracking revealed the counterintuitive finding that students perform better when they're at the top of a lower-ability group rather than at the bottom of a higher-ability group, challenging conventional wisdom about educational tracking. His research team includes collaborators working on projects examining internet access and banking competition in rural credit markets, as well as quality upgrading in the Colombian coffee sector. De Roux maintains an active presence in policy discussions through media outlets like VoxDev, World Bank blogs, and Colombian publications including Foco Económico and La República.

• Development Economics
• Applied Microeconomics
• Firm Behavior
• +3 more

Dr. Saumen Mandal is a Professor in the Department of Statistics at the University of Manitoba, Faculty of Science. He holds a PhD from the University of Glasgow, UK, and MSc/BSc (Gold Medal) from the University of Calcutta, India. His research focuses on optimal experimental design, biostatistics, data science, shrinkage estimation, and constrained optimization. He has received numerous teaching awards including the Dr. and Mrs. H.H. Saunderson Award for Excellence in Teaching, Students Choice Best Professor Award, and multiple Merit Awards. He is also a P.Stat. designee from the Statistical Society of Canada. Education: PhD (Statistics), University of Glasgow, UK MSc (Statistics), University of Calcutta, India (First Class First, Gold Medal) BSc Honours (Statistics), University of Calcutta, India Research Interests: Optimal design theory and applications Biostatistical methods for clinical trials and healthcare data Data science and machine learning techniques Shrinkage estimation and model selection Linear models and goodness-of-fit testing Publications span topics like optimal regression designs, response-adaptive clinical trial methods, and statistical models for healthcare data. His work emphasizes practical applications in medicine and data-driven decision making. Awards include: Teaching Excellence Awards (2005-2007) Merit Awards for Teaching and Research (2010-2019) Faculty of Science Innovation in Teaching Award (2020) He advises graduate students in statistics and contributes to research teams in biostatistics and data science. His office is temporarily located at 256 Parker Building during construction.

• Optimal experimental design
• Biostatistics
• Data science
• +7 more