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Vikrant VazeView profile

Associate Professor

• Transportation Optimization
• Aviation Systems
• Healthcare Analytics
• +3 more

Vikrant Vaze is the Stata Family Career Development Associate Professor and Executive Director of the Master of Engineering Management Program at Dartmouth's Thayer School of Engineering. He leads research in transportation systems, aviation optimization, and healthcare analytics, developing data-driven solutions for complex logistics challenges. His work integrates game theory, statistical modeling, and large-scale optimization. Research spans sustainable urban mobility, airline disruption recovery, multimodal pricing alliances, and healthcare operations. Articles consistently focus on optimization algorithms for real-world transportation and healthcare systems, with recent emphasis on electric aerial mobility and pandemic-responsive logistics. Major Awards: INFORMS Aviation Applications Best Paper (2024, 2023) AGIFORS Best Innovation Award (2024) NSF CAREER Award (2018) President of India Gold Medal As founding co-director of the Operations Research Group, he collaborates with industry partners like Multivariate Systems to translate academic research into deployable solutions.

João Santos SilvaView profile

Professor

• Econometrics
• Applied Economics
• Quantile Regression
• +4 more

Professor João Santos Silva is a Professor in Economics at the University of Surrey, Department of Economics. His academic journey includes a PhD in Economics from the University of Bristol (1992), a Master's in Applied Mathematics from the Technical University of Lisbon (1988), and a Bachelor's in Economics from the same institution (1985). Prior to Surrey, he taught at the Technical University of Lisbon and the University of Essex. His research focuses on theoretical and applied microeconometrics, with notable contributions in quantile regression, count data models, gravity equations in trade, and mode regression. He co-authored the seminal paper "The Log of Gravity" , recognized as a Classic in Economics. Silva has developed several Stata modules, including fqreg and ppml , advancing econometric software tools. He teaches courses such as ECOM042: Econometrics I and ECOM066: Advanced Econometrics 2. His work has been published in top journals like the Review of Economics and Statistics and Journal of Econometrics . Notable contributions include addressing endogeneity in count data models, machine learning applications in trade research, and analysis of price stickiness in firms. Silva’s research emphasizes methodological rigor and practical relevance in economic analysis.

Joshua BleibergView profile

Assistant Professor

• Education Policy
• Quantitative Research Methods
• Causal Inference
• +3 more

Joshua Bleiberg is an Assistant Professor of Education Policy at the University of Pittsburgh School of Education, specializing in quantitative methods to assess causal effects of education policies on marginalized communities. His research focuses on standards-based reforms (e.g., NCLB, Common Core), inequality in education, quasi-experimental policy analysis, education politics, and teacher labor markets. Ph.D. in Leadership, Policy, and Organization, Vanderbilt University (Peabody College) Master’s in Education Policy and Management, Harvard University B.A. in Political Science, Vassar College Childhood Education Teacher Certification, New York His recent publications analyze state takeovers of school districts, teacher layoffs, and pandemic-era education systems. Awards include the Emerging Education Policy Scholar (Fordham Institute, 2021) and Education Policy Academy Fellow (2018). Bleiberg also engages in professional service roles at the Annenberg Institute and Vanderbilt University.

Clément De ChaisemartinView profile

Professor

• Econometrics
• Economics of Education
• Policy Evaluation
• +3 more

Clément De Chaisemartin is a Professor of Economics at Sciences Po since 2021, affiliated with the National Bureau of Economic Research (NBER) and J-PAL. His work focuses on econometric methods for policy evaluation and the economics of education. He holds a PhD from EHESS and Paris School of Economics (PSE), and previously taught at the University of Warwick and University of California, Santa Barbara (UCSB). Key research includes the evaluation of educational interventions, such as boarding schools for disadvantaged students, and methodological contributions to difference-in-differences (DID) estimators. Notable awards include the AFSE-Malinvaud Prize (2019) for his work on fuzzy DID. He co-authored influential papers in American Economic Review , Econometrica , and Review of Economic Studies , and developed Stata/R packages like did_multiplegt and twowayfeweights . Current projects include a textbook on DID methods and collaborations on multi-site randomized trials. Education: PhD in Economics (2013), École des Hautes Études en Sciences Sociales (EHESS) and Paris School of Economics (PSE). Research Interests: Causal inference, policy evaluation, educational disparities, and econometric methods. Grants & Projects: Research funded by French health/education authorities, including evaluations of early childhood programs like Parler Bambin. Teams: Maintains a research team and GitHub page for open-source econometric tools. His op-eds advocate for broader use of impact evaluation in public policy, critiquing private-sector dominance in applying such tools.

Xi ChenView profile

Assistant Professor

• Financial Markets
• Asset Mispricing
• Behavioral Finance
• +4 more

Dr. Xi Chen is an Assistant Professor in Finance (Accounting and Finance) at the University of Sussex Business School since November 2019. He holds a PhD from the ICMA Centre, Henley Business School, University of Reading (2014), and has held roles including Visiting Research Associate at the University of Oxford (2015–2017) and Behavioural Scientist at Oxford Risk Ltd (2015–2019). Currently affiliated with Oxford Risk as an associate research fellow. Education: PhD in Finance (2014), University of Reading; MSc in Finance (2010–2011), University of Reading. Certifications: Fellow of the Higher Education Academy (FHEA). Research focuses on financial market dynamics, investor behavior, and FinTech innovations. Key areas include crypto-asset analysis, real options valuation, and machine learning applications. Proficient in Python, R, MATLAB, and Stata. Teaching includes modules like Programming in Finance, Portfolio Management, and FinTech and Financial Transformation. Active in developing new courses for undergraduate and postgraduate programs. Awards: Recognized for academic contributions through Fellow of the Higher Education Academy. Labs/Teams: Collaborates with Oxford Risk on behavioral science applications and maintains affiliations in academic and industry networks.

Leah BoustanView profile

Professor

• Economic History
• Labor Economics
• Migration Studies
• +7 more

Leah Boustan is a Professor of Economics and Director of the Economic History Program at Yale University. She is a research associate at the National Bureau of Economic Research (NBER), where she co-directs the Development of the American Economy Program, and serves as co-editor of the American Economic Journal: Applied Economics . Her research lies at the intersection of economic history and labor economics, with a focus on migration, intergenerational mobility, and racial economic disparities. She employs large-scale historical datasets, particularly digitized U.S. census records, to study long-term economic trends. Her work has demonstrated that children of immigrants consistently achieve higher economic mobility than children of the U.S.-born, and that immigrants assimilate culturally and economically at rates comparable across historical periods. The themes in her recent publications reflect a strong emphasis on empirical methods, historical data linkage, and policy-relevant findings. Her research spans topics such as immigrant incarceration, enclave effects, occupational assimilation, and the economic impacts of the Great Black Migration. She has also contributed to understanding political discourse on immigration through textual analysis of congressional speeches. Alfred P. Sloan Research Fellowship (2012) IZA Young Labor Economist Award (2019) Fellow of the Econometric Society (2022) Fellow of the Society of Labor Economists (2024) Allan Sharlin Memorial Book Award Alice Hanson Jones Award Boustan has advised major research initiatives such as the Census Linking Project, which enables longitudinal analysis of historical U.S. census data. She has not publicly listed formal PhD or Master’s students in the provided materials. Her work is supported by prestigious fellowships and institutional affiliations, and she plays a key role in shaping research agendas in urban economics and economic history through editorial leadership. She is affiliated with interdisciplinary research teams focused on digitizing and analyzing historical records, and her collaborations with scholars like Ran Abramitzky have produced influential books and policy insights. Future work is likely to expand on big data applications in economic history and intergenerational inequality.

• Labor Economics
• Education Economics
• Public Economics
• +3 more

Emanuela Ghignoni is an Associate Professor at Sapienza University of Rome's Department of Economics and Law. She teaches Labor Economics and Policies and a STATA Lab. Her research focuses on Labor Economics, Education Economics, and Public Economics, addressing topics like over-education, gender wage gaps, and healthcare disparities. Her work examines social norms influencing childbirth decisions, the impact of international programs (e.g., ERASMUS), and economic disparities in Italy and globally. Research Interests: Over-education and labor market mismatches Gender and immigration-related labor discrimination Healthcare systems efficiency Public policy evaluation Educational expenditure dynamics Her articles analyze labor market transitions, wage gaps, and the interplay between family background and education access. She explores how social norms and economic policies shape labor participation, fertility choices, and STEM/non-STEM wage disparities. Advising & Grants: No formal advisees listed. Grants details not provided. Labs/Teams: Not explicitly mentioned, but her STATA Lab suggests involvement in quantitative research methods.

Halvor MehlumView profile

Professor

• Macroeconomics
• Development Economics
• Economics of Conflict
• +1 more

Halvor Mehlum is a Professor in the Department of Economics at the University of Oslo, specializing in macroeconomics, development economics, economics of conflict, and crime . He has held academic positions since 1994, including Research Fellow (1994–1998), Researcher at the Frisch Centre (1999–2002), and Associate Professor (2002–2006) before becoming a full Professor in 2006. He also serves as Deputy Head of the Department of Economics (2016–present) and Deputy Leader of the Centre of Equality, Social Organization, and Performance (ESOP). Education: Cand. oecon (1992), Dr. polit (1999) from the University of Oslo; Visiting Scholar at the New School of Social Research (1996). Research Focus: Macroeconomics with applications to conflict dynamics, crime, development, and political economy. Recent articles explore topics like social capital, land redistribution, crime-protection dynamics, and pandemic economics. Leadership Roles: Board member at the Frisch Centre, Center for Development and Environment (SUM), and Executive Committee of the European Development Research Network (EUDN). Co-editor of the Nordic Journal of Political Economy.

Stanislav AnatolyevView profile

Professor

• Econometrics
• Method of Moments
• Time Series Modeling
• +2 more

Stanislav Anatolyev serves as Full Professor of Economics at the New Economic School (NES) since 2009 and holds an Associate Professor position at CERGE-EI in Prague. Affiliated with NES since 2000, he teaches advanced econometrics courses including Econometrics 3, Applied Time Series Econometrics, and Selected Chapters in Econometrics. Education PhD in Economics, University of Wisconsin-Madison (2000) MSc in Economics, New Economic School (1995) Specialist Diploma in Applied Mathematics, Moscow Institute of Physics and Technology (1992) Research Focus : Professor Anatolyev's work centers on econometric theory with expertise in method of moments, time series modeling, and high-dimensional data analysis. His contributions span theoretical developments in factor models, volatility estimation, and instrumental variables methods, alongside practical applications in financial econometrics and portfolio optimization. He maintains active research collaborations across international institutions. Publication Trends : Recent work demonstrates increasing emphasis on ultra-high-dimensional econometrics, with significant contributions to copula-based portfolio allocation, many-instrument regressions, and financial market belief updating mechanisms. His publications bridge theoretical rigor with empirical applications, frequently appearing in top econometrics journals including Journal of Econometrics and Econometric Theory. Awards Econometric Theory Multa Scripsit Award (2022) for exceptional scholarly output Academic Leadership : As founding Editor-in-Chief of the Russian-language journal Quantile since 2006, he has fostered econometric research dissemination in Eastern Europe. His co-authored textbook Methods for Estimation and Inference in Modern Econometrics serves as a key reference in graduate econometrics education. Professional Activities : Regularly presents at international conferences and serves as referee for leading econometrics journals, maintaining active engagement with the global econometrics community through seminar presentations and collaborative research projects.

• Agricultural Economics
• Food Security Policy
• Development Economics
• +7 more

William Burke is an Associate Professor in the Department of Agricultural, Food, and Resource Economics at Michigan State University (MSU), affiliated with the College of Agriculture & Natural Resources. His research focuses on agricultural policy, food security, and poverty dynamics in Africa, with extensive fieldwork in Zambia, Malawi, and The Gambia. He holds an MSc and PhD from MSU (2009, 2012), following Peace Corps service in The Gambia (2001–2003). Burke’s work includes analyzing fertilizer subsidies, soil management, and gender disparities in resource access. He has held roles at Stanford University and consultancies with organizations like the MwAPATA Institute in Malawi. Research interests include poverty dynamics, sustainable intensification, and cost-benefit analysis of agricultural policies. He contributes to multivariate statistical methods, notably developing the 'craggit' package in Stata. Awards include the 2017 Bruce Gardner Memorial Prize for policy analysis and recognition for top-cited papers in Agricultural Economics. Burke advises the Food Tank Board and serves on The African Journal of Agricultural and Resource Economics editorial board. Educations: PhD & MSc in Agricultural Economics (MSU, 2012 & 2009) Awards: Multiple accolades for policy research and academic contributions Labs/Initiatives: Innovation Lab for Food Security Policy, MwAPATA Institute collaboration His recent work addresses climate impacts on Malawi’s agriculture, fertilizer price volatility, and gender gaps in land access. Teaching includes multivariate statistics and survey design at MSU, Stanford, and the University of Zambia.

Tianyue RuanView profile

Assistant Professor

• Banking
• Financial Stability
• Household Finance
• +3 more

Tianyue Ruan is an Assistant Professor in the Department of Finance at NUS Business School , Singapore. Her research focuses on banking , financial stability , and household finance . Education: PhD in Finance, New York University Stern School of Business (2020) Bachelor's in Economics and Finance, Peking University (2015) Her recent publications span topics like racial disparities in consumer credit ( Management Science ), digital payments' macroeconomic effects ( Review of Financial Studies ), and regulatory impacts on bank fragility. Current projects examine retirement support programs and financial education interventions. She contributes to academic community through: Co-editing at Journal of Corporate Finance Pre-doc fellow recruitment at NUS PhD program mentorship Her methodological work includes: Stata code repositories for empirical research LaTeX table templates for comparative financial analysis

Ben JannView profile

Professor

• Statistical Methods
• Data Visualization
• Social Inequality
• +2 more

Ben Jann is a Professor and current Department Head at the University of Bern in the Department of Social Sciences . His methodological expertise spans statistical software development, decomposition analysis, and data visualization. Role: Department Head Institution: University of Bern Department: Department of Social Sciences Research Interests : Jann specializes in creating Stata modules for advanced statistical analysis, including geospatial mapping (geoplot), robust regression (robreg10), and inequality decomposition (oaxaca-blinder methods). His substantive work examines social inequality through economic and sociological lenses, analyzing how living costs and taxation systems impact income distribution in Switzerland. He also investigates educational transitions and gender disparities in STEM occupational choices through longitudinal studies like TREE2. Recent Publications Trends : Jann’s 15 most recent articles (2025-2023) demonstrate his focus on statistical software development for social science applications. Key contributions include methods for marginal odds ratios (2023), two-level model variance decomposition (2025), and list experiment analysis (2025). His empirical work connects statistical methodology to pressing social issues like gender wage gaps (2021) and teacher content knowledge in developing countries (2021).

Gerard CramerView profile

Professor

• Dairy cattle lameness
• Hoof health
• Metabolic disorders in dairy cows
• +5 more

Gerard Cramer, DVM, DVSc is a Professor in the Department of Veterinary Population Medicine (VPM) at the University of Minnesota , affiliated with the Fetrow Dairy Education Center . His research focuses on dairy cattle health, particularly lameness, hoof disorders, and metabolic diseases. Education: DVM and DVSc from the Ontario Veterinary College, University of Guelph. Research Interests include: Hoof health and lameness prevention Hyperketonemia and metabolic profiling Digital dermatitis and infectious hoof diseases Animal behavior and productivity metrics Precision livestock farming tools Recent Publications emphasize camera-based monitoring systems, hoof trimming efficacy, and metabolic disorder impacts on reproduction. He contributes to international standards via the ICAR Claw Health Atlas initiative. Email: gcramer@umn.edu

Yinghui WeiView profile

Associate Professor

• Statistics
• Biostatistics
• Public Health
• +4 more

Yinghui Wei is the Associate Head of School (Resources) and Associate Professor of Statistics at the University of Plymouth's School of Engineering, Computing and Mathematics. Her research focuses on statistical methodology applied to medicine, clinical trials, observational studies, and evidence synthesis, with expertise in big data analytics using NHS records and national databases. She leads impactful health data science initiatives, including the MSc Health Data Science and Statistics program, and has secured significant research funding (e.g., £3M NIHR INSIGHT grant). Her awards include the Vice-Chancellor's Award for Equality, Diversity & Inclusion (2024) and leadership in REF2021 impact case studies. She chairs equality committees and has held roles at institutions like the MRC Clinical Trials Unit and MRC Biostatistics Unit. Education: PhD and MSc in Statistics from The University of Manchester (2008, 2004). Research interests span Bayesian inference, clinical prediction models, infectious disease epidemiology, and survival analysis. Notable projects include MRC-funded work on long-term effects of COVID-19 and methodological contributions to meta-analysis of time-to-event outcomes via Stata's ipdfc module. Grants and collaborations include £970K ESRC funding for coastal community research, Royal Academy of Engineering diversity programs, and international partnerships like the Yunnan-Plymouth Joint Doctoral Training Programme. Supervised over 10 PhD students across health data science, biosensors, and kidney transplantation outcomes. Active in professional societies, including the Royal Statistical Society and Royal Society International Exchanges Committee.

Joachim VothView profile

Professor

• Cultural Economics
• Long-Run Growth
• Asset Market Volatility
• +5 more

Joachim Voth is the UBS Foundation Professor of Economics and Scientific Director of the UBS Center for Economics in Society at the University of Zurich. His research focuses on Cultural Economics, Long-Run Growth, Asset Market Volatility, and the interplay between history and contemporary economic phenomena. He holds a Ph.D. from UCLA and has held visiting positions at institutions including Stanford and NYU. Research Interests : Voth’s work bridges historical analysis with modern economic challenges. Key themes include the impact of cultural factors on economic outcomes, the role of historical institutions, and the application of novel data sources (e.g., historical narratives, visual datasets) to understand societal trends. His recent projects analyze cultural convergence via high school yearbook portraits and the legacy of medieval anti-Semitism in Nazi-era violence. Publications : Over 50 peer-reviewed articles and three books, including Lending to the Borrower from Hell (2014) and Prometheus Shackled (2013). His work frequently combines economic theory with historical evidence, such as linking British industrialization to colonial slave wealth or explaining WWII resistance patterns through Allied bombing and radio propaganda. Grants & Awards : Supported by the UBS Foundation, European Research Council, and National Science Foundation. He is a frequent commentator in venues like VoxEU and The Economist , and his research has been featured in podcasts and documentaries. Advising : Supervised 10+ doctoral students now at top institutions like UCLA, NYU, Stanford, and the Norwegian School of Economics.