Stata Programming Professors and Supervisors | ApplySharif

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Showing 226-240 of 268 supervisors

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Patricio TroncosoView profile

Research Fellow

University of GlasgowUnited Kingdom

Dr. Patricio Troncoso is an Honorary Research Fellow in Urban Studies at the University of Glasgow's School of Social & Political Sciences. His research focuses on educational inequalities, child development, and social policy. He holds a PhD in Social Statistics from the University of Manchester and has worked at institutions including the University of Glasgow, Heriot-Watt University, and the University of Manchester. Education background: PhD in Social Statistics (University of Manchester), prior roles at I-SPHERE (Heriot-Watt University) and the Manchester Institute of Education. His expertise includes applied statistics, quantitative methods, and randomized controlled trial design. Research interests include child mental health, poverty impacts, educational exclusion, and digital inequality in education. Notable projects include work with the Scottish Centre for Administrative Data Research (SCADR) analyzing exclusion trends and pandemic effects on child care systems. Methodological contributions focus on causal inference and multilevel modeling techniques. Publications highlight analysis of geographic disparities in school readiness, pandemic impacts on vulnerable children, and long-term behavioral interventions. His work bridges policy-relevant research with statistical innovation, addressing societal challenges in education and child welfare.

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Lena Marie StankView profile

Tutor

Bielefeld UniversityGermany

Lena Marie Stank is a Tutor at the Faculty of Sociology, Bielefeld University. She is affiliated with the university's Social Structure Tutorial program, specializing in Stata software for sociological analysis. Her role involves supporting students in quantitative research methodologies and social statistical techniques.

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Matteo PinnaView profile

Researcher

ETH ZurichSwitzerland

Matteo Pinna is a postdoctoral researcher at ETH Zurich's Center for Law & Economics and founder of Safespace Research, a mental health technology venture. His academic foundation includes a Ph.D. in Economics from ETH Zurich, an M.Phil. in Economics from the University of Bologna, and a B.S. in Economics, Markets and Institutions from the same institution. His educational background: Ph.D. in Economics, ETH Zurich M.Phil. in Economics, University of Bologna B.S. in Economics, Markets and Institutions, University of Bologna Pinna's research bridges Public and Political Economy with Mental Health through Behavioural and Experimental Economics. His work investigates how media exposure shapes political decisions and health behaviors, particularly during crises like the Covid-19 pandemic, while also developing innovative methodological tools for economic analysis. His entrepreneurial initiative Safespace Research applies these insights to student mental health support. His publication record reveals a strong focus on media-politics-health intersections, with high-impact studies on Fox News' effects on elections and vaccine uptake, plus significant methodological contributions to data visualization. This work combines rigorous econometric analysis with real-world policy implications, reflected in coverage by major media outlets including The New York Times and The Atlantic. Pinna actively contributes to academic discourse as a referee for journals including Information Economics and Policy and the Stata Journal. His leadership of Safespace Research demonstrates a commitment to translating research into practical mental health solutions, where his team develops AI-assisted tools for early intervention in student well-being crises.

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Marc ArbynView profile

Professor

SciensanoBelgium

Professor Marc Arbyn is a leading expert in cervical cancer screening and prevention at Sciensano (Scientific Institute of Public Health) in Belgium. With over two decades of research experience, he has made substantial contributions to the field of cancer epidemiology, particularly in HPV testing validation and implementation. His research focuses on: Validation of HPV tests for cervical cancer screening through the VALGENT framework Development and assessment of self-sampling methods for HPV testing Meta-analyses of screening effectiveness and diagnostic test accuracy Implementation of evidence-based cervical cancer prevention strategies Professor Arbyn's publication record demonstrates consistent high-impact research, with recent work focusing on urine-based HPV testing, clinical validation of next-generation HPV assays, and the long-term impact of HPV vaccination on cervical cancer incidence. His systematic reviews and meta-analyses have shaped international guidelines for cervical cancer screening. As a methodological expert, he has developed specialized approaches for analyzing screening test performance and has contributed significantly to evidence synthesis in medical screening. His work bridges the gap between research evidence and public health implementation, directly influencing cervical cancer prevention policies worldwide.

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Tyler RansomView profile

Associate Professor

University of OklahomaUnited States

Tyler Ransom is an Associate Professor of Economics at the University of Oklahoma, affiliated with the Dodge Family College of Arts & Sciences. He is also a Research Fellow at the Institute for the Study of Labor (IZA) and a Fellow at the Global Labor Organization (GLO). He holds a PhD in Economics from Duke University (2015), specializing in dynamic models of human capital accumulation. Education: PhD in Economics, Duke University (2015) His research focuses on labor economics, education economics, urban economics, and machine learning applications. Recent work examines college admissions, educational inequality, and human capital development. He teaches econometrics, data science, and economics of education at OU, directing the Economics BA/MA Program. His articles span topics like college attrition, admissions policies, migration economics, and wage returns to education. Technical expertise includes proficiency in multiple programming languages (Matlab, Stata, R, Julia, Python) and advanced Japanese proficiency with knowledge of Korean and German. Awards: 2022 Irene Rothbaum Outstanding Assistant Professor Award (OU Dodge College) Roles: Associate Editor of Annals of Economics and Statistics and Economics of Education Review His research has influenced policy discussions, appearing in outlets like The New York Times and The Economist .

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Maarten BuisView profile

Lecturer

WZB Berlin Social Science CenterGermany

Maarten Buis is a Lecturer of Statistics for the Social Sciences at the Department of Sociology, University of Konstanz. Previously, he held positions such as Senior Research Fellow at the WZB Berlin Social Science Center and Research Fellow roles at Eberhard Karls Universität Tübingen and VU University Amsterdam. He earned his PhD from VU University Amsterdam in 2010 with a thesis on educational inequality in the Netherlands. Education: PhD in Social Science (2010), VU University Amsterdam Master's in Social and Institutional Economics (2003), University of Utrecht His research focuses on social stratification, educational attainment, statistical methodologies, and the application of Stata software. He has contributed significantly to statistical techniques in non-linear models and has developed several Stata packages. His publications span peer-reviewed articles in journals like European Sociological Review and The Stata Journal , as well as edited volumes. He frequently presents at international conferences and Stata Users' Group meetings, focusing on topics like agent-based models and statistical software best practices. Labs/Teams: Former member of the Research Department 'Skill Formation and Labor Markets' at WZB Berlin Grants/Advising: No formal student advising listed, but extensive collaborative research engagements

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Puneet ChehalView profile

Assistant Professor

Emory UniversityUnited States

Puneet Chehal is an Assistant Professor in the Department of Health Policy and Management at Emory University. Her research focuses on Medicaid managed care program design, chronic disease management (particularly diabetes and cardiometabolic conditions), and health disparities affecting racial/ethnic minority populations. She holds a PhD from Duke University, an MA from Duke, and a BA from UC Davis. BA: University of California, Davis MA: Duke University PhD: Duke University Her research agenda includes two core areas: (1) optimizing Medicaid managed care to address vulnerable populations' healthcare needs, and (2) longitudinal prevention of chronic diseases like diabetes. Recent work examines demographic disparities in diabetes hospitalizations and emergency department use, with a focus on sociodemographic factors. Dr. Chehal is affiliated with Emory's Global Diabetes Research Center and Maternal and Child Health initiatives. Her publications analyze Medicaid program impacts, healthcare utilization trends, and racial disparities in maternal and child health outcomes. Courses taught include Health Services Data Analytics and Quantitative Methods II (Stata).

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Seyhun Orcan SakalliView profile

Senior Lecturer

King’s College LondonUnited Kingdom

Seyhun Orcan Sakalli is a Senior Lecturer in Economics at King’s Business School, King’s College London. He holds a PhD in Economics from the Paris School of Economics (2015) and previously served as a post-doctoral research fellow at the University of Lausanne (2016–2019). His research focuses on cross-cultural interactions between ethnic and religious groups, nation-building policies, and the economic implications of historical conflicts. Education: PhD in Economics, Paris School of Economics (2011–2015) MSc in Quantitative Economics, Paris School of Economics (2009–2011) Research Interests: Political Economy, Economic History, Development Economics. Key themes include ethnic violence, migration patterns, and the effectiveness of socio-economic policies. His work bridges historical analysis with modern policy implications, particularly in contexts of cultural diversity and conflict. Grants & Professional Activity: Recipient of King’s Business School Research Incubator Fund (2021) Presenter at conferences including SIOE Annual Meetings, ASREC Annual Meetings, and UNU-WIDER Development Conference Refereeing for top journals like the Quarterly Journal of Economics and American Economic Review Teaching: Courses include Economic Growth, Mathematics for Economists, and Applied Econometrics at both undergraduate and graduate levels at King’s College London and the University of Lausanne.

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Matthias SchonlauView profile

Professor

University of WaterlooCanada

Matthias Schonlau is a Professor in the Department of Statistics at the University of Waterloo. He previously worked as a statistician at the RAND Corporation (1999-2011), where he led the RAND Statistical Consulting Service. He holds a PhD from the University of Waterloo (1997) and a Master's from Queen's University (1993). His research focuses on survey methodology, natural language processing for open-ended questions, data visualization, and statistical software development. Key contributions include the Hammock Plot for mixed data visualization and automated classification algorithms for open-ended survey responses. His work spans algorithmic innovation (e.g., occupation coding, multi-label classification) and statistical software tools (e.g., HAMMOCK and RFOREST modules for Stata). Recent projects address semi-automated classification, one-shot learning, and text dataset distillation. He has held sabbaticals at the University of Auckland (2015-2016) and DIW Berlin (2009-2010), collaborating with the Max Planck Institute. Major awards include the Humboldt Research Prize (2022) and ASA Fellowship. His publications emphasize bridging statistical methods with practical applications, including books like Applied Statistical Learning (2023) and peer-reviewed articles in computational statistics and machine learning.

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Rebecca GrazianiView profile

Researcher

Bocconi UniversityItaly

Rebecca Graziani is a Researcher with tenure at Bocconi University's Department of Decision Sciences. She earned her PhD in Methodological Statistics from Università di Trento and conducted postdoctoral research at Bocconi University. Graziani specializes in Bayesian methods and computational statistics with applications in social sciences, particularly demographic forecasting and healthcare analytics. Her research focuses on developing Bayesian approaches for complex statistical problems including stochastic population projections, network meta-analysis of clinical outcomes, and nonparametric biomarker modeling. She has collaborated with institutions like ISTAT to develop Italy's first probabilistic population forecasts. Graziani teaches courses in Quantitative Methods, Statistics, and Computational Statistics using SPSS, STATA, R, and Python at both undergraduate and graduate levels across Bocconi's social science programs.

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Memta JagtianiView profile

Lecturer

University College LondonUnited Kingdom

Memta Jagtiani is an Associate Lecturer (Teaching) in Quantitative Research Methods at University College London (UCL), affiliated with the Department of Political Science and the Department of Epidemiology and Public Health. Her academic work focuses on social media's impact on mental health, integrating data science methodologies with longitudinal studies. Educated with a First Class Honours BSc in Population Health at UCL Recipient of UCL Faculty Medal and Best Dissertation Award Her research examines the interplay between social media use, gender, family dynamics, and mental well-being, utilizing advanced statistical techniques like causal inference and hierarchical linear modeling. She has presented her findings at prestigious conferences such as the Society for Longitudinal and Lifecourse Studies and the British Society for Population Studies. In teaching, she specializes in R and STATA for quantitative data analysis, offering modules across undergraduate and postgraduate programs. Her work extends to private tuition, mentoring students in coding and data management. Scientific Awards: Faculty Medal Winner Best Dissertation Award Winner Jagtiani's publications focus on social media's role in mental well-being, family meal frequency, and longitudinal data harmonization. She also contributes to public health discourse through blogs and peer-reviewed journals.

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James FeigenbaumView profile

Assistant Professor

Boston UniversityUnited States

James Feigenbaum is an Assistant Professor of Economics at Boston University, affiliated with the NBER (Development of the American Economy program) and BU’s Center for Innovation in Social Science. He holds a PhD from Harvard University (2016) and a B.A. from Wesleyan University (2008). His research focuses on economic history, labor economics, and political economy, with emphases on inequality, health/mortality patterns, and intergenerational mobility in 19th–20th century U.S. contexts. He has pioneered automated census record-linking techniques to study long-term socioeconomic trends. Notable works include analyses of racial disparities in pandemic mortality, Sherman’s March economic impacts, and the effects of automation on labor markets. Feigenbaum teaches advanced economic history courses (e.g., GRS EC 764, CAS EC 365) and contributes to policy-relevant research on education’s impact on civic engagement. He has received awards for his Demography (2023) and Explorations in Economic History (2017) articles. His methodological innovations, including Stata tools for string distance calculations (jarowinkler), aid scholars in linking historical datasets. Current projects include studies of the 1921 Tulsa Race Massacre’s economic legacy and legislative behavior dynamics.

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Marinho BertanhaView profile

Associate Professor

University of Notre DameUnited States

Marinho Bertanha is a tenured Associate Professor of Economics at the University of Notre Dame, serving as concurrent faculty in Statistics and a faculty fellow at the Kellogg Institute. His academic work bridges econometrics and applied microeconomics with significant contributions to causal inference methodologies. His educational background includes a Ph.D. in Economics from Stanford University (2015), an M.A. from Fundação Getúlio Vargas in Rio de Janeiro (2009), and a B.A. from Universidade de São Paulo (2006). Prior to his current position, he completed postdoctoral work at the University of Louvain and served as a visiting professor at the University of Chicago. Bertanha's research focuses on causal inference , resampling methods , and policy evaluation , with particular expertise in regression discontinuity designs, bunching estimation, and permutation testing. His methodological innovations address critical challenges in econometric identification and statistical inference, especially in contexts with strategic reporting and imperfect compliance. His publication record shows consistent high-impact output in top journals including the Journal of the American Statistical Association , Journal of Econometrics , and Review of Economics and Statistics . Recent work demonstrates increasing focus on practical implementation through software development (Stata and MATLAB packages) that has become standard in empirical economics research. Through his concurrent appointment in Statistics and faculty fellowship at the Kellogg Institute, Bertanha contributes to interdisciplinary research initiatives focusing on economic policy evaluation and statistical methodology development. His current work-in-progress examines causal effects in matching mechanisms, returns to education with strategic reporting, and tax elasticity estimation across multiple countries.

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Adrien BouguenView profile

Assistant Professor

Santa Clara UniversityUnited States

Adrien Bouguen is an Assistant Professor of Economics at Santa Clara University's Leavey School of Business. His research focuses on the economics of education, development economics, and agricultural economics, with a particular interest in how human capital accumulates over lifetimes and the policies that can enhance this process. He conducts field experiments in both low-income countries (Cambodia, Burkina Faso, Ethiopia) and France, collaborating with global institutions like IPA, J-PAL, the World Bank, and CEGA. Bouguen holds a PhD from the Paris School of Economics. His research explores topics such as teacher training efficacy, preschool provision impacts, agricultural technology adoption, and multidimensional poverty reduction programs. He emphasizes evidence-based policy design through randomized controlled trials and large-scale social experiments. At Santa Clara, he teaches courses on the Economics of Education and Data Analysis & Econometrics. Education: PhD in Economics from Paris School of Economics Collaborations: IPA, J-PAL, World Bank, CEGA Methodology: Experimental economics, program evaluation, Stata-based statistical tools His work bridges theory and practice, addressing real-world challenges in education access, rural development, and human capital formation. Recent projects include analyzing the effects of preschool construction programs in Cambodia and evaluating agricultural extension programs in Ethiopia.

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Jingbo HouView profile

Assistant Professor

Santa Clara UniversityUnited States

Jingbo Hou is an Assistant Professor in the Department of Information Systems & Analytics at Santa Clara University’s Leavey School of Business. His research focuses on the societal and business implications of emerging digital technologies, addressing both micro-level challenges (e.g., online platform efficiencies) and macro-level impacts (e.g., GenAI adoption, telework adaptation). He holds a PhD in Business Administration from Arizona State University, an M.Eng from Renmin University of China, and a B.Mgmt from Sun Yat-sen University. Research Interests: Mitigating information asymmetries in online labor markets and data-sharing platforms Examining GenAI’s societal integration Telework’s role in reducing gender inequality post-disasters Social media usage patterns and misinformation mitigation Recent work has been published in Information Systems Research and Production and Operations Management . He actively leverages Meta’s Data for Good initiative for empirical analysis. Teaching focuses on Business Data Analytics and Information Systems, employing innovative pedagogical methods like simulation games and case studies. Industrial experience includes data analysis roles at Alibaba Group and AI-driven research at IPIN. Skills include Stata, Python, and R programming.

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