جست‌وجوی استاد و پژوهشگر

• Marketing Strategy
• Marketing Asset Accountability
• Business-to-Business Advertising
• +۳ مورد دیگر

Dr. Peter Guenther is a Visiting Professorial Fellow at the Institute of Management and Decision Sciences (MDS) at Hamburg University of Technology (TUHH), specializing in marketing strategy and quantitative methods. His research focuses on quantifying marketing's impact on financial performance, marketing asset accountability, business-to-business advertising, and digital marketing. He holds a PhD in Marketing from the University of Melbourne and a Diplom (German Master) in Commerce from the University of Mannheim. Key research interests include understanding marketing's financial value, improving PLS-SEM methodologies in business research, and analyzing B2B advertising dynamics. His work has been published in top-tier journals such as the Journal of Marketing , International Journal of Research in Marketing , and Industrial Marketing Management . He serves on the Editorial Review Board of Industrial Marketing Management . Dr. Guenther has prior affiliations with the University of Melbourne and RMIT (Australia). He contributes to the Liverpool Advanced Methods for Big Data Analytics (LAMBDA) Research Centre and teaches modules like 'Consumer Insight Research' and 'Marketing & Digital Analytics.'

• Causal Analysis
• Econometrics
• Machine Learning
• +۷ مورد دیگر

Martin Huber is Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg, Switzerland, within the Faculty of Management, Economics and Social Sciences, Department of Economics. He leads the Chair of Applied Econometrics and maintains an active research profile with numerous publications in top economics and statistics journals. His work bridges theoretical econometrics with practical policy applications across multiple domains including labor, health, and education economics. Professor Huber earned his Ph.D. in Economics and Finance in 2010 and served as Assistant Professor at the University of St. Gallen until 2014. He has conducted research stays at Harvard University (2011/2012) and the University of Sydney (2014 and 2019), establishing an international research network. His academic affiliations include the Committee for Econometrics of the Verein für Socialpolitik, Global Labor Organization, Soda Labs (Monash Business School), and Centre for European Economic Research (ZEW) Mannheim. Huber's research focuses on data-based causal analysis , machine learning applications in economics , and policy evaluation methods . He specializes in developing and applying statistical and econometric methods for measuring causal effects, with particular emphasis on semi- and nonparametric microeconometrics. His work spans labor economics (gender occupational segregation, maternal labor supply), health economics, education policy, and competition policy (bid-rigging cartels detection). His recent publications (2023-2025) demonstrate a clear trajectory toward integrating machine learning techniques with traditional econometric methods for causal inference. This includes developing frameworks for causal discovery, improving difference-in-differences methods with machine learning, and creating novel approaches for detecting collusion in markets. His 2023 book "Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R" (MIT Press) has become a key reference in the field. As an active researcher, Professor Huber directs several research projects including experimental evaluations of gender occupational segregation in the Swiss apprenticeship market. His work combines theoretical rigor with practical policy relevance, often employing experimental and quasi-experimental methods to address questions of causal mechanisms in social and economic phenomena. Through his Chair of Applied Econometrics, Huber supervises Ph.D. students and maintains an active research group focused on advancing causal inference methodologies. His work has significant implications for evidence-based policymaking across multiple sectors, particularly in evaluating the effectiveness of social programs and economic policies.

Geoffrey Wodtkeمشاهده پروفایل

استاد

• Neighborhood effects and urban poverty
• Group conflict and racial attitudes
• Class structure and income inequality
• +۵ مورد دیگر

Geoffrey Wodtke is a Professor in the Department of Sociology at the University of Chicago, where he also serves as Associate Director of the Stone Center for Research on Wealth Inequality and Mobility. He holds multiple committee appointments including the Committee on Quantitative Methods in the Social, Behavioral, and Health Sciences, the Committee on Environment, Geography, and Urbanization, and the Committee on Education. Additionally, he is a Research Associate at the Population Research Center and a Faculty Affiliate with the Program in Computational Social Science. Wodtke earned his Ph.D. in Sociology from the University of Michigan in 2014, where he also completed an M.A. in Statistics in 2011. His undergraduate education began at the University of Wisconsin-Milwaukee before transferring to the University of Wisconsin-Madison, where he received his B.A. in Sociology with a concentration in analysis and research. His research program spans four interconnected areas: neighborhood effects and urban poverty, group conflict and racial attitudes, class structure and income inequality, and methods of causal inference in observational research. Wodtke's work on neighborhood effects has particularly focused on the temporal and developmental dimensions of how neighborhood poverty impacts child development, with findings suggesting more severe effects than previously documented, especially during adolescence for children from poor families. His recent publications reveal a clear trajectory from substantive neighborhood effects research toward increasingly sophisticated causal methodology development. This evolution includes integrating machine learning approaches with traditional causal inference frameworks, as seen in his forthcoming work on "Deep Learning with DAGs." His methodological contributions focus on handling treatment-induced confounding and developing regression-with-residuals approaches for causal mediation analysis. Leo Goodman Award for contributions to sociological methodology (2020) Reviewer Award, Sociology of Education (2016) Mark Chesler Award for best graduate student paper (2014) Student Paper Award honorable mention (2011) Jane Addams Award for best article (2011) Wodtke has secured significant research funding including a $300,264 NSF grant for "Why Neighborhoods Matter" (2020-2023) and an $87,819 SSHRC Canada grant for "Neighbourhoods, Schools, and Environmental Health Hazards" (2018-2022). He has advised numerous graduate students and developed specialized courses on causal mediation analysis. Wodtke co-hosts The Inequality Podcast produced by the Stone Center and has developed several software packages for causal inference including MedFlow, RcGNF, cGNF, and RWRMED.

Dylan Smallمشاهده پروفایل

استاد

• Causal Inference
• Design and Analysis of Experiments
• Observational Studies
• +۶ مورد دیگر

Dylan Small is the Universal Furniture Professor and Chair of the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania. His expertise spans causal inference, observational study design, and statistical applications in public health and policy. PhD in Statistics (Stanford University, 2002) BA in Mathematics (Harvard University, 1997) His research focuses on causal inference methodology, measurement error in longitudinal studies, and health policy applications. He has advanced techniques for sensitivity analysis in observational studies and instrumental variable modeling. Recent publications analyze covariate imbalance in hormone therapy studies, zero-inflated treatment effects, and causal frameworks for global health interventions. His work bridges statistical theory with practical healthcare and policy solutions. Awards include: American Statistical Association Fellow (2013) IMS Medallion Lecturer (2022) He has served as Associate Editor for journals such as the Journal of Causal Inference and founded the journal Observational Studies. Current courses include advanced seminars on causal inference and observational study design.

Luke Miratrixمشاهده پروفایل

استادیار

• Causal Inference
• Treatment Effect Heterogeneity
• Cluster Randomized Trials
• +۴ مورد دیگر

Luke Miratrix serves as Assistant Professor at Harvard Graduate School of Education and affiliate faculty in Harvard Department of Statistics. His methodological expertise centers on causal inference applications in educational research, particularly treatment effect heterogeneity and cluster-randomized trial evaluation. His academic background includes a Doctorate in Statistics from University of California, Berkeley (2012), Master of Science in Computer Science from M.I.T., Bachelor of Science in Computer Science from California Institute of Technology, and Bachelor of Arts in Mathematics from Reed College. Prior to academia, he spent seven years as a high school teacher and tutor. Miratrix's research prioritizes minimal-assumption statistical approaches to validate data-driven arguments. Key interests include developing methods for characterizing variation in treatment impacts, analyzing post-treatment subgroups, and applying high-dimensional techniques to text summarization in legal, journalistic, and educational contexts. His work consistently bridges theoretical statistics with practical implementation challenges in real-world settings. Analysis of his recent publications (2023-2025) reveals three dominant trends: advancement of matching methodologies (e.g., synthetic controls, caliper matching), refinement of heterogeneous treatment effect estimation across multisite trials, and integration of machine learning with human coding for efficient text-based inference in educational assessments. These efforts demonstrate increasing focus on scalable, accessible tools for applied researchers. He contributes to methodological infrastructure through the CARES Lab and software packages like 'matchMulti' and 'textreg', providing practical implementation guides for complex statistical techniques. His work emphasizes translating advanced causal inference methods into usable frameworks for education researchers and policymakers.

Linda J Resnikمشاهده پروفایل

استاد

• Amputees
• Assistive Technology
• Community Reintegration
• +۷ مورد دیگر

Linda J Resnik is a Professor of Health Services, Policy and Practice at Brown University and a Research Career Scientist at the Providence VA Medical Center. She leads the Center for Neurorestoration and Neurotechnology's Focus Area on Restoring Limb Function and directs NIH-funded Learning Health Systems Rehabilitation Resource Network (LeaRRn). Dr. Resnik holds clinical expertise in physical therapy with advanced training from Nova Southeastern University (PhD), Boston University (MS), and Hampshire College (BS). Her postdoctoral fellowship at the Center for Gerontology and Health Care Research furthered her specialization in health services research. Affiliations: Providence VA Medical Center, Brown University's School of Public Health Roles: Director of CoHSTAR, LeaRRn, LeaHD, and CfNN Focus Area Lead Her research focuses on rehabilitation outcomes, advanced prosthetics, and assistive technologies. Key areas include: Prosthetic device usability and adoption Community reintegration of amputees Healthcare quality and learning health systems Publications highlight trends in prosthetics innovation, veterans' healthcare outcomes, and rehabilitation methodologies. Recent work emphasizes sensory-enabled prosthetics, functional outcomes measurement, and telehealth adaptation during pandemics. Awards include the ACRM Elizabeth and Sidney Licht Award (2020), Chattanooga Research Award (2020), and Paul B Magnuson Award (2017). Her training programs emphasize interdisciplinary collaboration and evidence-based practice. Labs/Teams: CoHSTAR, LeaRRn, and CfNN collaborate across engineering, medicine, and policy to advance prosthetic technologies and clinical care pathways.

Liang Zhangمشاهده پروفایل

استاد

• Higher Education Economics
• Public Policy Analysis
• Educational Finance
• +۳ مورد دیگر

Liang Zhang is a Professor of Higher Education at New York University's Steinhardt School, specializing in higher education economics, finance, and public policy. He previously taught at the University of Minnesota, Vanderbilt University, and Penn State University. His research examines the role of governments and institutions in shaping institutional performance and student outcomes, with a focus on college access, labor markets, and policy efficacy. Dr. Zhang holds dual PhDs from Cornell University (Economics) and the University of Arizona (Higher Education). His work has been published in leading journals such as Review of Higher Education , Economics of Education Review , and Harvard Education Review . Key research areas include the impact of state policies on college enrollment, peer effects in academic decisions, and the global dynamics of scientific productivity. Recent studies highlight his analysis of the Post-9/11 GI Bill’s effects on veteran education access and outcomes, as well as the stratification of faculty employment in U.S. higher education institutions. His work consistently bridges economic theory and policy practice, offering actionable insights for institutional leaders and policymakers.

Keunhyun Parkمشاهده پروفایل

استادیار

• Urban Forestry
• Environmental Justice
• Human Behavior in Public Space
• +۴ مورد دیگر

Keunhyun (Keun) Park is an Assistant Professor of Urban Forestry at the University of British Columbia (UBC), affiliated with the Department of Forest Resources Management . He also holds an Adjunct Professor position at Utah State University in the Department of Landscape Architecture and Environmental Planning. Education: BSc and MSc in Landscape Architecture from Seoul National University; PhD in Urban Planning and Design from the University of Utah Research Lab: Faculty lead of the Urban Nature Design Research Lab ( under_lab ) His research focuses on designing healthy, just, and resilient cities through urban nature , with particular emphasis on: Environmental justice and equitable access to urban green spaces Human behavior in public spaces using drone/sensor/VR technology Smart growth urban design impacts on public health and ecological systems Recent publications demonstrate expertise in GIS applications , pedestrian behavior analysis , and urban planning across 20+ studies from 2013-2025. Collaborations include the Vancouver Park Board , Metro Vancouver , and Wasatch Front Regional Council .

• Cerebrovascular Surgery
• Endovascular Neurosurgery
• Skull Base Surgery
• +۶ مورد دیگر

Karol Budohoski, MD, PhD, FRCS, is an Assistant Professor in the Department of Neurosurgery at the University of Utah , with additional Adjunct Assistant Professor status in Radiology & Imaging Sciences. He specializes in cerebrovascular , endovascular , and skull base neurosurgery , treating complex pathologies like brain aneurysms, arteriovenous malformations, and skull base tumors. Education: PhD in Neurosurgery (University of Cambridge), MD (Medical University of Warsaw), Clinical Fellowships at University of Utah and UCSF His academic focus on subarachnoid hemorrhage pathophysiology and cerebral vasospasm has led to innovations in brain monitoring tools. Recent publications (2023-2025) span neurovascular surgery , stroke interventions , global neurosurgery , and cerebral autoregulation studies. He practices at the Clinical Neurosciences Center in Salt Lake City, Utah, with a patient rating of 4.9/5 (125 reviews), praised for clarity, attentiveness, and technical expertise.

Valentijn M.T. de Jongمشاهده پروفایل

استادیار

• Biostatistics
• Epidemiology
• Medical Research Methodology
• +۳ مورد دیگر

Valentijn M.T. de Jong is an Assistant Professor at Utrecht University, specializing in methodological advancements in biostatistics and epidemiology. His research focuses on causal inference, missing data analysis, and meta-analytical techniques in medical studies. Research Trends: Recent publications highlight his expertise in statistical methods for handling missing data (e.g., Heckman selection models), causal inference in individual-participant data meta-analyses, and enhancing prediction model discrimination in healthcare research. His work spans disciplines like epidemiology, biostatistics, and health data science.

Bryan S. Grahamمشاهده پروفایل

استاد

• Econometrics
• Network Analysis
• Development Economics
• +۴ مورد دیگر

Bryan S. Graham is a Professor of Economics at the University of California, Berkeley. He specializes in econometrics, focusing on network formation, social interactions, and panel data analysis. His research explores topics such as peer effects, poverty traps, and small sample properties of econometric methods. Graham holds a Ph.D. from Harvard University (2005) and has held visiting positions at Harvard, CEMFI (Spain), and NYU. He is an elected Fellow of the International Association of Applied Econometrics. Education highlights include a Rhodes Scholarship (1997–2000) at Oxford University, a Fulbright Scholarship (1997–1998) at the Australian National University, and a B.A. in Quantitative Economics from Tufts University (1993–1997). His work has been published in top journals like Econometrica and the Review of Economic Studies . Key awards include NSF grants (multiple), the Review of Economics Studies Tour, and the Daniel Ounjian Prize. Graham’s research has practical applications in policy analysis, particularly in education and social spillover effects. He also actively contributes to academic service, including editorial roles at Review of Economics and Statistics and Journal of Econometrics .

George Hripcsakمشاهده پروفایل

استاد

• Biomedical Informatics
• Electronic Health Records (EHRs)
• Data Mining
• +۴ مورد دیگر

George Hripcsak is the Vivian Beaumont Allen Professor of Biomedical Informatics and Director of Medical Informatics Services at New York-Presbyterian Hospital, Columbia University. He holds affiliations with the Vagelos College of Physicians and Surgeons and the Data Science Institute (DSI). His expertise spans clinical informatics, electronic health records (EHRs), and medical knowledge representation standards. Hripcsak earned degrees in chemistry, medicine, and biostatistics, and is a board-certified internist. Research focuses on leveraging EHR data for clinical research and patient safety through data mining and causal inference techniques. Notable contributions include the Arden Syntax (a national standard for medical knowledge representation) and leadership in the Observational Health Data Sciences and Informatics (OHDSI) network. He chairs the AMIA Standards Committee and has advised federal health informatics policies under HIPAA. His academic awards include Fellowships in the American College of Medical Informatics (1995) and New York Academy of Medicine. Current projects emphasize federated learning, genomic risk prediction, and large-scale real-world evidence analysis through initiatives like LEGEND-T2DM and All of Us Research Program. Educations: MD, Biostatistics, Chemistry Labs/Teams: OHDSI, DSI, Medical Informatics Services Grants & Funding: Not explicitly listed in provided texts

Nicola Ballhausenمشاهده پروفایل

استادیار

• Developmental Psychology
• Cognitive Aging
• Prospective Memory
• +۱۲ مورد دیگر

Nicola Ballhausen is an Assistant Professor in the Department of Developmental Psychology at the Tilburg School of Social and Behavioral Sciences, Tilburg University, Netherlands. Her research focuses on cognitive and psychological aspects of aging, particularly prospective memory, executive function, and social influences on cognitive health in older adults. Her research interests include prospective memory , cognitive aging , metacognition , problem-solving in older adults , social cognition , and longitudinal studies of aging . She investigates how factors such as intergenerational contact, sense of purpose, and technology use impact cognitive performance and well-being in later life. Her work integrates experimental, survey-based, and qualitative methods, often in cross-national datasets like the Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA). The most recent articles highlight a strong focus on prospective memory across the lifespan , the role of social engagement in cognitive functioning , and designing accessible cognitive interventions for older adults. Her publications span top journals in gerontology, psychology, and cognitive science, reflecting interdisciplinary collaboration and methodological rigor. Dr. Ballhausen contributes to research aligned with the UN Sustainable Development Goals, particularly those related to healthy aging and well-being. She collaborates extensively with researchers across Europe and has contributed to major reference works such as The Oxford Handbook of Human Memory . Her work includes both empirical studies and methodological advancements, such as exploratory structural equation modeling. While no formal students or awards are listed, her role in supervising research and contributing to academic training is implied through her position and course involvement. Dr. Ballhausen is involved in the design and evaluation of web-based cognitive tools, such as the Shared, Web-based, Intelligent Flexible Thinking Training (SWIFT), emphasizing user-centered design and ecological validity. Her work bridges fundamental cognitive research with practical applications for aging populations.

Jeffrey Smithمشاهده پروفایل

استاد

• Labor Economics
• Public Economics
• Econometrics
• +۱ مورد دیگر

Jeffrey Smith holds the Paul T. Heyne Distinguished Chair in Economics and Richard Meese Chair in Applied Econometrics at the University of Wisconsin-Madison. Previously, he served as Professor of Economics and Public Policy at the University of Michigan, with prior faculty positions at the University of Western Ontario (1994-2001) and University of Maryland (2001-2005). Education includes: B.A. Economics & B.S. Computer Science, University of Washington (1985) M.A. Economics, University of Chicago (1987) Ph.D. Economics, University of Chicago (1996) Research focuses on experimental and non-experimental methods for evaluating social and educational interventions, labor market impacts of university quality, and statistical treatment rules for government programs. Primary domains include Labor Economics, Public Economics, Econometrics, and Program Evaluation, with emphasis on causal inference methodologies and policy applications. Publications demonstrate consistent focus on econometric innovations in program evaluation, particularly quasi-experimental designs, treatment effect heterogeneity, and labor policy efficacy. Recent work examines conditional cash transfers, matching estimators, and behavioral incentives in welfare programs. Awards: Royal Economic Society Prize (1999) for contributions to evaluation methodology Consulting engagements include governments of the United States, Canada, United Kingdom, and Australia on evaluation frameworks and policy design.

Michele Jonsson-Funkمشاهده پروفایل

دانشیار

• Pharmacoepidemiology
• Women's Health Research
• Observational Data Methods
• +۷ مورد دیگر

Michele Jonsson-Funk, PhD, is an Associate Professor in the Department of Epidemiology at the UNC Gillings School of Global Public Health and Director of the Center for Pharmacoepidemiology. She leads the Pharmacoepidemiology Program within the Department and serves as an Affiliate Faculty member at the Injury Prevention Research Center. Dr. Jonsson-Funk is also a Fellow of the International Society for Pharmacoepidemiology and holds leadership roles in several professional organizations, including the Board of the International Society for Pharmacoepidemiology and advisory roles in epidemiology and clinical research networks. Dr. Jonsson-Funk holds a PhD in Epidemiology from the University of North Carolina at Chapel Hill (2003), a Master of Science in Public Health (MSPH) in Epidemiology from UNC Chapel Hill (2000), and a BA in Psychology from Reed College (1994). Her research focuses on pharmacoepidemiology, methods for estimating treatment effects in observational data, and women’s health. She examines topics such as sex differences in medication safety and efficacy, maternal and child health outcomes, and the application of electronic health records for population-level analyses. Her work integrates data from Medicare, Marketscan, and the Carolina Data Warehouse for Health to evaluate treatment effectiveness and safety. Dr. Jonsson-Funk has received several honors, including: Fellow, International Society for Pharmacoepidemiology (2018–present) Research Fellow, Sheps Center for Health Services Research, UNC Chapel Hill (2005–present) Member, Delta Omega Honorary Public Health Society, Theta Chapter (2004–present) Her research portfolio includes grants such as an R01 evaluating treatment effect heterogeneity in cardioprotective medications. She advises on interdisciplinary teams through her leadership roles in the Building Interdisciplinary Research Careers in Women’s Health (BIRCWH) Program and the Observational Pharmaco-Epidemiology Research & Analysis (OPERA) network. She also leads the Pharmacoepidemiology Research Lab Network under BIRCWH. Dr. Jonsson-Funk collaborates with clinical colleagues on studies addressing pelvic floor disorders, medication use during pregnancy, and diabetes-related cancer risks. Her methodological contributions include improving propensity score techniques and addressing confounding by frailty in observational studies.