جستجوی استاد راهنمای دانشگاهی

Dharmi Kapadiaمشاهده پروفایل

مدرس ارشد

• Racism and Mental Health
• Ethnic Inequalities in Healthcare
• Health Inequities
• +۳ مورد دیگر

Dr. Dharmi Kapadia is a Senior Lecturer in Sociology at The University of Manchester, specializing in racism, health inequities, and ethnic minority mental health. She holds a PhD in Social Statistics from the University of Manchester and has extensive research experience in ethnic inequalities across healthcare, employment, and aging populations. Her work is affiliated with the ESRC Centre on Dynamics of Ethnicity (CoDE) and the Synergi Collaborative Centre. Education: BSc, MSc, PhD in Social Statistics (University of Manchester) Research interests include access to mental health services for ethnic minorities, racism's impact on mental health, and ethnic disparities in employment and aging. She leads/co-investigates projects funded by the Nuffield Foundation and ESRC, including studies on racial discrimination during the pandemic and ethnic inequalities in later life. Her research outputs span over 50 publications, focusing on topics like racial discrimination pathways, mental health disparities, and data quality in health records. Awards include the 2023 Outstanding Teaching Commendation and the 2022 Sociology Public Engagement Prize. Key Projects: 'Ethnic Inequalities in Later Life' (Nuffield Foundation), 'Ethnic and Racial Inequality in a Time of Crisis' (ESRC) Kapadia collaborates with institutions like the Cathie Marsh Institute and Manchester Institute for Collaborative Research on Ageing. Her future work emphasizes addressing systemic racism in healthcare and policy interventions for marginalized communities.

Cathy Lewinمشاهده پروفایل

استاد

• Digital Pedagogy
• Educational Technology
• Sociocultural Theory
• +۵ مورد دیگر

Professor Cathy Lewin is a leading academic in the field of Education and Educational Technology at Manchester Metropolitan University, where she has been employed since 2001. With a background in mathematics and computer science, she transitioned from software engineering to educational research after completing her PhD at the Open University in 1997. Her work focuses on digital pedagogy, socio-cultural theories of learning, and the integration of technology in educational settings. Co-editor of the British Journal of Educational Technology (2023–present) Former Editor of Learning, Media and Technology (2004–2010) External examiner for MSc Educational Research (University of Bristol, 2012–2015) and Open University courses Lewin’s research has significantly influenced educational policy through large-scale evaluations for organizations such as the Education Endowment Foundation, European Commission, and UK Government. She has led or co-led projects including the EU FP7 iTEC project, Whole School SEND Review, and Oasis Horizons iPad initiative. Her methodological expertise spans quantitative and qualitative approaches, with a particular emphasis on mixed methods and socio-cultural frameworks. Recent publications examine topics like digital pedagogy, the impact of social media on teacher professional development, and the integration of formal and informal learning through technology. Her work has been instrumental in shaping guidance reports for educators, such as the EEF’s Using Digital Technology to Improve Learning , which has informed technology investments in schools globally. IFIP Service Award for contributions to the International Federation of Information Processing Editorial Board member for multiple journals including Pedagogy, Culture and Society Lewin supervises doctoral students in areas such as digital pedagogy, computing education, and sociocultural theories of learning. She welcomes supervisees exploring the intersection of technology, inclusion, and educational practices.

Jennifer Fieldمشاهده پروفایل

استاد

• Environmental Chemistry
• Toxicology
• Analytical Chemistry
• +۴ مورد دیگر

Jennifer Field is a Professor in the Environmental and Molecular Toxicology Department at Oregon State University’s College of Agricultural Sciences. Her research focuses on the development and application of quantitative analytical methods for organic micropollutants and their transformation products in natural/engineered systems, with pioneering work on PFAS occurrence and behavior. She has served as Executive and Associate Editor for Environmental Science & Technology (2008–2023). Her work addresses PFAS in groundwater, wastewater, landfills, and specialized materials. Notable contributions include PFAS fingerprinting, landfill gas characterization, and biomimetic chromatography for bioaccumulation assessment. Education: Ph.D. in Geochemistry from Colorado School of Mines. Current projects involve forensic source allocation of PFAS, PFAS behavior in engineered systems, and thermal degradation studies. Awards include the 2023 Agilent Thought Leader Award for PFAS research. Collaborations with Drs. Patrick Reardon and Gerrad Jones leverage advanced statistical and analytical methods. Research interests span PFAS toxicity, environmental fate, and remediation. Her lab employs LC/GC-HRMS and NMR for PFAS analysis. Key grants include multiple SERDP projects (e.g., ER-4250, ER-1375) addressing PFAS behavior, forensics, and mitigation strategies. Publications emphasize PFAS in environmental matrices, ecotoxicity, and analytical method development. The lab’s recent work highlights PFAS enrichment in surface microlayers, vapor-phase emissions from materials, and developmental toxicity in zebrafish.

Andrea Barthمشاهده پروفایل

استاد

• Stochastic Partial Differential Equations
• Uncertainty Quantification
• Monte Carlo Methods
• +۴ مورد دیگر

Andrea Barth is a W3-Professor of Computational Methods for Uncertainty Quantification at the University of Stuttgart, leading the Research Group for Computational Methods for Uncertainty Quantification within the Excellence Cluster for Simulation Technology. She holds a Ph.D. from the University of Oslo (2009) and has held positions at ETH Zürich and the University of Stuttgart. Her work focuses on stochastic partial differential equations, numerical methods for uncertainty quantification, and applications in engineering and natural sciences. Education: Ph.D. in Mathematics, University of Oslo (2006–2009) Lecturer/Postdoc at ETH Zürich (2010–2013) Junior Professor at University of Stuttgart (2013–2017) Research Interests: Stochastic PDEs, uncertainty quantification, Monte Carlo methods, Bayesian inverse problems, and numerical analysis of random fields. Her work bridges stochastic analysis and numerical simulations, addressing challenges in modeling and simulating complex systems with uncertainties. Grants & Funding: Principal Investigator in projects like 'Data-Integrated Simulation Science' (ExC 2075) and 'Quantitative Methods for Visual Computing' (SFB/TRR 161). Her research also explores applications in porous media, carbon dioxide storage, and optical flow analysis. Supervision: Advised PhD students including Oliver König, Fabio Musco, and Robin Merkle. Current students focus on topics like deep learning for stochastic PDEs and continuous level Monte Carlo methods.

• Behavioral Genetics
• Twin Studies
• Psychiatric Genetics
• +۵ مورد دیگر

Professor Nicholas G. Martin is a distinguished researcher at the Queensland Brain Institute, University of Queensland, with extensive contributions to behavioral genetics and psychiatric research. His work primarily focuses on twin studies, genetic epidemiology, and the genetic basis of mental health disorders. His research interests span behavioral genetics, particularly twin studies methodology, psychiatric genetics focusing on depression and substance use disorders, neurogenetics examining brain structure and function, and genome-wide association studies of complex traits. Martin has pioneered methodologies for analyzing genetic and environmental contributions to complex human behaviors and disorders. His publication record demonstrates consistent productivity in high-impact journals, with recent work emphasizing polygenic risk scores, gene-environment interactions, and cross-ancestry genetic studies. His research often involves large-scale collaborative efforts examining the genetic architecture of psychiatric conditions and related phenotypes. Multiple publications in Nature Genetics, Molecular Psychiatry, and other top-tier journals Extensive work on depression genetics and related phenotypes Significant contributions to twin study methodology Research spanning psychiatric disorders, substance use, and cognitive traits Professor Martin maintains active collaborations across international research networks and has contributed significantly to advancing our understanding of the genetic underpinnings of human behavior and mental health conditions through rigorous quantitative genetic approaches.

• Psychology and Economics
• Political Economy
• Macro-expectations

Chris Roth is a Professor of Economics and Management at the University of Cologne, where he leads research at the intersection of psychology, economics, and political economy. He serves as Co-Editor of the Journal of the European Economic Association and holds a prestigious ERC Starting Grant for his project 'VIRAL Narratives,' which examines how economic narratives spread and influence beliefs through large-scale experiments combining qualitative and quantitative methods. His research focuses on three primary domains: Psychology and Economics (studying cognitive biases in decision-making), Political Economy (analyzing activism and policy perceptions), and Macro-expectations (investigating how households and firms form economic beliefs). His work employs innovative field experiments and survey methodologies to explore real-world behaviors. Recent publications (2022-2025) demonstrate strong trends in narrative economics, expectation formation, and political behavior research. Key themes include: 1) How stories and statistics shape memory and beliefs, 2) Field experiments in labor/housing markets, 3) Information processing in policy contexts, and 4) Behavioral drivers of political activism. Over 80% of recent articles use experimental methods across 15+ countries. Scientific Awards: ERC Starting Grant: VIRAL (101160770) - European Research Council (2021-present) He leads the ERC-funded 'VIRAL Narratives' project and has developed open resources for researchers including doctoral course materials, experimental design guides, and methodological frameworks. No student advising details or lab information is provided in available texts.

Christopher Adolphمشاهده پروفایل

استاد

• Political Economy
• Comparative Politics
• Health Policy
• +۴ مورد دیگر

Christopher Adolph is a Professor of Political Science at the University of Washington, Seattle, and an Adjunct Professor of Statistics. He is a core faculty member of the Center for Statistics and the Social Sciences. His research focuses on political economy, health policy, and quantitative methods. He led the COVID-19 State Policy Project , analyzing pandemic responses across U.S. states. His work appears in journals like BMJ Open , The Lancet , and Nature Medicine . Education: Ph.D., Political Science, Harvard University, 2005 A.M., Political Science, Harvard University, 2000 B.A., Political Science, Economics, and History, Rice University, 1998 Research Interests: Comparative political economy, public policy design, health policy, and statistical methodology. Recent Articles: Focus on pandemic policy analysis, global health equity, and methodological contributions to social science research. Awards: Charles H. Levine Prize for Bankers, Bureaucrats, and Central Bank Politics: The Myth of Neutrality . Lab/Teams: Leads the COVID-19 State Policy Project and collaborates with IHME on pandemic modeling.

Weihua Anمشاهده پروفایل

استاد

• Network Analysis
• Causal Inference
• Social Policy
• +۸ مورد دیگر

Dr. Weihua An is a Professor of Sociology & Quantitative Theory and Methods at Emory University, with affiliations to the East Asian Studies Program, Goizueta Business School, and Rollins School of Public Health. He holds a Ph.D. in Sociology and A.M. in Statistics from Harvard University, complemented by doctoral and postdoc fellowships at the Harvard Kennedy School. His research focuses on advancing network analysis and causal inference methodologies, applied to topics like social inequality, health interventions, and organizational dynamics. He has published in top journals including Annual Review of Sociology, Social Forces, and Sociological Methodology, and developed statistical software packages such as 'fglsnet' and 'DIDMatch.' Dr. An currently serves as Editor of Sociological Methodology and has held editorial roles at American Sociological Review and Journal of Machine Learning Research. He has advised 27 PhD dissertations and 10 undergraduate theses, earning recognition for teaching excellence at Emory.

Vili Lehdonvirtaمشاهده پروفایل

استاد

• Digital Economies
• Platform Governance
• Geopolitics of Digital Infrastructure
• +۴ مورد دیگر

Professor Vili Lehdonvirta is a leading academic in digital economies and platform governance, holding dual roles as Professor of Economic Sociology and Digital Social Research at the University of Oxford’s Oxford Internet Institute (OII) and Professor of Technology Policy at Aalto University’s Department of Computer Science. He leads the Digital Economic Security Lab (DIESL) and has advised the European Commission, OECD, and World Bank on digital policy. His work focuses on the geopolitical implications of digital infrastructure, including cloud computing and AI compute resources, and the governance challenges posed by digital platforms. Education: PhD in Economic Sociology (University of Turku, 2009), MSc in Information Networks (Helsinki University of Technology, 2005), and studies in Law (National University of Singapore, 2023-2024). Prior to academia, he worked as a software developer and game programmer. Research Interests: Geopolitics of digital infrastructure, platform governance, AI compute distribution, cloud sovereignty, and the intersection of technology policy with international relations. His influential books *Cloud Empires* (MIT Press, 2022) and *Virtual Economies* (MIT Press, 2014) explore how digital platforms reshape economic and political landscapes. Key Projects: GEOCLOUD (mapping global cloud infrastructure), Political Geography of AI Infrastructure (tracking AI compute resources), and iLabour (examining platform labor markets). His research has been supported by major grants from the European Research Council and UK ESRC. Awards: PROSE Award Finalist (2023), multiple ERC grants, and advisory roles on EU expert groups. He co-organizes the SASE Digital Economy Network and sits on editorial boards of journals like *Information Society*. Labs/Teams: Leads the DIESL lab at OII, collaborating with global researchers on digital infrastructure geopolitics and policy strategies. Supervises doctoral students exploring AI governance, platform monopolies, and public sector AI projects.

Larry V. Hedgesمشاهده پروفایل

استاد

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

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

Weihua Anمشاهده پروفایل

استاد

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

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

Alexis Akira Todaمشاهده پروفایل

استاد

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

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

Kai Duمشاهده پروفایل

دانشیار

• Financial Accounting
• Information Economics
• Investment Companies
• +۳ مورد دیگر

Kai Du is an Associate Professor of Accounting at The Pennsylvania State University's Smeal College of Business. He specializes in economics-based research at the intersection of financial accounting, capital markets, and information economics. His work has been published in top journals such as The Accounting Review, Journal of Accounting and Economics, and Review of Accounting Studies. He currently serves on the editorial board of The Accounting Review. Education: Ph.D. in Accounting from Yale University (2012). Office: 319 Business Building; Phone: 814-865-6123; Email: kxd30@psu.edu. Research interests include financial accounting, information economics, investment companies, decentralized finance (DeFi), and machine learning applications in finance. His studies explore topics like sustainability-linked loans, big data in accounting, and the impact of geotargeting on information acquisition. Publications focus on themes such as earnings quality, market efficiency, strategic experimentation, and the role of technology in financial reporting. Recent work highlights trends in sustainable finance, machine learning in asset management, and regulatory transparency. Grants and advising: No current grants or students listed. Active in editorial and academic leadership roles.

Stephen Downingمشاهده پروفایل

استادیار

• Strategy
• Entrepreneurship
• Inter-organizational Networks
• +۴ مورد دیگر

Stephen Downing is an Assistant Professor in the Management Department at the University of Missouri's Robert J. Trulaske, Sr., College of Business. His research focuses on how organizations navigate competitive environments through inter-organizational networks, technological change, and market signals. He holds a Ph.D. from National Chiao Tung University (2020) and has visited Mays Business School (Texas A&M) and Gatton College of Business (University of Kentucky). Prior to academia, he managed regional sales for a surveillance hardware firm and co-founded a B2B SaaS startup in Taiwan. Education includes a Ph.D. and M.B.A. from National Chiao Tung University (2020, 2012) and a B.A. from Tulane University (2008). His work bridges strategy and entrepreneurship, emphasizing competitive dynamics and nonmarket interactions. Key themes in his research include causal inference methods, factor market blind spots, and the role of language in signaling competitive intent. His articles span outlets like the Academy of Management Journal , exploring topics from structural balance in competition to ESG rating evolution. No scientific awards are listed, though his recent publications indicate active engagement with cutting-edge strategic management topics. His advising and grants section remains unspecified in the provided text. Downing’s work integrates both qualitative and quantitative analyses, reflecting his prior industry experience in sales and startup leadership.

• Mental Health and Mental Illness
• Parent and Family Mental Health
• Health and Illness
• +۲ مورد دیگر

Dr. Scott Yates is an Associate Professor in the School of Applied Social Sciences at De Montfort University (DMU), within the Faculty of Health and Life Sciences. He holds a PhD in Psychology (2002) and a BSc (1997). His research focuses on mental health, family dynamics in parental mental illness, disability studies, and qualitative methodologies. Key areas include stigma reduction, family communication, and interventions for vulnerable populations. He has collaborated with organizations like the Prato Group and contributed to policy briefs and clinical guidelines. Research highlights include studies on mental health stigma among youth, familial impacts of parental mental illness, and healthcare inequities for sickle cell disease patients. He has published widely in journals such as Frontiers in Public Health , Social Science & Medicine , and British Journal of Social Work . His work has earned awards, including the JRN Veronica Bishop Paper of the Year (2019–2020). Teaching spans research methods, mental health, and health and wellbeing. He advises multiple grants, including initiatives on anti-stigma resources and school-based mental health support. Collaborations with international agencies and academic institutions underscore his commitment to global health equity.