Multilevel data analysis Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۶۱-۷۵ از ۱٬۷۳۳ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

S.V. Subramanianمشاهده پروفایل

استاد

Harvard UniversityUnited States

Dr. S.V. Subramanian (Subu) is Professor of Population Health and Geography at Harvard University with primary appointments in the Department of Social and Behavioral Sciences at Harvard T.H. Chan School of Public Health and the Harvard Center for Population and Development Studies. He serves as Faculty Chair of Harvard's Center for Geographic Analysis and holds affiliations with the Department of Sociology, Weatherhead Center for International Affairs, and Lakshmi Mittal South Asia Institute. As founding director of Harvard's PhD program in Population Health Sciences, he established key academic infrastructure. Education: PhD in Geography (2000), University of Portsmouth, UK MPhil (1993) and MA (1991) in Geography, Delhi School of Economics BA Honors in Geography (1989), University of Delhi Research Focus: Dr. Subramanian leads the Geographic Insights Lab, pioneering data science approaches for precision public policy. His work examines: 1) Food/nutrition security in low-income countries, 2) Geographic heterogeneity in health outcomes, 3) Multilevel modeling of social inequalities, and 4) Political geography-health policy intersections. His 900+ publications employ spatial epidemiology and statistical innovation to address health disparities. Publication Trends: Recent articles demonstrate consistent focus on geospatial analysis of health disparities, particularly in Indian states and constituencies. Work emphasizes granular mortality metrics, nutritional epidemiology, and SDG monitoring using advanced statistical frameworks. Awards & Leadership: Co-Editor-in-Chief of SSM-Population Health (PROSE Award-winning journal) Editorial consultant for The Lancet Highly Cited Researcher since 2015 (top 1% citations globally) Mentoring: Has advised 185+ students across undergraduate, doctoral, and postdoctoral levels. Developed Harvard's first course on multilevel statistical methods (taught globally since 2001). Lab Leadership: Directs the Geographic Insights Lab, which advances precision public policy through geospatial data science and cross-disciplinary health equity research.

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Katarina Domijanمشاهده پروفایل

دانشیار

Maynooth UniversityIreland

Katarina Domijan is an Associate Professor in Statistics at the Department of Mathematics and Statistics, Maynooth University, Ireland. She holds a PhD in Statistics from Trinity College Dublin (2008) and has been affiliated with Maynooth University since 2008, transitioning from Lecturer/Assistant Professor to her current role in 2024. Her academic career includes editorial roles as Associate Editor for The R Journal (2021–present) and the Journal of Computational and Graphical Statistics (2015–2024). Research Interests focus on Bayesian methods for high-dimensional data, particularly in classification problems. She specializes in feature selection and model visualization, with applications spanning agricultural data analysis (e.g., hyperspectral imaging for lactose prediction), medical diagnostics (e.g., sepsis and cancer detection), and space physics (e.g., Saturn Kilometric Radiation classification). Her work bridges theoretical statistics with real-world challenges, including socio-economic studies and forensic science. Key Research Areas Bayesian statistical inference Machine learning for large feature spaces Statistical computing and model interpretability Data visualization and chemometrics Scientific Contributions include leading projects like VistaMilk Phase II (2024–2030, €152,300) and Measuring Carbon Sequestration (2024–2028, €174,788.90). Her 15 most recent publications highlight advancements in ensemble modeling, spatial statistics, and medical diagnostics. Scientific Awards Associate Editor, The R Journal (2021–present) Associate Editor, Journal of Computational and Graphical Statistics (2015–2024) Student Supervision includes PhD and MSc graduates such as Dr. Bruna Wundervald (2024) and Dr. Mark O’Connell (2017). She also collaborates with researchers across disciplines, including Dr. Nadim Akasheh in food hypersensitivity studies.

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Nilo Merino Recaldeمشاهده پروفایل

پژوهشگر

University of OxfordUnited Kingdom

Dr. Nilo Merino Recalde is a Postdoctoral Researcher at the Edward Grey Institute, University of Oxford. His research focuses on animal culture, acoustic monitoring of biodiversity, and applied machine learning. He employs interdisciplinary approaches spanning visual arts, anthropology, and biology to study animal behavior and ecology. His current work emphasizes large-scale acoustic data collection and analysis, with a particular interest in bird song and cultural evolution. Research interests include: Animal culture and its transmission mechanisms Acoustic ecology and biodiversity assessment using sound Machine learning applications in ecological research Data visualization and open science practices His publications highlight advancements in phylogenomic analysis, acoustic datasets for wild bird populations, and software tools like pykanto for bioacoustic research. He actively develops open-source tools to democratize data analysis in ecology. No scientific awards or grants are listed. He currently advises no students but collaborates widely in multidisciplinary teams. His primary affiliation is the Edward Grey Institute's Sheldon Group, where he integrates fieldwork and computational methods to understand animal behavior at ecological and evolutionary scales.

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Fabio Peroccoمشاهده پروفایل

دانشیار

Ca' Foscari University of VeniceItaly

Fabio Perocco is an Associate Professor at the Department of Philosophy and Cultural Heritage at Ca' Foscari University of Venice. His work focuses on migration, social inequality, racism, and labor precarity. He has conducted extensive research on racialized welfare discourses, migrant labor conditions, and Islamophobia in Europe. Key research interests include the intersection of migration and social policy, structural violence against migrants, and the precarization of labor in the digital economy. His studies often highlight systemic discrimination within welfare systems and analyze the socioeconomic impact of migration policies. Recent publications examine topics such as the racialized discourse on social welfare, gig economy labor dynamics, and the structural roots of torture against migrants. He is affiliated with the Research Institute for Social Innovation, contributing to projects addressing territorial inequalities and global migration challenges.

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Michael Burkeمشاهده پروفایل

استاد

Tulane UniversityUnited States

Michael Burke is a Professor and Earl P. and Ethel B. Koerner Chair in Strategy and Entrepreneurship at Tulane University’s A. B. Freeman School of Business. He holds affiliations with the Stone Center for Latin American Studies and serves as Chair of Tulane’s Social-Behavioral Institutional Review Board. His academic journey includes roles at New York University (1985–1991) and visiting professorships at the University of Sheffield (2004). Education: Ph.D. in Psychology (Illinois Institute of Technology, 1982), M.S. in Industrial Psychology (Purdue University, 1980), and B.A. in Psychology (University of Notre Dame, 1977). Burke’s research focuses on Organizational Behavior and Occupational Safety , with emphasis on teamwork effectiveness, safety training, and interrater agreement methodologies. His work spans cross-cultural studies (e.g., Peru, Colombia, Mexico) and integrates psychological principles with practical workplace applications. Key contributions include over 60 publications, including seminal articles on safety training efficacy, meta-analytic methods, and climate assessment. His awards include the 2023 Tulane Convergence Award for interdisciplinary collaboration and multiple Dean’s Excellence Awards (2014–2017). He has supervised 2 dissertations/theses in recent years and actively contributes to academic governance, serving as Editor of Personnel Psychology (2007–2010) and on editorial boards for major journals. Burke’s international experience includes collaborations in Latin America, Australia, and Europe, leveraging his fluency in French.

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Michael C Rodriguezمشاهده پروفایل

استاد

University of Minnesota Twin CitiesUnited States

Michael C Rodriguez is a Professor in the Quantitative Methods in Education department at the University of Minnesota's College of Education and Human Development. He serves as Dean in the Administration (CEHD) and is a leading expert in psychometrics and educational assessment. PhD in Measurement and Quantitative Methods, Michigan State University (1999) MA in Educational Psychology, University of Minnesota (1995) His research focuses on psychometric properties of tests , optimizing test accessibility for diverse learners, and advancing applied measurement through collaborations with schools. Key areas include constructed-response vs. multiple-choice item design, SDG-aligned educational practices, and the intersection of developmental assets with student engagement . Recent publications examine automated evaluation tools , bullying impacts on foster youth, and test validity frameworks . His work aligns with the UN Sustainable Development Goal 4 (Quality Education) . He collaborates on grants from the U.S. Department of Education and Institute of Education Sciences , including projects like the Individual Growth and Development Indicators for Hmong preschoolers and Computer Adaptive Storybook Assessment (CASA).

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Alireza Keshavarzمشاهده پروفایل

استادیار

Maynooth UniversityIreland

Alireza Keshavarz is an Assistant Professor/Lecturer in Marketing at Maynooth University Business School. He holds a PhD in Management Sciences (Marketing) from HEC, Paris. His research focuses on strategic marketing, salesforce management, and compensation dynamics, particularly examining gender pay gaps and salesforce mobility. He is affiliated with organizations such as AMA, EMAC, CNRS Lab GREG-HEC, and Labex ECODEC. His teaching spans marketing analytics, sales management, and business analytics across undergraduate, graduate, and MBA programs. Education: PhD in Management Sciences (Marketing), HEC Paris Research Interests: Sales Force Management Compensation and Incentives Sales Force Mobility Digital Literacy B2B Marketing Strategic Marketing Ambidexterity Recent Research Trends: Recent work emphasizes the interplay between salesforce structures, organizational strategies, and labor market dynamics, with a focus on gender disparities and incentive systems. Professional Contributions: Member of the Editorial Board for Journal of Business Research Regular presenter at conferences like AMA, EMAC, and INFORMS Labs/Teams: No specific labs or collaborative teams explicitly noted in available data.

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Joshua Jeongمشاهده پروفایل

استادیار

Emory UniversityUnited States

Dr. Joshua Jeong is an Assistant Professor in the Hubert Department of Global Health at Emory University's Rollins School of Public Health. He serves as the principal investigator for three cluster randomized controlled trials assessing community-based parenting interventions in Tanzania and Kenya. His work focuses on father-inclusive strategies to improve early childhood development (ECD) in resource-limited settings. Dr. Jeong holds affiliate editorship at the Journal of Child Psychology and Psychiatry and collaborates with NGOs, governments, and international agencies to inform scalable ECD programs. His research integrates mixed-methods approaches for intervention development and evaluation, emphasizing gender equality and couples' relationships. Dr. Jeong earned his ScD and ScM in Global Health and Population from Harvard University (with FLAS Swahili fellowship and Harvard Center on the Developing Child award), and a BS in Human Development from Cornell University. His educational background includes advanced training in implementation science and intervention design. Research interests center on parent-child relationships , particularly father engagement in low-resource contexts. He explores how caregiver mental health, economic empowerment, and family dynamics impact ECD outcomes. Current projects address parenting program scalability through existing community networks and faith-based organizations. Findings aim to improve program fidelity, gender equity, and holistic child development support. His team's work has been recognized with awards from NIH, Society for Research in Child Development, and the Jacobs Foundation. Ongoing projects include evaluations of father-inclusive parenting programs and studies on maternal decision-making power's influence on child care-seeking behaviors. Lab activities involve graduate and undergraduate research assistants analyzing qualitative and quantitative data from fieldwork in Tanzania and Kenya. Weekly lab meetings are project-specific, with Spring 2025 sessions held at the Rollins Building. Collaborations with local implementing partners like Anglican Development Services and ChildFund Kenya drive applied research initiatives.

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Stephen Humphreyمشاهده پروفایل

استاد

Pennsylvania State UniversityUnited States

Stephen Humphrey is the Alvin H. Clemens Professor of Management and Organization at the Smeal College of Business, Pennsylvania State University. His research focuses on social relations at work, with a primary emphasis on teamwork dynamics, negotiation theory, and organizational behavior. He holds a PhD in Organizational Behavior and Human Resource Management from Michigan State University and a BS in Psychology from James Madison University. Professor Humphrey's research explores two core areas: (1) the 'bottom-up' formative design of teams (including composition, role allocation, and reward structures), and (2) the 'top-down' management of existing teams (focusing on temporal dynamics, structural adaptation, and conflict resolution). His work on team microdynamics examines multilevel, multi-period, and multi-theoretical aspects of teamwork. His recent publications demonstrate strong research trends in team dynamics, organizational reputation, negotiation pedagogy, and ethical decision-making. Articles frequently employ meta-analytic approaches and focus on contextual factors influencing team performance across diverse settings. The research consistently bridges theoretical frameworks with practical organizational applications. Professor Humphrey teaches negotiation skills across undergraduate, MBA, EMBA, and executive education programs. He has developed several negotiation simulations derived from real-world scenarios and teaches doctoral seminars on organizational research design. As faculty advisor, he mentors PhD and DBA students in research methodology and academic development.

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Christopher Amesمشاهده پروفایل

استاد بالینی

University of California, San FranciscoUnited States

Christopher Ames is a Clinical Professor in the Departments of Neurological Surgery and Orthopaedic Surgery at the University of California San Francisco (UCSF). He serves as Director of Spinal Deformity & Spine Tumor Surgery, Co-Director of the UCSF Spine Center, Director of the California Deformity Institute, and Director of the Spinal Biomechanics Laboratory. With over 200 annual spinal deformity cases, he specializes in complex procedures for scoliosis, kyphosis, and spinal tumors, pioneering innovative techniques including the transpedicular approach and AI decision support tools. Developed first cervical spine deformity classification Created Adult Deformity Frailty Index and Invasiveness Index Recipient of multiple Scoliosis Research Society awards His research, funded through studies like the ROSE Study and Telomere Study, focuses on spinal biomechanics, surgical outcomes, and AI integration in spine surgery. He has published over 600 peer-reviewed articles and serves as Spine Section Lead Editor for Operative Neurosurgery . Scientific Awards: Hibbs Award (3×) Goldstein Award Whitecloud Award Top Doctors (Neurosurgery & Cancer) US News Top 1% Neurosurgeons

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Sandra Lavenexمشاهده پروفایل

استاد

University of GenevaSwitzerland

Sandra Lavenex is a Full Professor in the Department of Political Science and International Relations at the University of Geneva and Director of the Master in European Studies. She previously held positions at the University of Lucerne, University of Bern, and the College of Europe. University of Geneva: Faculty of Social Sciences Research Focus: International Governance, European Integration, Migration Policies, Democracy Beyond States Her research explores how EU policies on migration and asylum interact with global governance frameworks, with a particular emphasis on trade agreements, third-country participation, and crisis-driven policy changes. She leads major projects funded by the Swiss National Science Foundation and the European Commission, including Horizon Europe initiatives on migration governance and skills development. Recent publications highlight her work on preferential trade agreements as tools for migration control, business migration in Switzerland, and legitimacy challenges during the pandemic. She has supervised numerous doctoral students and contributed to edited volumes on regulatory states and regional migration governance. Scientific Awards : Elected member of Sachverständigenrat Migration und Integration (2024), an advisory body to the German federal government. Lavenex collaborates with postdoctoral researchers like Mariana Alvarado and Elisa Fornalé on projects such as Gs4s and FAiR. Her work bridges academic research with policy-making, particularly in EU-Switzerland relations and global migration regimes.

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Valentijn M.T. de Jongمشاهده پروفایل

استادیار

Utrecht UniversityNetherlands

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.

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Stefano CAMPOSTRINIمشاهده پروفایل

استاد

Ca' Foscari University of VeniceItaly

Stefano CAMPOSTRINI is a Full Professor in the Department of Economics at Ca' Foscari University of Venice, specializing in Social Statistics (STAT-03/B). He serves as a Member of the technical-scientific Committee of the Ca' Foscari Challenge School and the Department of Economics' Committee. His research activities are supported by affiliations with the Research Institute for Social Innovation and the Research Institute for Innovation Management. Professor CAMPOSTRINI's research spans the intersection of statistical methodology, public health, and social policy. His work demonstrates expertise in advanced statistical techniques including Bayesian modeling, spatial analysis, and complex survey methodology. His primary focus areas include healthcare systems analysis, social innovation, public administration, and the economic aspects of health policy. He frequently addresses issues related to comorbidity patterns, healthcare service accessibility, and the application of artificial intelligence in healthcare settings. His publication record from 2021-2025 reveals significant trends in healthcare innovation, with particular emphasis on virtual hospital systems, AI applications in medicine, sustainable healthcare practices, and the statistical analysis of social services like early childhood education. His methodological contributions include novel approaches to analyzing regional health disparities and developing web-based tools for disease prevalence estimation. His research often employs expert consensus methods like Delphi techniques to address complex healthcare organizational challenges. Professor CAMPOSTRINI maintains active involvement in research initiatives through the Research Institute for Social Innovation and the Research Institute for Innovation Management. His work bridges advanced statistical methodology with practical applications in healthcare policy and social service delivery, making significant contributions to evidence-based decision making in public health and social policy domains across Italy and European contexts.

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Patrick J. Curranمشاهده پروفایل

استاد

University of North Carolina at Chapel HillUnited States

Patrick J. Curran is a Professor in the Department of Psychology at the University of North Carolina, affiliated with the L.L. Thurstone Psychometric Laboratory and the Quantitude initiative. His research focuses on quantitative methodologies, particularly longitudinal data analysis and structural equation modeling, applied to developmental psychopathology and adolescent substance use. He collaborates on statistical education through YouTube tutorials, a blog (Help Desk), and workshops, alongside a podcast with Greg Hancock. His work bridges methodological innovation with substantive research in psychology and public health. Key contributions include advancing latent curve models with structured residuals, integrative data analysis techniques, and the dissemination of statistical tools. His research spans disciplines such as developmental psychology, clinical psychology, and epidemiology, addressing topics like alcohol use trajectories, chronic depression mechanisms, and pandemic-related disparities in healthcare workers’ mental health. Lab Affiliations: L.L. Thurstone Psychometric Lab, Quantitude Collaborations: Dan Bauer (statistical education), Greg Hancock (podcast), and interdisciplinary teams in public health and clinical research His publications emphasize methodological rigor and practical application, often addressing gaps in longitudinal data analysis and measurement equivalence. Notable work includes the latent curve model with structured residuals (LCM-SR) and integrative data harmonization strategies for prevention science.

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Jingjing Zouمشاهده پروفایل

استادیار

University of California, San DiegoUnited States

Jingjing Zou is an Assistant Professor in Residence at the Herbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego. Her research focuses on integrating statistical methodologies with medical imaging and public health challenges, particularly in cancer prevention, physical activity analysis, and radiomics. Education: PhD in Statistics, Columbia University MA in Statistics, Columbia University BS in Statistics, Peking University Research Interests: Dr. Zou's work emphasizes functional data analysis, accelerometer-based physical activity monitoring, and MRI techniques for cancer treatment evaluation. She develops statistical models to analyze longitudinal health data, with applications in cardiovascular disease prevention and oncology. Her studies often bridge clinical outcomes with advanced imaging biomarkers. Grants: NIH/NHLBI (Principal Investigator): Examining Longitudinal Changes in Accelerometer-Measured Physical Activity in Preventing Cardiovascular Disease (2024-2028) NIH R37CA249659 (Co-Investigator): Advanced diffusion MRI for cervical cancer treatment evaluation (2021-2026) NIH R01CA255780 (Co-Investigator): Whole-body radiomics for gynecologic cancers (2020-2024) Labs/Teams: Collaborates with interdisciplinary teams in radiology, oncology, and biostatistics, including co-authors like Loki Natarajan (UCSD) and Loren Mell (UCSD).

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