جست‌وجوی استاد و پژوهشگر

• Epidemiology
• Genetic Epidemiology
• Public Health
• +۹ مورد دیگر

Neil Martin Davies is a Researcher at the Department of Public Health and Nursing , Norwegian University of Science and Technology (NTNU) . His work bridges epidemiology, genetics, and public health, with a focus on causal inference, Mendelian randomization, and socioeconomic health disparities. His research explores the intersection of genetic epidemiology , developmental psychology , and clinical outcomes . Key themes include the impacts of antiseizure medications in pregnancy , cardiometabolic risks in psychiatric populations , and health policy implications of Mendelian randomization . Recent publications highlight methodological advancements in directed acyclic graphs (DAGs) , instrumental variable analysis , and family-based sampling . His work frequently addresses parental education effects , sleep patterns , and genetic correlations in large cohorts like UK Biobank. Neil Martin Davies contributes to scientific reporting standards , co-authoring the STROBE-MR guidelines for Mendelian randomization studies. His collaborations span neurology , mental health , and health economics , emphasizing causal relationships over correlational findings.

Abigail Johnsonمشاهده پروفایل

استادیار

• Microbiome
• Nutrition
• Obesity
• +۶ مورد دیگر

Abigail Johnson, PhD, RD is an Assistant Professor in the Division of Epidemiology & Community Health at the University of Minnesota. She also serves as the Associate Director of the Nutrition Coordinating Center (NCC) and is a Member of the Masonic Cancer Center (MCC). Dr. Johnson earned her PhD in Nutrition and completed her Registered Dietitian (RD) training at the University of Minnesota, where she also obtained her BS in Nutrition Science and Biology. Her research explores the relationships between diet and the human gut microbiome in health and disease using novel computational methods for dietary data. Her current focus areas include: analysis of diet and microbiome after dietary interventions, methods development for dietary data analysis and visualization, and understanding the interactions between foods, microbes, and fungi during different stages of development. She is particularly interested in how diet and the microbiome interact to influence chronic diseases including prediabetes, diabetes, and cancer. Dr. Johnson's research demonstrates significant trends in microbiome analysis, dietary assessment, and computational methods. Her work increasingly focuses on personalized nutrition approaches, longitudinal microbiome dynamics, and the integration of multi-omics data to understand diet-microbe-host interactions in disease contexts. Her scientific contributions include: Development of methods for dietary data analysis and visualization Research on diet-microbiome interactions in chronic diseases Studies on how immigration and dietary changes affect the gut microbiome Investigations into personalized diet-microbiome associations Dr. Johnson actively mentors students and researchers in the fields of nutritional science, microbiome research, and computational biology. Her work has been supported by various research grants focused on understanding the complex relationships between diet, the microbiome, and human health.

Til Wykesمشاهده پروفایل

استاد بالینی

• Clinical Psychology
• Rehabilitation Psychology
• Schizophrenia Research
• +۵ مورد دیگر

Dame Til Wykes is a Clinical Professor at King’s College London, leading the School of Mental Health & Psychological Sciences and the Service User Research Enterprise (SURE) . Her work focuses on psychological treatments for schizophrenia , cognitive remediation therapy , and digital mental health services , with international impact on research strategies through projects like European ROAMER and UK Mental Health Research Goals . Education : PhD (University of Sussex), MPhil (King’s College London), BSc (University of Nottingham) Leadership : Head of School (2020–present), Co-Director of SURE, NIHR Maudsley BRC Cluster Lead Research Themes : • Cognitive Remediation Therapy for schizophrenia and psychosis • Digital Mental Health Tools (RADAR-CNS, CIRCuiTS™ software) • Service User Involvement in research design and implementation • Ward Design and Therapeutic Environments in psychiatric inpatient care Selected Scientific Awards : British Psychological Society (2014) GUINNESS WORLD RECORD for Largest Mental Health Lesson Damehood from the Queen (2016) EPA Outstanding Achievement Award SIRS Lifetime Achievement Award (2024) Leadership and Collaborations : President of the Schizophrenia International Research Society (SIRS), Fellow of multiple academies (Medical Sciences, Social Sciences), and Trustee of Weight Concern. She co-leads projects like ECLIPSE and MEMReD , and has contributed to 17 Pharmacological and Psychosocial Treatments in Schizophrenia (3rd ed.).

Anna-Katharina Praetoriusمشاهده پروفایل

استاد

• Teaching quality
• Teacher professionalism
• International comparative educational research
• +۴ مورد دیگر

Anna-Katharina Praetorius is Professor of Research on Learning, Instruction and Didactics at the University of Zurich's Department of Educational Science within the Faculty of Arts and Social Sciences. Her research focuses on conceptual and methodological questions of teaching quality, teacher professionalism, and international comparative educational research. With a distinguished academic career spanning over a decade, she has established herself as a leading researcher in educational psychology and teaching quality assessment. Her research interests center on understanding and measuring teaching quality through multiple perspectives, with particular emphasis on cognitive activation in teaching, the Three Basic Dimensions model, diagnostic competence of teachers, and international comparative studies of instructional quality. She has pioneered work examining contextual factors in teaching quality research and has critically analyzed methodological approaches in the field. Praetorius has published extensively in top educational research journals, with recent work focusing on statistical decisions in teaching quality modeling, context in teaching quality research, and cognitive activation frameworks. Her research shows a clear trajectory toward more nuanced understandings of teaching quality that consider subject-specific, contextual, and methodological complexities. Among her notable recognitions are the 2015 Publication Award in the PostDoc category from the Society for Empirical Educational Research, the 2013 Dissertation Award from the German Psychological Society, and the 2012 Ernst Meumann Prize for outstanding research in empirical educational research. As an active contributor to the academic community, Praetorius serves as an ad-hoc reviewer for research proposals for the German Research Foundation and Swiss National Science Foundation, and reviews for numerous prestigious educational journals including Educational Psychology, Learning and Instruction, and Teaching and Teacher Education. She is a member of several expert associations including the German Psychological Society, European Association for Research on Learning and Instruction, and Society for Empirical Educational Research.

• Semi-globalization strategies
• Family firm strategies
• Institutional approaches to strategy
• +۵ مورد دیگر

Jean-Luc Arregle is a Professor in the Strategy & Organization department at emlyon business school , where he has served since 2012. He previously held a professorship at EDHEC Business School (2010-2011) and served as Director of the PhD Program at emlyon (2015-2018). Arregle is also an Associate Dean for Research at emlyon business school. PhD in Management Sciences (1992, IAE Aix-en-Provence) Accreditation to Supervise Research (1998, IAE Nice) His research focuses on semi-globalization strategies , family firm strategic choices , and institutional influences on multinational enterprises . Publications analyze: organizational autonomy dynamics, family firm internationalization patterns, institutional complexity in foreign investment, multilevel strategic analysis, and resource orchestration in mergers. He serves on editorial boards of Journal of International Business Studies , Strategic Organization , and Entrepreneurship Theory & Practice . Notable works include longitudinal studies of Lamborghini's post-acquisition autonomy management and meta-analytic reviews on family firm uniqueness. Recent publications emphasize: Dynamic frameworks for subsidiary autonomy (2024) Family business-international business integration (2024) Host country politics in multinational strategy (2023) Autonomy oscillation mechanisms (2022) Scientific contributions include Editorial board memberships across 5 journals International Teachers Program (EFMD, 1990) Keynote presentations at Academy of International Business and Strategic Management Society conferences Arregle's work combines theoretical rigor with practical insights from automotive industry case studies (Audi-Lamborghini integration), demonstrating how organizational identity preservation and resource orchestration enable sustained competitive advantage in multinational contexts.

Yi Liمشاهده پروفایل

استاد

• Survival Analysis
• Data Science
• High-dimensional Inference
• +۱۱ مورد دیگر

Yi Li is the M. Anthony Schork Collegiate Professor of Biostatistics at the University of Michigan School of Public Health. With a PhD in Biostatistics from the University of Michigan (1999) and postdoctoral training at Harvard (1999-2000), Dr. Li has established himself as a leading researcher in statistical methodology with applications across multiple biomedical domains. Dr. Li's research spans survival analysis, data science, high-dimensional inference, machine learning, deep learning, spatial data analysis, random-effects models, clinical trial design, and infectious disease modeling. His methodological work finds application in cancer genetics/genomics, radiomics, racial disparity analysis, chronic disease research, and opioid overuse studies. With over 230 publications in major statistical journals including JASA, Biometrika, JRSSB, and Biometrics, as well as premier subject matter journals like PNAS, JAMA, and JCO, Dr. Li's work has significantly impacted both statistical theory and biomedical applications. His research portfolio demonstrates consistent evolution from foundational methodological work in survival analysis and spatial statistics to cutting-edge applications in high-dimensional data, machine learning, and deep learning approaches for complex biomedical problems. The recent publications reveal increasing focus on integrating multiple data sources, causal inference in observational studies, and developing interpretable machine learning models for clinical applications. Dr. Li's work has been continuously supported by NIH funding since 2003, including multiple National Cancer Institute grants (R01 CA95747, 1P01CA134294-010002, R21CA157219, R01CA249096, R01CA269398) and a National Institute on Aging grant (R21AG058198). He actively collaborates with researchers from the University of Michigan and Harvard University on clinical and observational studies. As an educator, Dr. Li has taught advanced courses in survival analysis and statistical methods, mentoring the next generation of biostatisticians. His methodological contributions have been widely recognized through invitations to serve on NIH study sections (BMRD 2008-2012, EPIC 2015-2019) and as Associate Editor for leading statistical journals including Journal of the American Statistical Association, Biometrics, and Scandinavian Journal of Statistics.

Anders Stenbergمشاهده پروفایل

استاد

• Labor Economics
• Education Economics
• Gender Studies
• +۳ مورد دیگر

Anders Stenberg is a Professor of Economics at Stockholm University , where he works at the Swedish Institute for Social Research (SOFI) . His research focuses on Labor Economics and Education Economics , with particular attention to gender dynamics, policy evaluation, and socioeconomic outcomes. Co-leader of the Labor Economics (AME) research unit Member of the GAINS (Gender Analysis and Interdisciplinary Network, Stockholm) group His work examines: Causal effects of educational content on voter turnout and health outcomes Policy impacts of domestic services subsidies on immigrant labor market integration Long-term consequences of upper secondary school programs Evaluations of Higher Vocational Education in Sweden Interactions between gender identity and household income dynamics Recent publications demonstrate his expertise in: 2024 - Intergenerational educational spillovers and mental health economics 2023 - High school specialization and earnings trajectories 2022 - Gender income dynamics and adult education effectiveness 2012-2017 - Longitudinal studies on education-policy interactions

Blaine Landisمشاهده پروفایل

دانشیار

• Organizational Behavior
• Social Networks
• Personality Psychology
• +۳ مورد دیگر

Blaine Landis is an Associate Professor of Organizational Behavior at the School of Management, University College London . He holds a PhD in Organizational Behavior from the University of Cambridge. His research focuses on social networks, personality dynamics, and workplace relationships, with emphasis on how individuals navigate informal connections and generative AI's organizational impact. Education: PhD in Organizational Behavior, University of Cambridge Research Interests: Personality traits and leadership emergence Advice dynamics in workplaces Relational misperceptions and network analysis Generative AI's implications for organizations His work has been published in top journals like Organization Science , Psychological Science , and Journal of Applied Psychology . Awards & Recognition: While no specific awards are listed, his research has been featured in The Economist , Harvard Business Review , and Wall Street Journal . Advising & Grants: PhD advisees: Velvetina Lim, Jingze Wang Research projects include 'Integrating Personality and Networks at Work' and 'Generative AI and Organizations' Labs/Teams: Collaborates across interdisciplinary teams at UCL School of Management.

• Survival Data Analysis
• Frailty Models
• Cure Models
• +۳ مورد دیگر

Catherine Legrand serves as Professor of Biostatistics at UCLouvain (Louvain-la-Neuve, Belgium), affiliated with the Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) and the Louvain School of Statistics, Biostatistics and Actuarial Sciences (LSBA) within the Faculty of Science. She chaired ISBA from 2019-2022 and currently presides over the Louvain Institute for Data Analysis and Modeling (LIDAM). Her academic foundation includes: Master Degree in Mathematics from Université Libre de Bruxelles (1998) PhD in Statistics from Hasselt University (2005) supervised by Prof. Paul Janssen and Prof. Luc Duchateau, specializing in survival analysis and frailty models Her research program centers on Survival Data Analysis with emphasis on frailty models, cure models, and Joint Models for Longitudinal and Survival Data. She develops methodologies for clinical trial design and analysis with direct applications in oncology data, bridging theoretical statistics and clinical practice through collaborations with medical researchers. Analysis of her recent publications (2023-2025) reveals three dominant trends: 1) Advanced survival modeling techniques (semi-Markov, cure rate models) for disease progression; 2) Validation frameworks for surrogate endpoints in clinical trials using joint modeling; 3) Emerging applications in health insurance analytics and public health systems. Her work increasingly addresses real-world healthcare challenges while maintaining methodological rigor. No scientific awards were documented in the available sources. Information regarding student supervision and research grant funding was not provided in the current materials. She leads research within LIDAM and ISBA, building on her prior role as primary statistician for the EORTC Lung Cancer Group where she contributed to multiple Phase II/III trials in lung cancer and mesothelioma. Her current work integrates biostatistical methodology development with practical applications across oncology, public health, and actuarial science domains.

• Biostatistics
• HIV/AIDS
• Causal Inference
• +۴ مورد دیگر

Joseph W Hogan is the Carole and Lawrence Sirovich Professor of Public Health and Professor of Biostatistics at Brown University, where he also chairs the Biostatistics Department. His research focuses on statistical methods for missing data, causal inference, and sensitivity analysis , with critical applications in HIV/AIDS in sub-Saharan Africa and global health challenges. He co-directs the Biostatistics Program for AMPATH and the Biostatistics Core for the Providence-Boston Center for AIDS Research, supported by NIH and NSF grants . His work integrates Development of statistical frameworks for observational studies Optimizing HIV treatment monitoring under resource constraints Modeling untestable assumptions in clinical trials and spans collaborations with institutions in the US, Canada, and Kenya. He teaches advanced biostatistics courses and supervises PhD/masters students, while leading international training programs in biostatistics at Moi University, Kenya. Recent publications highlight methodological innovations in viral sequence clustering , seroprevalence studies , and health equity , particularly in low-resource settings. His interdisciplinary grants address HIV-comorbidity care , cardiovascular risk , and alcohol-HIV interactions , emphasizing real-world data applications.

• Health Equity
• Maternal and Child Health
• Reproductive Health
• +۳ مورد دیگر

Dr. Kyrah K. Brown is an Associate Professor in the Department of Kinesiology at the University of Texas at Arlington's College of Nursing and Health Innovation. As a health equity researcher and community psychologist, her work focuses on participatory approaches to address structural determinants of Black women's cardiovascular and reproductive health across the lifespan. Her education includes: PhD in Psychology (Community Psychology) from Wichita State University (2014) MA in Psychology (Community Psychology) from Wichita State University (2012) BA in Psychology from Spelman College (2010) Dr. Brown leads interdisciplinary research on gendered racism and colorism, employing community-based participatory methods to investigate healthcare disparities. Her current projects examine systemic factors influencing maternal morbidity and diabetes management among minority populations. Her publications predominantly explore healthcare inequities through mixed-methods approaches, with recent work emphasizing: Community-centered interventions for maternal health Digital health adoption in minority communities Policy impacts on rural healthcare access Intersectional analysis of chronic disease management Scientific awards recognizing her contributions include: Samuel Hughes Professorship for health equity research Reby Cary Faculty Excellence Award for African American faculty leadership Early Career Award from the Society for Community Research and Action She mentors graduate students and postdoctoral researchers through the Young Children Are Researchers (YCAR) project and directs community partnerships with the Tarrant County Birth Equity Collaborative. Major grants include NIH-funded projects developing system dynamics models to reduce maternal morbidity disparities ($1.8M). She leads research teams across seven European countries for the CHILD-UP project on migrant children's integration.

Timothy W Curbyمشاهده پروفایل

استاد

• Emotion-focused teaching
• Early childhood education
• Teacher-student interactions
• +۳ مورد دیگر

Timothy W Curby is a Professor in the Applied Developmental Psychology department at George Mason University . His research focuses on early childhood classroom experiences, teacher-child interactions, and the application of advanced statistical models to educational research. He leads the Development in School Contexts (DISC) Lab , which examines how teacher-student interactions drive children's emotional and social development, with a particular emphasis on creating observational measures like the Emotion Teaching Rating Scale (EMOTERS) . Dr. Curby is also involved in partnerships with institutions such as the University of Illinois at Chicago, supporting professional development for preschool teachers through coaching and learning communities. Education: PhD in Educational Psychology—Learning and Development (University of Virginia), MA in Teaching (University of Michigan), BS in General Biology (University of Michigan) Key Research Areas: Emotion-focused teaching, classroom quality measurement, trauma-informed practices, and statistical modeling of teacher-child interactions Grants: Co-Principal Investigator for the Chicago Early Childhood Preparation and Pathway Partnership (US Department of Education, 2019–2024); Statistician for NIH-funded studies on parent-adolescent interactions and substance use Students Supervised: Vera Hawa, Negar Fatahi, Laura Rose Elizabeth Stokes, and others Teaching: Courses in developmental psychology, longitudinal data analysis, and multivariate statistics

• Women’s Health
• Maternal Health
• Preconception and Pregnancy Care
• +۷ مورد دیگر

Dr. Angela Flynn is a Senior Lecturer in the School of Population Health at RCSI. She holds a BSc in Pharmacy from Trinity College Dublin, an MSc in Nutrition, and a PhD in maternal health from King's College London. Her academic career includes a Lecturer position at King's College London (2021–2023) before moving to RCSI in 2023. Her research focuses on optimizing pregnancy preparation, improving outcomes for women at metabolic risk, and leveraging community pharmacies for public health interventions. Key themes include gestational diabetes prevention, postpartum care for pregnancy complications, and intergenerational health patterns. She employs large datasets and qualitative methods to inform policy and clinical practice. Her work aligns with UN Sustainable Development Goal 3 (Good Health and Well-Being) and targets vulnerable populations through innovative interventions. Recent studies investigate preconception health behaviors, maternal obesity outcomes, and the role of AI in nutritional assessment. Publications span peer-reviewed journals like BJOG , Nutrients , and Public Library of Science , with a focus on systematic reviews, meta-analyses, and clinical trial insights. Her research emphasizes translational healthcare solutions and community engagement.

• Education Equity
• Quantitative Methodologies in Education
• Educational Policy Analysis
• +۳ مورد دیگر

Dr. Dave Hicks is a Lecturer in Data Analysis and Assessment in Education at the University of Tasmania's Faculty of Education. His research focuses on education equity, quantitative methodologies, and systemic barriers affecting marginalized student groups. He holds a PhD (2021), Grad Cert (Research) (2021), and Bachelor of Education (Honours) (2014) from the University of Tasmania. Education Background: PhD in Education, University of Tasmania (2021) Graduate Certificate in Research, University of Tasmania (2021) Bachelor of Education (Honours), University of Tasmania (2014) Research Interests: Dr. Hicks applies data-driven approaches to analyze educational policies and practices, particularly addressing inequities in low SES, regional, and Indigenous student populations. His work emphasizes collaboration with schools, governments, and NGOs to drive systemic change. Key areas include: Online engagement strategies for disadvantaged students Teacher retention and wellbeing in secondary education Culturally responsive pedagogies for Indigenous learners VR technology in place-based education Recent Research Trends: His 2023-2025 publications highlight: Quantitative analysis of literacy gender gaps VR-based educational innovations Policy frameworks for Indigenous student success Online pedagogies for diverse student groups Grants & Partnerships: Active grants include: $177,574 DECYP literacy training package (2023-2024) $58,077 Table Cape VR Education Project (2024) $49,997 National Centre for Student Equity grant (2024-2025) Labs/Teams: Collaborates with CALE (College of Arts Law and Education) and interdisciplinary teams on projects like the Table Cape VR initiative and TBRI professional learning programs.

Marcelo Urquiaمشاهده پروفایل

دانشیار

• Epidemiology
• Immigrant Health
• Maternal and Child Health
• +۷ مورد دیگر

Dr. Marcelo Urquia is an Associate Professor at the Max Rady College of Medicine, University of Manitoba, and holds a Canada Research Chair in Applied Population Health. He specializes in epidemiology, focusing on gender, immigration, and health equity with a life-course perspective. His work leverages large population-based databases to study maternal and child health, migration health, and family dynamics. Cross-appointments include the Department of Economics (Faculty of Arts) and the Dalla Lana School of Public Health, University of Toronto. Key affiliations include the Manitoba Centre for Health Policy (MCHP) and ICES (Toronto). Education: PhD in Epidemiology (University of Toronto, 2009), MSc in Epidemiology (University of Toronto, 2006), and degrees in Anthropology and Public Health from institutions in Argentina. Awards include membership in the Royal Society of Canada’s College of New Scholars (2020) and a Canada Research Chair designation (2017). Research interests span maternal/child health, immigrant health, and social determinants of health. He leads studies on child marriage, family structure measurement, and pandemic impacts on birth outcomes. Collaborations include global networks like the Migration Health and Development Research Initiative (MHADRI) and the Reproductive Outcomes and Migration collaboration. Dr. Urquia mentors graduate students (Master’s/PhD) and actively publishes on topics like food insecurity, migrant mortality advantage, and child protective services disparities. His work bridges epidemiology with policy, emphasizing data-driven solutions for health equity.