جست‌وجوی استاد و پژوهشگر

Vernon Chinchilliمشاهده پروفایل

استاد

• Biostatistics
• Clinical Trials
• Multivariate Analysis
• +۴ مورد دیگر

Vernon M. Chinchilli is a Distinguished Professor of Public Health Sciences and Professor of Statistics at The Pennsylvania State University. He holds appointments in the Department of Public Health Sciences (Division of Biostatistics and Bioinformatics) and the Department of Statistics. His primary affiliation is with the College of Medicine. Dr. Chinchilli received his PhD in Statistics from the University of North Carolina at Chapel Hill (1979) and a BS in Mathematics from Penn State (1974). His research focuses on biostatistical methodology for multi-center clinical trials, multivariate analysis of longitudinal data, and statistical methods for crossover designs. He has led NIH-funded Data Coordinating Centers for studies on lung disease, kidney disease, and acute kidney injury (AKI). Notable roles include Principal Investigator for the Natural History of AKI Consortium and the Biostatistics Research Center for Impaired Awareness of Hypoglycemia. Dr. Chinchilli teaches doctoral courses in multivariate analysis (PHS 523) and statistical methods in public health (PHS 554/555). He has advised 35 PhD and 40 MS students. His honors include Fellow of the American Statistical Association (1997) and extensive contributions to methodological advancements in clinical trial design and analysis. Key areas of investigation include: 1) statistical methods for agreement assessment and equivalence testing in clinical trials, 2) biomarker development for kidney function decline, and 3) application of machine learning in predicting post-hospitalization outcomes. He collaborates internationally on projects like the ENICTO cancer treatment outcomes initiative and the S-AKI sepsis biomarker study. Recent work explores: cognitive change measurement in aging populations, opioid alternative therapies for chronic pain, and vaccine efficacy in immunocompromised patients. His research spans 541 peer-reviewed publications and 15 active NIH grants, with particular emphasis on translating statistical innovations into clinical practice.

• Quantitative Methods
• Equivalence Testing
• Robust Statistics
• +۲ مورد دیگر

Robert A Cribbie is a Professor in the Department of Psychology at the Faculty of Health, York University. His work focuses on quantitative methods for psychological data analysis, particularly equivalence testing, multiplicity control, and robust statistical procedures. Current research emphasizes negligible effect testing, Bayesian statistics, and longitudinal data modeling Active in teaching graduate/undergraduate courses: Statistical Methods, ANOVA, Regression, Multivariate Analysis PI of multiple SSHRC grants (2020-2026) for equivalence testing and statistical modeling research Advisor to 12+ graduate students including Victoria Celio, Naomi Martinez Gutierrez, and Udi Alter Leads Robust Statistics Lab which developed the 'negligible' R package for equivalence analysis Recent publications address: • Equivalence testing in structural equation modeling (2024-2025) • Methodological improvements for Bayesian statistical guides (2025) • Multiplicity control practices in psychological research (2025) • Effect size interpretation standards (2023)

Peter van der Heijdenمشاهده پروفایل

استاد

• Categorical Data Analysis
• Data Science
• Multivariate Statistics
• +۳ مورد دیگر

Prof. Peter van der Heijden is a Professor of Statistics for the Social and Behavioural Sciences at Utrecht University's Department of Methodology and Statistics. He also holds a professorship in Social Statistics at the University of Southampton. His roles include chairing the Ethical Review Board and the Committee for Policy on Integrity at Utrecht's Faculty of Social and Behavioural Sciences. He chairs the Advisory Council on Methodology and Quality of Statistics Netherlands and serves on the Executive Board of the European Statistical Advisory Committee (ESAC). Since 2017, he has led Utrecht's Applied Data Science focus area, focusing on human-centered AI and data-driven solutions. His research emphasizes population size estimation, fraud detection, and categorical data analysis, with applications for Dutch ministries and international bodies like the UN. He has pioneered methods for estimating human trafficking victims and optimizing healthcare treatments using multilevel models and neural networks. Key projects include the AI for Health initiative with Utrecht Medical Center and Wageningen University. His work bridges statistical rigor with societal impact, addressing challenges in criminal justice, public health, and policy-making through innovative methodologies. Universities: Utrecht University (Primary), University of Southampton Key Committees: European Statistical Advisory Committee, UN Human Trafficking Monitoring Research Themes: Multiple Systems Estimation, Data Science for Social Issues Research interests span statistical methods for complex societal problems, including: Register linkage and fraud detection Machine learning applications in healthcare Human trafficking prevalence estimation His publications (2019-2023) highlight advancements in multilevel modeling, randomized response techniques, and AI-driven clinical data classification. He has advised on policy frameworks for official statistics and contributed to global initiatives like the UN Sustainable Development Goals (Target 16.2). Grants and collaborations include projects with Dutch ministries, the EU, and international organizations. Current initiatives involve optimizing Hepatitis C treatment networks and improving criminal recidivism prediction models. His leadership in interdisciplinary teams ensures methodological innovation addresses real-world challenges.

Ayesha Aliمشاهده پروفایل

استاد

• Graphical Markov models
• Pollination networks
• Multivariate statistics
• +۷ مورد دیگر

Ayesha Ali is a Professor of Statistics and Director of the Master of Data Science program at the University of Guelph. She holds a PhD in Statistics from the University of Washington (2002) and has expertise in statistical methods for complex high-dimensional systems, including ecological networks, causal inference, and bioinformatics. Her research integrates graphical Markov models, machine learning, and statistical computing to address challenges in plant-pollinator networks, livestock genetics, and disease risk modeling. Education: B.Sc. Honours in Statistics and Actuarial Science, University of Western Ontario (1996) M.Sc. in Statistics, University of Toronto (1998) Ph.D. in Statistics, University of Washington (2002) Research Interests: Graphical Markov models and ecological networks Causal inference and longitudinal data analysis Machine learning and high-dimensional predictive modeling Statistical methods for livestock genetics and animal health Computational statistics and bioinformatics Articles Trends: Her recent work spans interdisciplinary applications, including veterinary oncology biomarker discovery, remote sensing for agricultural suitability, and pipeline development for cross-species transcriptomics. She emphasizes graphical structure exploitation in regression and predictive modeling, with contributions to both theoretical and applied statistical methodologies. Awards: Canadian Journal of Statistics Award (2020) for groundbreaking work on doubly sparse regression NSERC Discovery Grant (2018) NSERC Collaborative Research and Development Grant (2015) Advising & Grants: She has supervised numerous graduate and undergraduate students on projects ranging from plant-pollinator network analysis to bioinformatics. Her grants include NSERC-funded research on milk fatty acid genetics and statistical methods for clustered data. Labs/Teams: Involved in the Bioinformatics program at the University of Guelph, contributing to interdisciplinary research collaborations in ecology and animal science.

• Environmental Health
• Toxicology
• Occupational Health
• +۴ مورد دیگر

Nolwenn Noisel is an Associate Professor at Université de Montréal’s School of Public Health (École de santé publique), affiliated with the Department of Environmental and Occupational Health (Département de santé environnementale et santé au travail). She specializes in environmental toxicology, occupational health, and exposure assessment. She teaches courses such as MSN-1002 (Air Pollution and Nuisances), MSN-2002 (Waste Management and Contaminated Soils), and MSN-6018 (Industrial Toxicology). Her research focuses on environmental and occupational health risks, including exposure to contaminants like PFAS, pesticides, and heavy metals. She leads projects on climate change adaptation for agricultural workers, urban garden contamination, and biological monitoring strategies. She collaborates with institutions like the Réseau AIRS (air and respiratory/sonic research) and the Centre de recherche en santé publique (CReSP). Noisel has secured funding from agencies like FRQNT, FRQS, and MITACS for projects spanning 2019–2027. She advises graduate students on environmental and occupational health topics, including a recent master’s thesis on Lebanon’s population biomonitoring. Her work emphasizes interdisciplinary approaches to public health challenges, integrating epidemiology, toxicology, and risk assessment. She actively recruits master’s students for research on climate change adaptation strategies for Quebec’s agricultural sector. Her teaching and research align with broader institutional goals in environmental sustainability and public health policy.

David Putsمشاهده پروفایل

استاد

• Human Evolution
• Sexual Selection
• Hormonal Biology
• +۳ مورد دیگر

David Puts is a Professor of Anthropology at Pennsylvania State University, specializing in evolutionary approaches to human behavior. His research focuses on sexual selection, hormonal influences on behavior, and reproductive strategies. He holds a B.A. from Kenyon College (1995), M.A. (1998), and Ph.D. (2004) from the University of Pittsburgh. Puts’ work bridges anthropology, biology, and psychology, emphasizing topics like voice pitch as an evolutionary signal, pubertal timing effects, and the biological basis of gendered behavior. His lab (https://beel.la.psu.edu/) investigates human evolution and sexual selection mechanisms. Research interests include vocal communication, hormonal endocrinology, and the evolutionary origins of sexual dimorphism. His studies often address how traits like voice pitch or facial features signal health, dominance, or fertility. Recent work examines cross-cultural variations in social perception and the role of hormones in shaping sexual motivation. Puts frequently collaborates across disciplines, integrating data from primatology, endocrinology, and behavioral ecology. Publications highlight themes such as sexual orientation’s biological underpinnings, the relationship between vocal parameters and health, and the societal implications of evolutionary adaptations. His research has been featured in high-impact journals, emphasizing methodological rigor and interdisciplinary synthesis.

Fletcher Hallidayمشاهده پروفایل

استادیار

• Disease Ecology
• Plant Pathology
• Biodiversity
• +۴ مورد دیگر

Fletcher Halliday is an Assistant Professor at the Department of Botany and Plant Pathology at Oregon State University, where he leads the Disease Ecology and Diversity Lab . His research focuses on understanding the interplay between host-pathogen communities, climate change, and land-use impacts on disease risk. Primary affiliation: Oregon State University Research lab: Disease Ecology and Diversity Lab Dr. Halliday's work explores how biodiversity moderates disease dynamics, with studies on fungal epidemics, coinfection interactions, and trait-based susceptibility in plant systems. His research spans elevational gradients, successional ecosystems, and climate manipulation experiments to uncover patterns in pathogen distribution and community assembly. Recent publications highlight trends in biodiversity-disease relationships, climate change effects on herbivory and infection, and multiscale ecological interactions. Articles from 2020–2025 emphasize meta-analytic frameworks, priority effects in parasite assembly, and the role of functional traits in disease risk prediction. The Disease Ecology and Diversity Lab investigates disease risk in complex ecological systems, prioritizing integrative approaches to pathogen community structure and climate-driven changes in host-parasite interactions.

Christine P. Stewartمشاهده پروفایل

استاد

• Maternal and Child Nutrition
• Global Health
• Public Health
• +۳ مورد دیگر

Christine P. Stewart, Ph.D., is the Corinne L. Rustici Endowed Chair in Applied Human Nutrition and Professor in the Department of Nutrition at the University of California, Davis. She directs the Institute for Global Nutrition and holds a concurrent role as a Nutritionist in the College of Agricultural and Environmental Sciences (AES). Her academic affiliations include the Department of Nutrition and collaborative roles in global health initiatives. Education: B.S. from Cornell University, M.P.H. from Tulane University, and Ph.D. from Johns Hopkins Bloomberg School of Public Health. Her research focuses on designing and evaluating nutrition interventions for women and children in low-income settings, emphasizing community-based randomized trials, longitudinal studies, and policy-relevant evidence synthesis. Geographically, her work spans Kenya, Malawi, Madagascar, Bangladesh, and Ecuador. Key research themes include maternal-child nutrition interventions, micronutrient supplementation in pregnancy, and the interplay between water/sanitation/hygiene (WASH) and nutritional outcomes. Her publications (15 highlighted here) emphasize global health equity, with a focus on child growth, infectious disease prevention, and policy translation. Collaborations with multinational teams have produced evidence on egg supplementation, lipid-based nutrient supplements, and integrated WASH-nutrition programs. Grant and advising activities include leading large-scale trials such as the WASH Benefits study and MAHAY trial in Madagascar. She oversees multidisciplinary teams addressing systemic barriers to nutritional health in resource-poor settings. The Institute for Global Nutrition under her direction serves as a hub for translational research and policy engagement.

• Internal Medicine
• Geriatrics
• Gut Microbiome
• +۷ مورد دیگر

Andrea Ticinesi is an Associate Professor of Internal Medicine at the Università degli Studi di Ferrara, Department of Medical Sciences, a position he has held since June 2025. Previously, he was affiliated with the University of Parma and the Azienda Ospedaliero-Universitaria di Parma, where he served in academic and clinical roles including Assistant Professor in the Department of Medicine and Surgery. His work bridges clinical medicine and translational research, with a strong emphasis on aging-related conditions. Dr. Ticinesi's research focuses on the interplay between aging, nutrition, gut microbiota, and musculoskeletal health. His key areas include sarcopenia, osteoporosis, frailty, and the gut-kidney and gut-muscle axes. He investigates how dietary components like polyphenols and probiotics influence microbial composition and systemic inflammation, impacting bone and muscle health in older adults. His work often integrates clinical observations with microbiome analysis and nutritional interventions. His recent publications highlight a consistent trend in geriatric medicine, emphasizing non-invasive diagnostics (e.g., lung and diaphragm ultrasound), the role of inflammation in chronic diseases, and the clinical management of elderly patients with multimorbidity. He frequently contributes to studies on COVID-19 in older populations, delirium, and hospital care models for the elderly. Associate Professor, Università degli Studi di Ferrara (2025–present) Assistant Professor, University of Parma (2015–2025) Ph.D. in Medical Sciences, University of Parma (2014–2017) M.D. and Board Certification in Internal Medicine, University of Parma (2003–2015) Dr. Ticinesi has been actively involved in peer review for numerous journals in geriatrics, nutrition, and internal medicine, including Aging Clinical and Experimental Research , European Geriatric Medicine , and Osteoporosis International . His collaborative work includes participation in large-scale studies such as the REPOSI registry and international consensus initiatives on microbiome research in urolithiasis. He has not received any explicitly mentioned scientific awards in the provided data. His research is supported by institutional affiliations and collaborative networks rather than individual grants detailed here. He is a core member of research teams focusing on geriatric diagnostics, mobile health units (MMU program), and the application of chest ultrasound in elderly care. His work is conducted within multidisciplinary groups involving geriatricians, nephrologists, microbiologists, and nutritionists, primarily based in Parma and now Ferrara.

Bjørge Hermann Hansenمشاهده پروفایل

پژوهشگر ارشد

• Physical Activity Epidemiology
• Measurement of Physical Activity
• Accelerometry
• +۳ مورد دیگر

Bjørge Hermann Hansen is a postdoctoral researcher at the Department of Sport Medicine, Norwegian School of Sport Sciences (NIH), actively engaged in national physical activity surveillance and the International Children's Accelerometer Database (ICAD). His work bridges epidemiology, statistics, and device-based measurement to investigate activity patterns across diverse populations including children, cancer survivors, and clinical cohorts like Duchenne Muscular Dystrophy patients. Previously referenced in 2020-2023 materials as a University of Agder professor, NIH's December 2023 employee page confirms his current research role at Norway's premier sport science institution. Hansen's research focuses on physical activity epidemiology and measurement validity, specializing in accelerometer data analysis. He investigates intensity distribution, sedentary behavior, and their health associations across lifespan stages. His methodological expertise includes harmonizing multi-cohort data, validating self-report tools against objective measures, and developing protocols for reliable activity monitoring. Current projects address environmental determinants like family car ownership and school policies on screen time. Recent publications reveal a dominant trend: large-scale meta-analyses using pooled international data (ICAD) to establish dose-response relationships between activity patterns and mortality. He also examines secular trends in Norwegian youth activity, methodological challenges in measurement, and the impact of clinical conditions on movement behaviors. Key journals include The Lancet, British Journal of Sports Medicine, and PLOS ONE. Scientific awards: None explicitly mentioned in source materials. Hansen teaches Statistics, Epidemiology, and Scientific Methods at NIH, translating complex concepts through podcasts like Fysioformidlingen. While no specific grants or student advising records are provided, his leadership in national surveillance projects (e.g., Kan3 reports for Folkehelseinstituttet) indicates active grant-funded research. He advocates for evidence-based policies such as school mobile phone bans to increase recess activity. He collaborates with the ICAD consortium and Norwegian Institute of Public Health on population monitoring. His work with the Kan3 project involves nationwide data collection on adult physical activity and fitness. Recent Folkehelseinstituttet reports (2023-2024) demonstrate his role in national health surveillance systems.

Virginia Frances J. Newcombeمشاهده پروفایل

عضو هیئت علمی

• Traumatic Brain Injury
• Magnetic Resonance Imaging
• Neurotrauma
• +۵ مورد دیگر

Dr Virginia Newcombe is an Honorary Consultant in the Department of Medicine, Division of Anaesthesia, at the University of Cambridge’s School of Clinical Medicine, based at the Wolfson Brain Imaging Centre. She is also an active Principal Investigator within Cambridge Neuroscience, contributing to the Brains and Machines and Lifelong Brain Development and Brain Ageing research themes. Education and Training: While specific degrees are not listed in the provided text, Dr Newcombe’s extensive peer-reviewed output and honorary consultant status indicate advanced clinical and research training in medicine, neuroimaging and neurotrauma. Research Focus: Her programme centres on translating advanced magnetic resonance imaging into clinically actionable biomarkers for traumatic brain injury (TBI). Key themes include: Prediction of short- and long-term outcomes after mild, moderate and severe TBI. Influence of acute management strategies (Emergency Department and Neuro-critical Care) on patient trajectories. Multimodal integration of MRI, blood-based biomarkers, neuropsychological testing and machine-learning approaches. Neuroinflammatory and neurodegenerative sequelae of TBI and COVID-19. Publication Trends: Across >60 publications (2013-2025), her work spans high-impact journals such as Brain , JAMA Neurology , Neurosurgery , Critical Care and Neuroimage . The corpus reveals a rapid acceleration of output post-2020, with particular emphasis on large-scale collaborative studies (CENTER-TBI, Cambridge NeuroCOVID), methodological harmonisation of multi-centre MRI data, and the integration of blood biomarkers with advanced neuroimaging to improve prognostic accuracy. Scientific Awards and Recognition: Although no explicit awards are listed, her leadership roles in international consortia, frequent keynote-level publications and invitations to co-author NINDS/NICE guidance documents indicate significant peer recognition. Collaborations & Funding: Dr Newcombe collaborates closely with Cambridge colleagues including Prof David Menon, Dr Guy Williams, Prof Peter Hutchinson, Dr Marta Correia and Dr Adel Helmy. She is also a key member of the CENTER-TBI, TRACK-TBI and Cambridge NeuroCOVID initiatives, securing multi-million-pound grants from NIHR, EU Horizon 2020 and UK research councils. Laboratory & Teams: She leads a translational neuroimaging group embedded within the Wolfson Brain Imaging Centre, equipped with 3 T and 7 T MRI, state-of-the-art post-processing pipelines and dedicated Emergency Department/ICU recruitment infrastructure. The team currently welcomes doctoral applications and hosts post-doctoral researchers, clinical research fellows and imaging analysts.

• Vascular Biology
• Atherosclerosis
• Arterial Stiffness
• +۲ مورد دیگر

Dr. Stella Daskalopoulou is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) and a Professor in the Department of Medicine at McGill University's Faculty of Medicine and Health Sciences. She specializes in translational cardiovascular research with a focus on vascular health, atherosclerosis, and hypertension management. Senior Scientist, RI-MUHC Glen site Professor, Department of Medicine, McGill University Member, Cardiovascular Health Across the Lifespan Program Research Focus: Her work integrates biomedical technology with clinical investigation to identify early vascular impairment markers. Key areas include: Arterial stiffness and hemodynamic assessment Adiponectin signaling pathways in atherosclerosis Sex-specific cardiovascular risk stratification Biomarker discovery for plaque instability Pregnancy-related vascular complications Machine learning applications in plaque classification Scientific Engagement: Dr. Daskalopoulou contributes to hypertension guideline development (2024 ESC Guidelines) and explores environmental impacts on vascular health (household pollution studies). Her recent publications emphasize: Deep learning for plaque characterization Sex hormone receptor pathways in atherosclerosis Adipokine interactions with HDL metabolism Clinical decision tools for preeclampsia prediction Laboratory: Leads the Vascular Health Unit at RI-MUHC, combining histopathology, immunophenotyping, and advanced imaging for translational research.

Aoife Gowenمشاهده پروفایل

استاد

• Hyperspectral Imaging
• Sustainable Transport Policy
• Critical Thinking in Education
• +۴ مورد دیگر

Professor Aoife Gowen is a leading academic at the UCD School of Biosystems & Food Engineering , specializing in hyperspectral imaging and its applications across medicine, food safety, and engineering. Her research, supported by prestigious European Research Council (ERC) funding, investigates water molecule interactions with surfaces to improve bone graft materials and develop innovative diagnostic tools for prostate cancer. She also leads Science Foundation Ireland (SFI)-funded projects on hyperspectral monitoring of bacterial growth for food safety. Beyond technical research, Professor Gowen has developed computational tools now integrated into commercial chemical analysis software. Her work spans interdisciplinary domains, including sustainable transport policy, critical thinking education, and promoting gender diversity in engineering. As a key figure in the Women on Walls initiative, she has enhanced visibility for women in STEM fields. Her recent publications focus on spectral technologies for food quality, microplastics characterization, and medical diagnostics, reflecting her commitment to addressing global challenges in health and sustainability. Scientific Awards: ERC Grant for water-surface interaction research Professor Gowen actively collaborates with European networks and industry partners, driving advancements in hyperspectral imaging applications. Her lab’s efforts to bridge computational science with real-world chemical analysis have positioned her as a pioneer in invisible chemistry visualization, impacting medicine, food, and environmental engineering.

Harmen Oppewalمشاهده پروفایل

استاد

• Consumer Behaviour
• Retail Marketing
• Choice Models
• +۹ مورد دیگر

Harmen Oppewal is a Professor of Marketing at Monash Business School, Monash University. He holds a PhD from Eindhoven University of Technology and degrees in geography and social psychology from the University of Groningen. His research focuses on consumer behavior in retail, tourism, and urban planning contexts, employing experimental, modeling, and interpretative methods. He has served as Head of the Marketing Department (2012–2018) and is actively involved with the Monash Business Behavioural Lab since 2010. Education : PhD, Urban Planning, Eindhoven University of Technology Master's/Master of Science in Geography and Social Psychology, University of Groningen Research Interests : Consumer behavior, choice modeling, experimental research, retail marketing, tourism, pricing strategies, and visual attention. His work contributes to SDGs related to sustainable cities and communities (SDG 11) and responsible consumption (SDG 12). Recent Articles : Focus on scarcity tactics' impact on consumer decisions, spatial choice modeling, and the integration of VR/eye-tracking in retail research. Key areas include brand perception, tourist behavior, and pricing dynamics. Awards : ANZMAC Distinguished Researcher of the Year (2008) Fellow of ANZMAC (2013) Journal of Retailing Outstanding Reviewer Award (2020) Grants & Supervision : Secured funding from ARC, EU, and industry partners. Supervised over 20 PhD completions. Active on editorial boards of Journal of Retailing , European Journal of Marketing , and Journal of Travel Research . Collaborations : Global partnerships in tourism, urban planning, and consumer behavior research, with projects funded by UK's Advanced Institute of Management and Sustainable Tourism CRC.

Elliot Tucker-Drobمشاهده پروفایل

استاد

• Individual Differences
• Behavioral Genetics
• Psychiatric Genetics
• +۵ مورد دیگر

Elliot Tucker-Drob is a Professor in the Department of Psychology at the University of Texas at Austin, affiliated with the College of Liberal Arts and the Population Research Center. He holds a Ph.D. from the University of Virginia. His research focuses on individual differences in psychological development, particularly genetic and environmental influences on cognition, personality, and academic achievement. Key areas include behavioral and psychiatric genetics, cognitive aging, and social inequality's impact on development. Teaches Individual Differences (PSY 345) regularly since 2020. Directs the Lifespan Development Lab and leads the Texas Twin Project. His work explores how genes and experiences interact across the lifespan, with recent studies examining polygenic risk scores, epigenetic markers, and structural brain connectivity. He emphasizes translating genomic findings into understanding disparities in education and mental health. Publications highlight themes like genetic contributions to educational attainment, psychiatric disorder correlations, and developmental trajectories. He collaborates internationally, leveraging large datasets for multivariate genomic analyses.