جست‌وجوی استاد و پژوهشگر

Ariel Kalilمشاهده پروفایل

استاد

• Developmental Psychology
• Parenting Behavior
• Child Development
• +۳ مورد دیگر

Ariel Kalil is a Professor at the University of Chicago's Harris School of Public Policy, where she directs the Center for Human Potential and Public Policy and co-directs the Behavioral Insights and Parenting Lab. Her work bridges developmental psychology, behavioral economics, and public policy to address parenting behaviors, child development, and socioeconomic inequality through rigorous field experimentation. Professor Kalil's research centers on how economic conditions shape parenting practices and child outcomes, with particular focus on historical trends in income-based gaps in cognitive and non-cognitive development. She designs behavioral interventions to strengthen parental engagement in low-income families using insights from neuroscience and decision science, examining how poverty and inequality affect developmental trajectories. Her approach integrates longitudinal data analysis with randomized controlled trials to identify scalable solutions for reducing disparities. Her recent publications (2023-2025) reveal a concentrated effort on digital and behavioral tools to enhance parenting practices—particularly in literacy, math skill development, and school engagement for disadvantaged children. These studies consistently employ field experiments across diverse contexts to test low-cost interventions like informational nudges, identity priming, and digital libraries, demonstrating how small behavioral changes can yield significant developmental gains while addressing structural barriers. Scientific Awards: William T. Grant Foundation Faculty Scholars Award Changing Faces of America’s Children Young Scholars Award from the Foundation for Child Development National Academy of Education/Spencer Postdoctoral Fellowship Society for Research in Child Development (SRCD) Award for Early Research Contributions (2003) Professor Kalil's research is funded by the National Institutes of Health (NIH) and multiple private foundations, supporting her lab's development of evidence-based parenting interventions. Her work emphasizes translating behavioral insights into practical policy tools through partnerships with schools, community organizations, and government agencies, with particular attention to implementation fidelity and scalability in real-world settings. The Behavioral Insights and Parenting Lab, under her co-direction, operates as an interdisciplinary hub testing interventions in naturalistic environments—from digital libraries for shared reading to personalized teacher nudges. Current projects focus on leveraging behavioral economics to overcome attentional scarcity in low-income households, design effective parental engagement strategies, and measure long-term impacts of early childhood interventions on intergenerational mobility.

Mette Sørensenمشاهده پروفایل

دانشیار

• Genetic Epidemiology
• Aging Research
• Longevity Studies
• +۵ مورد دیگر

Mette Sørensen is an Associate Professor at the Institute for Health Services Research within the Faculty of Health Sciences at the University of Southern Denmark. She leads research in genetic epidemiology, aging, longevity and functional genomics. With a Master of Science and PhD, her academic career has focused on understanding the molecular mechanisms of aging through twin studies and multi-omics approaches. Her research interests center on genetic and epigenetic factors influencing aging processes, with specific expertise in DNA methylation, epigenetics, and twin study methodologies. Sørensen's work examines how genetic and molecular biological factors affect aging trajectories, longevity, and age-related diseases. She applies multi-omics approaches including epigenomics, proteomics, and metabolomics to identify biomarkers of aging and longevity. Dr. Sørensen's recent publications demonstrate a strong focus on epigenetic clocks, DNA methylation patterns in aging, cardiovascular health in relation to molecular markers, and the use of twin studies to disentangle genetic and environmental influences on aging. Her work spans from basic molecular mechanisms to clinical applications in gerontology. Her scientific achievements have been recognized with prestigious awards including the Manufacturer Vilhelm Pedersen and Wife's Memorial Grant from the Novo Nordisk Foundation and The Danish Council for Independent Research Postdoctoral Fellowship. As an active researcher, Sørensen serves as a peer reviewer for journals including Scientific Reports and Aging Cell, participates in major conferences like The Gerontological Society of America Annual Scientific Meeting, and contributes to significant research projects such as LLFS: Længe Leve - et Familiestudie (Long Life Study). She also engages with the public through media interviews about DNA methylation age, aging, and longevity research.

Gary McPhersonمشاهده پروفایل

استاد

• Music Education
• Music Psychology
• Performance Science
• +۳ مورد دیگر

Gary McPherson is the Ormond Professor of Music at the University of Melbourne's Melbourne Conservatorium of Music, Australia. A distinguished scholar in music education and psychology, he has held significant academic positions globally including the Marilyn Pflederer Zimmerman Endowed Chair at the University of Illinois and Professor of Creative Arts at the Hong Kong Institute of Education. His educational background includes: Undergraduate training in music education at the Sydney Conservatorium of Music Licentiate (L.T.C.L) and Fellowship (F.T.C.L.) in trumpet performance from Trinity College, London Master of Music Education at Indiana University Doctor of Philosophy at the University of Sydney Professor McPherson's research focuses on understanding how individuals develop musical skills, investigating the biological, cognitive and social processes involved in acquiring musical competencies. His work examines personal, environmental and developmental factors that affect musical development, ability, identity, and wellbeing. He is particularly known for his longitudinal studies tracking musicians' development over time and for establishing interdisciplinary connections across the university through the Music, Mind & Wellbeing initiative. His extensive publication record shows a clear trajectory toward understanding self-regulated learning in music, the psychology of musical performance, and gifted education in music. Recent work emphasizes interdisciplinary approaches, combining insights from psychology, education, and neuroscience to enhance music teaching and learning practices. Professor McPherson has received significant recognition for his contributions: Honorary Life Membership of the International Society for Music Education (ISME) Fellow of the Australian Society for Music Education (ASME) As an educator and mentor, Professor McPherson has supervised numerous doctoral students and early-career researchers. His editorial work includes serving on the boards of major research journals in music education and as Associate Editor for Psychology of Music, Research Studies in Music Education (which he helped establish in 1993), and the Journal of Interdisciplinary Music Studies. He has secured significant research funding for longitudinal studies on musical development and interdisciplinary wellbeing projects. Professor McPherson leads the Music, Mind & Wellbeing initiative at the University of Melbourne, fostering collaboration between music, psychology, and health sciences. His work connects researchers across disciplines to explore how music impacts human development and wellbeing, creating a vibrant research community focused on practical applications of music psychology research.

Paul von Hippelمشاهده پروفایل

استاد

• Education Policy
• Obesity Research
• Statistics
• +۳ مورد دیگر

Paul von Hippel serves as Associate Dean for Research and Professor of Public Affairs at the University of Texas at Austin, where he bridges education policy, public health, and advanced statistical methodology to address real-world challenges in educational equity and child health. Education: Ph.D. from Ohio State University His research focuses on the impact of school structures on childhood obesity, summer learning dynamics, and methodological innovations for missing data analysis. He critically examines conventional wisdom—such as universal summer learning loss—using quasi-experimental designs and longitudinal datasets to isolate causal effects of policies like year-round schooling. His work frequently challenges assumptions in educational research through rigorous statistical evaluation of seasonal patterns, pandemic disruptions, and obesity interventions. Recent publications reveal three dominant trends: (1) School calendar reforms as obesity prevention tools, analyzing how extended/structured school days affect weight outcomes; (2) Statistical methodological advances in imputation, effect size interpretation, and heterogeneity analysis; (3) Meta-research on peer review practices and scientific reproducibility. His Chilean obesity policy evaluations and pandemic learning loss studies highlight cross-national applicability. Scientific awards were not documented in the source material. As Associate Dean for Research, von Hippel oversees institutional research strategy, grant development support, and interdisciplinary collaboration frameworks. While specific grants weren't itemized, his leadership facilitates large-scale studies like Project STAR reanalyses and obesity policy evaluations. He mentors graduate students in quantitative methods, though no advisees were named in the provided text. He operates within university-wide research infrastructure rather than a dedicated lab, frequently collaborating with epidemiologists, education economists, and policy analysts on multi-institutional teams studying school-based health interventions and educational measurement.

Rainu Kaushalمشاهده پروفایل

استاد

• Pediatric Patient Safety
• Health Information Technology
• Value-Based Healthcare Delivery
• +۵ مورد دیگر

Rainu Kaushal, MD, MPH, is a distinguished academic leader at Weill Cornell Medical College , serving as the Senior Associate Dean of Clinical Research , Chair of Population Health Sciences , and Nanette Laitman Distinguished Professor . Her work focuses on pediatric patient safety , health information technology , and value-based healthcare delivery , with particular emphasis on interoperable systems and the economic value of EHRs. Physician-in-Chief of Population Health Sciences at NewYork-Presbyterian Hospital Principal Investigator of the INSIGHT Clinical Research Network Leader of RECOVER Program research on Long COVID Dr. Kaushal has pioneered the creation of the largest urban clinical database in the U.S. with 22 million patients, instrumental in national research efforts. Her studies on telemedicine effectiveness during the pandemic and mobile stroke units have reshaped healthcare delivery strategies. She serves on advisory boards for organizations including PCORI and National Institutes of Health . She has received numerous accolades including National Academy of Medicine membership and Crain's Notable Women in Healthcare recognition. Her research portfolio includes over 200 publications spanning EHR safety , telehealth disparities , and pediatric medication errors .

Sarah Hopkinsمشاهده پروفایل

دانشیار

• Mathematical Cognition
• Learning Difficulties
• Inclusive Education
• +۶ مورد دیگر

Sarah Hopkins is an Associate Professor in the Faculty of Education at Monash University , dedicated to reducing educational inequalities through interdisciplinary research in Mathematical Cognition and inclusive education. Her work integrates cognitive psychology and mathematics education to address learning difficulties, particularly among students from disadvantaged backgrounds and those with intellectual disability. Developed the Keyboard , a visual-spatial tool to enhance arithmetic strategy development Coordinated the Keep on Learning (KoL) Program for adults with intellectual disability Current ARC Discovery Project examines classroom applications of the Keyboard for lower primary students Research Interests span mathematical cognition, retrieval strategies, procedural flexibility, and inclusive pedagogy. Her projects often involve collaborations with the Spencer Foundation , ARC , and Ecstra Foundation , focusing on tool development, assessment design, and teacher training. Methodological Expertise includes Rasch analysis, microgenetic approaches, and mixed-methods research. She works with interdisciplinary teams to validate measurement scales and analyze longitudinal learning outcomes, particularly for marginalized groups.

Kristine Marceauمشاهده پروفایل

دانشیار

• Gene-Environment Interplay
• Prenatal Experiences
• Physiological Responses to Stress
• +۷ مورد دیگر

Kristine Marceau is an Associate Professor in the Department of Human Development and Family Science within Purdue University's College of Health and Human Sciences, holding courtesy appointments in Psychological Sciences. Her research integrates biological and environmental processes to understand developmental pathways of behavior problems and substance use across the lifespan, with emphasis on gene-environment interplay, prenatal programming, stress physiology, and pubertal development. Her academic credentials include a PhD (2013) and MS (2011) from The Pennsylvania State University and a BA (2006) from the University of Wisconsin-Madison. She employs advanced methodologies including multilevel modeling, longitudinal analysis, and genetically informed designs (twin, adoption, sibling discordant). Marceau's research program centers on how genetic, prenatal, neuroendocrine, and family factors interact to shape developmental trajectories. Key themes include prenatal stress effects on epigenetic markers, hormone-behavior associations during puberty, parenting dynamics in substance use initiation, and resilience mechanisms in family systems under stress. Her work bridges developmental psychology, behavioral genetics, and public health. Analysis of her 15 most recent publications (2024-2025) reveals consistent focus on prenatal programming of developmental outcomes using genetically sensitive designs. Major trends include epigenetic mechanisms linking maternal stress to child outcomes, discordant sibling analyses of prenatal exposures, pubertal timing as a risk factor for psychopathology, and community-based interventions for family resilience. Her methodological rigor in disentangling genetic and environmental contributions defines her scholarly impact. Her scientific recognition includes: Fuller and Scott Early Career Award (Behavior Genetics Association, 2021) Early Career Impact Award (FABBS for Behavior Genetics Association, 2021) Corps of Engagement Award for Families Tackling Tough Times Together (Purdue, 2021) Lorene Burkhart Award for Excellence in Research about Families (Purdue, 2020) APS Rising Star (Association for Psychological Science, 2016) As a University Faculty Scholar (2024-2029), Marceau leads significant NIH-funded research including an NIDA R21 on causal inference in adolescent substance use ($431,750) and a USDA/NIFA grant on post-disaster family resilience ($238,575). Her prior K01 award established her program on bio-behavioral developmental origins of substance abuse ($876,122), while her R01 co-investigator role secured $3.7M for adoption studies of early substance use. She mentors early-career researchers through R36 and F31 mechanisms. She directs the Biobehavioral Development Lab and co-directs Purdue's Methodology Center, advancing interdisciplinary research on developmental processes. Her Families Tackling Tough Times Together initiative demonstrates applied translation of research into community resilience programs.

• Neuroscience
• Neuroimaging
• Alzheimer's Disease
• +۷ مورد دیگر

Jace B. King is an Assistant Professor in the Department of Radiology & Imaging Sciences at the University of Utah School of Medicine . He holds multiple graduate degrees including a Ph.D. in Neuroscience , an M.B.A. from the David Eccles School of Business , and a B.S. in Psychology from the University of Utah. Ph.D. in Neuroscience - University of Utah School of Medicine M.B.A. - University of Utah David Eccles School of Business B.S. in Psychology - University of Utah Dr. King's research focuses on neuroimaging and brain connectivity across various conditions including Alzheimer's disease , autism spectrum disorder , and pediatric bipolar disorder . His work explores functional connectivity patterns , neuroanatomical differences , and biomarker correlations using advanced imaging techniques. Analysis of his publications reveals consistent work in Alzheimer's disease progression through motor task analysis and biomarker prediction (2021-2025), autism neuroconnectivity studies with longitudinal brain network assessments (2016-2024), and neurodevelopmental disorder research focusing on bipolar disorder and ADHD (2015-2023). His methodological approach combines fMRI , structural MRI , and electrophysiological analysis . Dr. King leads the Brain Network Lab , which conducts reproducibility studies for neuroimaging software and investigates functional connectivity patterns across multiple neurological conditions.

Rui Miaoمشاهده پروفایل

استادیار

• Reinforcement Learning
• Causal Inference
• Health AI
• +۳ مورد دیگر

Rui Miao serves as an Assistant Professor in the Department of Mathematical Sciences within the School of Natural Sciences and Mathematics at The University of Texas at Dallas. Previously, he worked as a Mathematical Statistician at the Office of Biostatistics Research at NIH/NHLBI and completed postdoctoral training under supervision of Dr. Annie Qu and Dr. Babak Shahbaba. His academic foundation includes a PhD in Statistics from The George Washington University under Dr. Xiaoke Zhang's mentorship. Education: PhD in Statistics, The George Washington University Dr. Miao's research program bridges advanced statistical methodology with critical healthcare applications. His work focuses on Reinforcement Learning for personalized treatment policies, Causal Inference methods addressing unmeasured confounding, Health AI applications, Functional Data Analysis techniques, and computational approaches to Few-shot Learning . His methodological innovations particularly address challenges in heterogeneous medical data and complex decision frameworks. Analyzing his publication trajectory reveals a strong emphasis on developing statistical frameworks for personalized medicine, with increasing interdisciplinary collaboration in cardiology, immunology, and neuroscience. His work spans theoretical statistics in journals like Annals of Statistics and Journal of the American Statistical Association to applied medical research in Science Advances and Journal of the American College of Cardiology . Scientific Recognition: 2021 ICSA Student Paper Award for work on wavelet-based independence testing Dr. Miao actively contributes to the academic community through invited talks at institutions including National Cancer Institute, Duke University, and NIH, presenting on reinforcement learning under heterogeneity and functional data analysis methods. His teaching portfolio at UT Dallas includes STAT 5304 Introduction to Human Health Research, building on previous teaching experience at The George Washington University covering statistical theory and applied courses.

Agatha Lenartowiczمشاهده پروفایل

دانشیار مدعو

• Neuroscience
• Psychiatry
• Cognitive Neuroscience
• +۷ مورد دیگر

Agatha Lenartowicz, Ph.D., is an Adjunct Associate Professor in the Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, University of California, Los Angeles. Her research focuses on the intersection of neuroscience , ADHD , and cognitive control , with a particular emphasis on brain oscillations , neuroimaging , and attentional processes . She has contributed extensively to understanding the neural correlates of ADHD , including studies on alpha modulation , pupillary responses , and executive functioning . Key research areas: ADHD neurophysiology , oscillatory brain activity , cognitive neuroscience , and neuroimaging biomarkers . Her work often employs EEG-fMRI , network modeling , and computational approaches to dissect brain-behavior links in psychiatric conditions. Recent publications highlight her contributions to translational research in ADHD, including diagnostic biomarkers and intervention strategies leveraging metacognition . She collaborates with leading institutions like the IMAGEN Consortium and Alzheimer’s Disease Neuroimaging Initiative (ADNI) , underscoring her interdisciplinary impact.

Tuhin Chakrabartyمشاهده پروفایل

استادیار

• Natural Language Processing
• Human-Computer Interaction
• Creativity
• +۶ مورد دیگر

Tuhin Chakrabarty is an Assistant Professor in the Department of Computer Science at Stony Brook University. His research focuses on developing AI systems that address implicature, ambiguity, and human-aligned requirements, with applications in natural language processing and human-AI collaboration. Education: Ph.D. in Computer Science from Columbia University Research Interests: Tuhin explores methods to enhance AI reliability through Long Form Text Generation Evaluation, Benchmarks for Reasoning and Explainability, and Human-AI Collaboration frameworks. His work bridges computational linguistics, machine learning, and creative applications of AI. Scientific Awards: Columbia Center of Artificial Intelligence & Technology (CAIT) Research Support Amazon Science Ph.D. Fellowship Computational Journalism Fellow at NYTimes R&D (2021-2022) Publications Trends: His recent work spans AI safety, creativity support, figurative language understanding, and multimodal systems. Key themes include human-AI alignment, ethical considerations, and empirical studies on generative models. Additional Contributions: Tuhin collaborates with Stony Brook’s Institute for AI-Driven Discovery and Innovation, advancing interdisciplinary research in AI applications.

• Process-based diagnostics of reading and language skills
• Eye movements in children and adults
• Cognitive deficits of weak readers
• +۷ مورد دیگر

Sascha Schroeder is a Professor of Educational Psychology at the Georg-August University of Göttingen since 2018, where he heads the Department of Educational Psychology. Previously, he led the Max Planck Research Group 'Reading Education and Development' (REaD) at the Max Planck Institute for Human Development in Berlin from 2012-2018, following research positions at the University of Kassel, Max Planck Institute, and University of Cologne. Dr. Schroeder's research focuses on language and text psychology, with emphasis on process-based diagnostics of reading and language skills, eye movements in children and adults, and cognitive deficits of weak readers. His work in educational psychology explores digitalization of teaching and learning contexts, serious gaming, and embedded assessment. Methodologically, he specializes in linear mixed-effect models, diffusion models, reaction time distributions, and cognitive modeling. Analysis of his recent publications reveals a strong focus on morphological processing, eye-tracking research in reading development, and cross-linguistic studies. His work spans both fundamental cognitive processes and applied educational interventions, with particular attention to developmental trajectories from childhood through adulthood. The research often employs sophisticated methodologies to examine how readers process language at multiple levels. Dr. Schroeder maintains an active research program with numerous collaborations, particularly with researchers such as Tiffin-Richards, Hasenäcker, Mousikou, and Grolig. His work bridges theoretical cognitive psychology with practical educational applications, contributing significantly to our understanding of reading development and language processing.

• Maternal Health
• Clinical Trials
• Miscarriage Prevention
• +۷ مورد دیگر

Professor Adam Devall is a distinguished academic at the University of Birmingham's College of Medical and Dental Sciences, holding the position of Professor of Maternal Health Clinical Trials and Metabolism and Systems Science. His research focuses on critical areas of maternal health, particularly miscarriage prevention, postpartum hemorrhage management, and maternal mortality reduction through rigorous clinical trials and evidence synthesis. Devall's research interests center on maternal health clinical trials, with specific expertise in miscarriage prevention using progestogens, management of postpartum hemorrhage, and maternal mortality reduction strategies. His work combines clinical practice with methodological rigor, particularly in systematic reviews and meta-analyses that inform global health guidelines. He has made significant contributions to understanding risk factors for postpartum complications and developing evidence-based interventions to improve maternal outcomes worldwide. His recent publications demonstrate a strong focus on high-impact maternal health issues, with numerous 2025 publications in top journals including The Lancet and American Journal of Obstetrics and Gynecology. These works examine sub-national variability in maternal mortality, causes of postpartum hemorrhage, and innovative interventions like the E-MOTIVE bundle for postpartum hemorrhage management. His research shows a clear trend toward implementation science and global health applications of maternal health interventions. European Journal of Human Genetics 2018 Professor Devall leads and collaborates on numerous significant research projects funded by major organizations including the Bill & Melinda Gates Foundation, NIHR, and Medical Research Council. His current projects include E-MASTER (diagnostic test accuracy for bleeding at cesarean section), long-term assessment of children from the PRISM trial, and the APT-Sepsis Programme for maternal sepsis prevention. These grants demonstrate his leadership in translating research into practical clinical applications that improve maternal health outcomes globally. As part of the Institute of Metabolism and Systems Research, Devall contributes to a multidisciplinary team focused on women's metabolic health across the lifespan. His work intersects with clinical services at Birmingham Women's Hospital, creating a strong bench-to-bedside research pipeline that directly impacts patient care through evidence-based practice.

Marco Temperiniمشاهده پروفایل

دانشیار

• Technology Enhanced Learning
• Student Modeling
• Teacher Modeling
• +۹ مورد دیگر

Marco Temperini is an Associate Professor of Information Processing Systems at Sapienza University of Rome, where he teaches programming techniques and web programming languages. With a Mathematics degree (1986) and Computer Science PhD (1992) from Sapienza University, he has established himself as a prominent researcher in educational technology. His educational background includes: Laurea in Matematica (1986, Sapienza University of Rome) Dottorato in Informatica (1992, Sapienza University of Rome) Professor Temperini's research focuses on Technology Enhanced Learning, with particular expertise in Student and Teacher Modeling, Adaptive e-learning systems, and the application of Data Mining and Artificial Intelligence techniques to personalize learning content. His work extends to Social and Collaborative Learning environments, Game Based Learning approaches, and innovative Automated and Peer Assessment methodologies. With extensive international collaboration experience, he has coordinated research units and served as work-package leader in numerous projects including EuroCompetence, UnderstandIT, and 9Conversations. His recent publications (2023-2024) reveal a strong trend toward applying advanced AI techniques, particularly large language models, to educational assessment challenges. These works demonstrate increasing sophistication in leveraging natural language processing for automated analysis of student work, concept maps, and programming assignments, while maintaining a strong focus on practical educational applications. Notable scientific recognition includes: 2023 Best Reviewer Award 2023 Best Paper Award 2022 Best Paper Award 2021 Best Paper Award 2018 Best Paper Award at ICWL2018 Membership on the Human-Computer Interaction Awards Committee (2021.6-2024.7) Professor Temperini has been highly active in the academic community, serving as Conference co-Chair for ICWL (2016), Technical Program co-Chair for multiple conferences including MIS4TEL and SETE, and General Chair for MIS4TEL2022 and SETE2023. He is a member of the Steering Committee for ICWL and MIS4TEL conferences and serves on the IEEE Technical Committee on Learning Technology. As an associate editor for the International Journal on Distance Education Technology, Frontiers in Artificial Intelligence, and Computers & Education: Artificial Intelligence, he plays a significant role in shaping research directions in educational technology. His leadership extends to numerous international projects where he has served as coordinator of research units and work-package leader, including EuroCompetence, Socrates Project 56544-CP-1-98-1; CIOC, NFU Project 18; mENU, e-learning Project 2002-0510/001-001; QUIS, e-learning Project 2004-3538/001-001; UnderstandIT, Leonardo Da Vinci Transfer of Innovation; and 9Conversations: Network building for self-employment of refugees. These projects demonstrate his commitment to applying technology to address real-world educational challenges across diverse contexts.

• Nutrition
• Dietetics
• Elderly Care
• +۴ مورد دیگر

Margaretha Nydahl serves as a Professor at Uppsala University's Department of Food Studies, Nutrition and Dietetics , focusing on nutritional science within elderly care contexts. Her research spans clinical dietetics, food safety, and health communication strategies specifically tailored for aging populations. Her primary research interests encompass elderly nutrition , malnutrition management , oral nutritional supplements , and food safety practices in geriatric care. Nydahl investigates how dietary interventions impact appetite regulation, meal satisfaction, and overall quality of life among older adults, with particular attention to sarcopenic obesity and vitamin D status. Her work bridges clinical practice with policy implementation, examining how national regulations translate to local elderly care settings. Analysis of her recent publications reveals a strong emphasis on qualitative methodologies exploring patient and dietitian perspectives, alongside quantitative studies measuring nutritional outcomes. Her research consistently addresses the practical implementation challenges of nutritional guidelines in real-world elderly care environments, with growing focus on the interplay between physical activity and nutritional status in aging populations. Nydahl maintains extensive collaborations with researchers including Liljeberg, Lövestam, and Andersson across multiple projects examining oral nutritional supplement adherence, malnutrition risk assessment, and foodservice reform in Swedish elderly care. Her work demonstrates leadership in translating nutritional science into clinical practice guidelines and policy recommendations.