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Allan McRaeView profile

Associate Professor

• Systems Genomics
• Genetic Epidemiology
• Epigenetics
• +3 more

Associate Professor Allan McRae is a Group Leader in Systems Genomics at the University of Queensland's Institute for Molecular Bioscience (IMB). His research focuses on understanding biological mechanisms of human variation using integrated omics data, particularly investigating genomic regulation and its effects on complex traits. He leads a team of researchers and students, including PhD candidates and visiting scholars, exploring areas like epigenetics, neurodegenerative diseases, and metabolic disorders. McRae's work spans genetic epidemiology, leveraging large-scale genomic and epigenetic datasets to identify biomarkers and risk factors for conditions such as Alzheimer’s, ALS, and endometriosis. His team employs machine learning, GWAS, and advanced statistical methods to analyze complex biological systems. Notable collaborations include studies across Europe, Australia, and the UK, focusing on longitudinal health data and predictive modeling. His research has led to breakthroughs in understanding sex-specific epigenetic differences, CNV impacts on neurodevelopmental disorders, and metabolic pathways in liver function. McRae actively contributes to interdisciplinary initiatives at IMB, including the Population and Disease Genomics Research Centre. He mentors a diverse group of students and postdoctoral researchers, emphasizing training in computational biology and translational genomics. McRae’s publications highlight innovative approaches to integrating multi-omics data, including methylation risk scoring, inflammatory biomarker prediction, and epigenetic clock analysis. His work underscores the importance of systems-level thinking in addressing multifactorial diseases, bridging basic science with clinical applications.

Cecelia ValrieView profile

Associate Professor

• Health Psychology
• Developmental Psychology
• Sickle Cell Disease
• +5 more

Dr. Cecelia Valrie is an Associate Professor in the Department of Psychology at Virginia Commonwealth University (VCU), where she directs the Health and Development Lab. Her work bridges health psychology and developmental theories to study pain, sleep, and health outcomes in individuals with sickle cell disease (SCD) and youth populations. Education: Ph.D. in Developmental Psychology, University of North Carolina at Chapel Hill M.A. in Developmental Psychology, University of North Carolina at Chapel Hill B.A. in Psychology and Mathematics, East Carolina University Her research employs mixed methodologies, including surveys, interviews, and mobile health (mHealth) technologies like ecological momentary assessment and sleep actigraphy. Current projects focus on predicting SCD pain episodes using mathematical models derived from mHealth data, aiming to reduce healthcare burden and improve quality of life. Key publications highlight her work on pain-sleep interactions, intraindividual pain variability, and intervention dissemination. Recent NIH HEAL Initiative funding underscores her interdisciplinary impact in pediatric pain management. Scientific Awards: NIH HEAL Initiative Award for Interdisciplinary Collaboration (2024) Outstanding Community Engagement Award (2023)

• Sleep Medicine
• Cognitive Behavioral Therapy
• Substance Use Disorders
• +5 more

Allison Kay Wilkerson is an Associate Professor in the Sleep, Mood, and Anxiety Research and Treatment (SMART) Division within the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC). As a licensed clinical psychologist and Diplomate in Behavioral Sleep Medicine (DBSM), her work bridges clinical practice and technology-driven interventions. Education: Bachelor of Science in Psychology, Texas A&M University Master of Education in Counseling Education, University of North Texas Doctor of Philosophy in Clinical Psychology, University of North Texas Dr. Wilkerson’s research focuses on leveraging technology to disseminate evidence-based interventions for sleep and mental health, particularly cognitive behavioral therapy (CBT) for insomnia and nightmares. Her work targets populations with substance use disorders, PTSD, maternal depression, and chronic pain, emphasizing scalable solutions like mHealth apps and web-based training platforms. Recent publications highlight her leadership in developing and evaluating digital tools such as CBTIweb and CBTNightmares.org, integrating virtual standardized patients for training, and exploring sleep-pain interactions in opioid use disorder. These studies align with her goal to improve clinical outcomes through accessible, technology-enhanced therapies.

• Physical Activity Promotion
• Sedentary Behavior Interventions
• Obesity Prevention
• +7 more

Greet Cardon is a Professor in the Department of Public Health and Primary Care at Ghent University's Faculty of Medicine and Health Sciences. With over 250 publications and extensive collaboration with researchers across Europe, Cardon leads significant research in physical activity, sedentary behavior, and obesity prevention across the lifespan. Key institutional affiliations include leadership roles in major European projects including Feel4Diabetes, ToyBox, Health CASCADE, and DE-PASS. Cardon's research focuses on developing and evaluating public health interventions targeting physical activity promotion and sedentary behavior reduction across different age groups. Major research streams include family-based interventions for diabetes prevention, co-creation methodologies for health intervention development, and movement behavior epidemiology. The work spans children, adolescents, adults, and older adults, with particular emphasis on implementation science and real-world intervention effectiveness. Analysis of recent publications reveals strong emphasis on digital health interventions, ecological momentary assessment methods, and co-creation approaches to intervention design. Key thematic areas include intergenerational physical activity programs, sedentary behavior reduction in older adults, school-based obesity prevention, and the development of implementation frameworks for public health interventions. Cardon has supervised numerous PhD students including Janneke de Boer, Iris Maes, and Laura Maenhout, and maintains extensive collaborations with researchers across Europe, particularly with Ilse De Bourdeaudhuij (270 co-publications), Marieke De Craemer, and Delfien Van Dyck. Current research includes the 'Take a Walk with Your Brain' program for cognitive health in older adults and the 'Ages Get Active' intergenerational intervention.

David M. AlmeidaView profile

Professor

• Daily Stress Processes
• Adult Development
• Family Factors in Mental Health
• +5 more

David M. Almeida is a Professor in Human Development and Family Studies at The Pennsylvania State University, specializing in life-span developmental psychology with a focus on stress and coping during middle adulthood. His work bridges biological and self-reported stress indicators to explore their impact on health outcomes. Primary research areas: Daily Stress Processes, Adult Development, Family Factors in Mental Health, Work-Family Linkages, Biological Markers of Health. Funding sources: Continuous NIH support since 1996, German Research Council, Sloan Foundation, W.T. Grant Foundation, MacArthur Foundation. Current projects: Principal Investigator of the National Study of Daily Experiences (NSDE), Workplace Practices and Daily Family Well-Being Project, and Co-PI for the QUINCE Project under Science of Behavior Change. His research emphasizes that daily stressors are stronger predictors of health outcomes than major life events, leading to the development of the Daily Inventory of Stressful Experiences (DISE) tool. He has received multiple awards for teaching and research excellence. Recent publications highlight connections between daily stress, inflammation, affective reactivity, and work-family dynamics. His methodological expertise includes intensive longitudinal designs and cortisol biomarker analysis. 2010 Evan G. and Helen G. Pattishall Outstanding Research Achievement Award 1999 Teaching Award of Merit, University of Arizona 1996 Outstanding Alumni Award, California State University, Northridge 1994 MacArthur Foundation Research Network Affiliate Almeida mentors graduate students and leads multidisciplinary teams in large-scale studies like MIDUS, Work, Family, Health Study, and Science of Behavior Change. His lab employs nightly interviews and momentary cortisol assessments to track daily stress trajectories.

Matthew RobisonView profile

Assistant Professor

• Cognitive Psychology
• Neuroscience
• Attention
• +3 more

Matthew Robison is an Assistant Professor at the University of Notre Dame, affiliated with the Controlled Attention and Memory (CAM) Lab. His primary research area focuses on Cognition, Brain, and Behavior. He investigates attention control, memory mechanisms, and their interactions using behavioral experiments, eye-tracking, EEG, and statistical modeling techniques like factor analysis and structural equation modeling. Dr. Robison holds a Ph.D. from the University of Oregon (2018) and completed a post-doctoral fellowship at Arizona State University (2018–2020). His work emphasizes individual differences in cognitive abilities, including studies on working memory capacity, attention lapses, and the role of arousal systems like the LC-NE network. Research interests span cognitive neuroscience, psychophysiology, and applied interventions to enhance sustained attention through goal-setting, feedback, and reward systems. His studies often integrate biometric measures (pupil diameter, EEG) to track real-time cognitive states and performance fluctuations. Recent work explores transcranial stimulation effects on attention, age-related memory declines, and the neurocognitive underpinnings of mind-wandering. He collaborates on projects involving machine learning analyses of cognitive task data and biometric identification using EEG signals. No specific grants or advising details are explicitly stated in the provided text, though his lab's focus suggests active research collaborations in cognitive science and neuroscience domains.

• Chronic Pain Management
• Opioid Use Disorder
• Substance Use Disorders
• +3 more

Danielle Wesolowicz, PhD, is an Associate Research Scientist in Psychiatry at the Yale School of Medicine, affiliated with the Pain Research, Informatics, Multi-morbidities and Education (PRIME) Center at VA Connecticut Healthcare System. Her work focuses on improving interdisciplinary pain care and implementing evidence-based practices for chronic pain, opioid use, and broader substance use challenges. She holds a PhD in Clinical Psychology from the University of Florida and completed advanced training at VA Connecticut Healthcare System. Her research spans telehealth innovations, opioid tapering strategies, and buprenorphine access improvements for chronic pain patients. Notable collaborations include work with Sara Edmond and Brent Moore. Recent projects include feasibility studies on video-telecare pain management and protocol development for home-based pain care programs. Publications highlight patient perspectives on opioid transition, digital health interventions, and pain variability analysis. While no formal awards are listed, her contributions reflect impactful translational research in pain and addiction domains. She advises no listed students but collaborates extensively with clinical teams to advance healthcare implementation science.

• Aging
• Cardiovascular Health
• Chronic Disease
• +7 more

Rachel Koffer is an Assistant Professor at Arizona State University's Edson College of Nursing and Health Innovation. Her research focuses on linking stress to health outcomes across adulthood, utilizing innovative methodologies like intraindividual variability and big data analysis. She has affiliations with Edson College's Doctor of Nursing Practice program and serves as research faculty. Dr. Koffer's academic training includes a PhD from The Pennsylvania State University, with specialized support from the National Science Foundation's Big Data Social Science IGERT and NIA Pathways to Successful Aging T32. Her postdoctoral work was funded by the NHLBI Cardiovascular Behavioral Medicine T32 at University of Pittsburgh. Research keywords: Aging, Cardiovascular, Stress, Data Analytics, Population Health, Quantitative Psychology Methodological focus: Intraindividual Variability, Stressor Diversity, Mixed Models, Wearable Technology Population focus: Diverse populations, Women's Health, Midlife Adults, Older Adults Recent publication trends show consistent exploration of stressor diversity (2016-2024), inflammation responses (2018-2023), and aging-related behavioral patterns. Her 2024 work on experiential diversity theory and 2023 studies on pandemic impacts represent cutting-edge contributions.

Martin J. SliwinskiView profile

Professor

• Cognitive Aging
• Geroscience
• Stress and Cognition
• +5 more

Martin J. Sliwinski is a Professor of Human Development and Family Studies at Pennsylvania State University and serves as Director of both the Center for Healthy Aging and the Social Science Research Institute’s Geroscience and Dementia Prevention Consortium. His research focuses on dynamic phenotyping of daily experiences and cognitive function across multiple time scales. Department: Human Development and Family Studies Key Research Areas: Cognitive Aging, Ecological Momentary Assessment (EMA), Digital Biomarkers, Social Interactions Sliwinski embeds ambulatory cognitive assessments into EMA and daily diary designs to capture real-time data on stress, social activity, and cognitive performance. His work bridges psychosocial factors with biological markers like inflammation and epigenetic aging. Email: mjs56@psu.edu | Office: 402 BBH Building | Phone: 814-863-9980

Pascal KilianView profile

Researcher

• Machine Learning
• Psychometrics
• Educational Research
• +7 more

Pascal Kilian is a postdoctoral researcher at the Methods Center within the Faculty of Economics and Social Sciences at the University of Tübingen. His work lies at the intersection of machine learning, psychometrics, and social sciences, with applications in education and sports analytics. PhD in Mathematics, University of Tübingen (2018) BSc/MSc in Mathematics and Physics, University of Tübingen (2007–2012) His research focuses on modeling human behavior through advanced statistical and machine learning techniques. Key areas include latent variable models , variational autoencoders , mixed-effects machine learning , and longitudinal data analysis . He applies these methods to problems such as predicting student dropout in mathematics and identifying talent in youth soccer. The recent publications reflect a strong trend toward integrating deep learning with psychometric theory , particularly in modeling multidimensional performance data. His work increasingly bridges artificial intelligence and behavioral science , with emphasis on non-linear dynamic models and individualized forecasting . He has received recognition for his doctoral work: Doctoral Award for Excellent PhD Thesis, University of Tübingen (Tübingen School of Education) Kilian has been involved in externally funded research projects, including those supported by the Federal Ministry of Education and Research (BMBF) and the Deutsche Telekom Stiftung . While no formal advisees are listed, he collaborates closely with senior researchers such as Prof. Augustin Kelava and Dr. Judith Glaesser. He contributes to the development of the mixedML framework and supports the DFB's Talent Identification and Development (TID) program through scientific analytics. He is affiliated with the Methods Center at the University of Tübingen, a hub for interdisciplinary methodological innovation in the social sciences, where he contributes to both applied research and method development in machine learning and psychometrics.

Knut Eiliv Ødegård ØverbyeView profile

Researcher

• Cognitive Psychology
• Cognitive Neuroscience
• Developmental Cognitive Neuroscience
• +12 more

Knut Eiliv Ødegård Øverbye is a researcher at the Department of Psychology, Faculty of Social Sciences, University of Oslo. He is a member of the Centre for Lifespan Changes in Brain and Cognition (LCBC), where he contributes to longitudinal studies on brain and cognitive development from childhood to adulthood. His work is closely aligned with leading researchers including Professors Anders M. Fjell and Kristine B. Walhovd, and he collaborates on projects led by Christian K. Tamnes focused on adolescent neurocognitive maturation. Research Interests: His academic focus lies in understanding lifespan changes in brain structure and function, particularly during adolescence. Key areas include executive functions, error processing, cognitive conflict, and emotional regulation. He employs multimodal techniques such as structural and functional MRI, EEG, and virtual reality to investigate the neural underpinnings of cognitive development. Publication Trends: His research output over the past decade reveals a consistent and impactful trajectory in developmental cognitive neuroscience. Articles frequently explore the interplay between brain morphology (e.g., cortical thickness), electrophysiological markers (e.g., P300, ERN), and behavioral outcomes such as attention, prosocial behavior, and emotion regulation. The work is highly collaborative and published in top-tier journals including Nature Communications , eLife , and Developmental Cognitive Neuroscience . Scientific Contributions: While no formal awards are listed, his contributions to high-impact publications and major longitudinal projects underscore his significance in the field. He has co-authored studies examining fetal influences on brain development, genetic risk for Alzheimer’s, and the neural basis of learning from errors. Advising and Grants: Specific details about student supervision or grant leadership are not provided, but his involvement in large-scale projects like 'Set-to-change' suggests participation in funded research initiatives and likely mentorship within collaborative teams. Labs and Teams: He is an integral member of the LCBC research group, which conducts cutting-edge, interdisciplinary research on brain and cognition across the lifespan. This environment fosters collaboration across neuroimaging, genetics, and cognitive psychology, positioning him at the forefront of developmental neuroscience research.

Saida HeshmatiView profile

Assistant Professor

• Positive Relationships & Love
• Human Flourishing Across the Lifespan
• Longitudinal Analysis
• +4 more

Saida Heshmati is an Assistant Professor of Psychology in the Division of Behavioral & Organizational Sciences at Claremont Graduate University, specializing in positive developmental psychology. Her research examines how optimal development unfolds across the lifespan, particularly in at-risk populations, using cutting-edge methodologies including ecological momentary assessment, network analysis, and cultural consensus theory. Her research focuses on human flourishing across the lifespan , positive relationships and love , and longitudinal analysis of well-being. Heshmati employs innovative approaches such as experience sampling methods, observational analysis, and wearable physiology monitors to understand moment-to-moment well-being dynamics. Her work bridges developmental psychology, cross-cultural studies, and positive psychology to explore how cultural contexts shape love experiences and well-being outcomes. Recent publications reveal strong emphasis on love perception across cultures , daily well-being tracking , and methodological innovations in psychological assessment. Her 2025-2024 work shows growing focus on cross-cultural love studies, immigrant well-being, and dynamical systems approaches to psychological processes. International Positive Psychology Association (IPPA) 2023 Early Career Researcher Award John Templeton Foundation Grant #63364 (2024-2028): "Embracing Love Across Cultures: Decoding Cultural Beliefs on Love and Their Impact on Wellbeing" Heshmati directs the Well-Being & Developmental Methods Research Lab and leads a major 5-year cross-cultural study across six countries (India, Japan, Brazil, Saudi Arabia, Spain, Kenya) examining everyday love experiences. Her Templeton-funded project represents significant grant acquisition focused on transdisciplinary love research. She teaches courses including "Positive Relationships Across the Lifespan" and "Positive Education, The Science of Human Flourishing" while mentoring graduate researchers through her lab. The Well-Being & Developmental Methods Research Lab operates two major initiatives: the Cross-Cultural Love Project and the main lab focused on developmental methods. The lab employs experience sampling methods, day reconstruction techniques, and dynamical systems modeling to study well-being indicators across diverse populations. Current team includes graduate students, faculty collaborators, and undergraduate research assistants working on multi-country data collection and analysis.

• Cognitive Aging
• Longitudinal Data Analysis
• Structural Equation Modeling
• +6 more

Paolo Ghisletta is a Full Professor of Psychology at the University of Geneva's Faculty of Psychology and Educational Sciences. With a distinguished career spanning over two decades at the university, he has progressed from Assistant Professor to his current position as Full Professor since 2015. His academic journey includes significant research contributions in cognitive aging, methodological approaches to longitudinal data analysis, and the study of individual differences in cognitive development across the lifespan. Ph.D. in Quantitative Psychology and Methodology, University of Virginia (1999) MA in Quantitative Psychology and Methodology, University of Virginia (1996) BA Mathematics and BA Psychology, Clarion University, Pennsylvania (1994) Ghisletta specializes in methodologies for analyzing multivariate data in lifespan development research, with particular expertise in Structural Equation Models and Multilevel Models. His work examines cognitive aging in relation to health, activities, and sensory functioning, as well as the management of psychological resources in adults and the elderly. He has made significant contributions to understanding inter- and intra-individual variability over the lifespan, exploring how these variations relate to cognitive performance, health outcomes, and aging trajectories. An analysis of Ghisletta's recent publications (2022-2025) reveals a strong focus on cognitive aging, particularly examining memory systems, longitudinal changes, and the relationship between cognitive performance and health outcomes. His methodological expertise is evident in numerous papers on statistical approaches for analyzing longitudinal data. A recurring theme is the investigation of individual differences in cognitive aging trajectories and their predictors, including cognitive reserve, social factors, and genetic influences. His research often employs sophisticated statistical techniques to disentangle complex relationships between cognitive variables across time. Ghisletta maintains an active research program with numerous collaborations across international institutions, particularly within European aging research consortia. His work has significant implications for understanding normal cognitive aging processes and identifying factors that may contribute to healthy cognitive aging or vulnerability to decline.

• Cognitive Psychology
• Working Memory
• Attention Processes
• +5 more

Elizabeth Wiemers is an Assistant Professor in the Psychology Department at Bradley University's College of Liberal Arts & Sciences. Her research focuses on cognitive psychology with a particular emphasis on working memory, attentional control, and executive function. Her recent publications demonstrate expertise in areas like: Cognitive training mechanisms and transfer effects Proactive and reactive cognitive control dynamics Individual differences in attentional capacity Mind wandering and task engagement Neuropsychological assessment in clinical populations Cognitive load management in multitasking Contact: ewiemers@bradley.edu

• Quantitative Psychology
• Cognitive Aging
• Developmental Psychology
• +3 more

Paolo Ghisletta is a Full Professor at the Faculty of Psychology and Educational Sciences, University of Geneva, affiliated with the LIVES Centre. His research focuses on quantitative psychology, cognitive aging, and lifespan development. Ph.D. in Quantitative Psychology, University of Virginia (1999) MA in Quantitative Psychology, University of Virginia (1996) BA in Mathematics and Psychology, Clarion University (1994) His work centers on multivariate data analysis, structural equation modeling, and multilevel modeling applied to lifespan development. He investigates cognitive aging in relation to health, sensory functioning, and psychological resource management. Recent publications address longitudinal changes in prospective memory, methodological challenges in aging research, and statistical techniques for mixed-effects models. These studies often employ longitudinal designs and interdisciplinary approaches. He is based at the LIVES Centre (Boulevard du Pont d'Arve 40, Geneva) with office contact +41 (0)22 379 91 31.