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Johannes BohnView profile

Researcher

• Attachment Theory
• Structural Equation Modeling
• Online Therapy Interventions
• +4 more

Dr. Johannes Bohn serves as a Research Associate & Internship Coordinator at Freie Universität Berlin's Department of Clinical-Psychological Intervention within the Department of Education and Psychology. He completed his PhD in 2021 with research on attachment patterns in emerging adulthood and currently coordinates practical training components for the Master's program in Psychology with a focus on Clinical Psychology and Psychotherapy. His educational background includes: PhD (2021) from Freie Universität Berlin: 'On the Consistency and Specificity of Patterns of Attachment in Emerging Adulthood' Master of Science in Work, Organizational, and Economic Psychology (2011-2014) from Freie Universität Berlin Bachelor of Science in Psychology (2007-2010) and Bachelor in Philosophy and History (2010-2011) from Freie Universität Berlin Bohn's research primarily focuses on attachment theory in emerging adulthood, structural equation modeling for multitrait-multimethod data analysis, online therapy interventions for depression, and defense mechanisms in personality psychology. His methodological expertise bridges clinical applications with advanced statistical techniques, particularly in longitudinal and multimethod assessment approaches. He has contributed significantly to understanding how attachment patterns develop and stabilize during the transition to adulthood. His publication record shows a clear trajectory from methodological development to clinical application, with recent work emphasizing digital mental health interventions. The majority of his research examines psychopathology through sophisticated statistical models while maintaining strong clinical relevance, particularly in depression treatment and attachment research. His work often involves interdisciplinary collaboration across psychology subfields. Bohn actively contributes to university governance as a deputy member of the Quality Assurance Board for Teaching and Learning (since 2021) and the Departmental Council (since 2020). He has previously served on committees focused on curriculum development for psychology programs at both bachelor's and master's levels. As an educator, he has taught numerous courses since 2013, with recent focus on structural equation modeling, clinical psychology, psychotherapy with children and adolescents, and legal frameworks of psychotherapy. His teaching combines theoretical foundations with practical research applications, reflecting his dual expertise in methodology and clinical practice.

Marilou CôtéView profile

Assistant Professor

• Weight-related stigma
• Body image
• Eating disorders
• +4 more

Dr. Marilou Côté serves as an Assistant Professor in the Department of Foundations and Practices in Education within the Faculty of Education at Université Laval. She maintains dual research affiliations as a regular researcher at both the NUTRISS Centre and the Centre of Expertise on Weight, Image and Nutrition (CEPIA) at the Institute of Nutrition and Functional Foods, while also being a regular member of the Cardiometabolic Health, Diabetes and Obesity Research Network (CMDO). Postdoctoral Fellowship in Kinesiology, Concordia University (2024) Doctorate in Psychology (Ph.D.) Research and Intervention (Clinical Orientation), Laval University (2017) Bachelor of Psychology, Laval University (2010) Dr. Côté's research program centers on weight-related stigma, body image, eating disorders, and obesity, with particular emphasis on how weight stigma manifests in romantic relationships and its psychological consequences. Her work integrates clinical psychology perspectives with academic research, examining both individual and relational factors affecting eating behaviors. She employs diverse methodologies including longitudinal analyses, dyadic assessments, and validation studies of psychological instruments. Analysis of Dr. Côté's recent publications (2024-2018) reveals consistent focus on weight stigma mechanisms across populations (adolescents, athletes, general public), body image in romantic relationships, and eating disorder etiology. Her work increasingly incorporates longitudinal designs and cross-cultural perspectives, with recent publications addressing muscle dysmorphia, post-bariatric surgery outcomes, and weight bias in specific populations like figure skaters. Active SSHRC-funded International Weight Bias Summit project (2024) Ongoing research through NUTRISS Centre and CEPIA affiliations Dr. Côté currently supervises graduate students in psychoeducation (Master's with thesis and Doctoral programs) at Université Laval. Her research program benefits from institutional support through multiple research networks and recent grant funding. She regularly presents findings at national and international conferences including the Canadian Obesity Summit and International Conference on Eating Disorders. Her research activities are supported through affiliations with the NUTRISS Centre and CEPIA at Université Laval's Institute of Nutrition and Functional Foods, providing access to interdisciplinary resources and clinical populations relevant to weight, nutrition, and body image research.

Iris K. SchneiderView profile

Professor

• Social Psychology
• Decision-Making
• Trust
• +3 more

Dr. Iris K. Schneider is a Professor of Social Psychology at TUD Dresden University of Technology with a joint affiliation at the University of Cologne's Center for Social and Economic Behavior. She leads a research group investigating the psychological dynamics of ambivalence and conflict in social decision-making contexts. Her work bridges organizational behavior, trust, creativity, and cognitive bias. Dr. Schneider's research examines: How ambivalence shapes interpersonal trust and social judgments Cognitive and behavioral consequences of evaluative conflict Neuroscientific correlates of decision-making under attitudinal tension Applications in organizational leadership and relationship dynamics Her methodological innovations include mouse-tracking paradigms to capture implicit cognitive conflict during evaluative tasks. Analysis of her recent publications shows strong emphasis on: Romantic relationships and emotional ambivalence (2024-2025) Leadership communication in organizational settings (2024) Measurement refinement for attitudinal conflict (2023-2024) Cross-cultural validation of ambivalence effects She currently directs a DFG-funded project on political ambivalence and trust perceptions. As co-founder of the Ambivalence Research Collective, she fosters global interdisciplinary collaborations advancing this field.

Richard D GonzalezView profile

Professor

• Judgment and Decision Making
• Mathematical Modeling
• Statistical Analysis
• +4 more

Richard D Gonzalez serves as the Amos N Tversky Collegiate Professor of Psychology and Statistics at the University of Michigan, holding dual appointments in the Department of Psychology and Department of Statistics within the College of Literature, Science, and the Arts. He concurrently holds the position of Research Professor and serves as Center Director of the Research Center for Group Dynamics at the Institute for Social Research, where he leads interdisciplinary research initiatives. His research program integrates mathematical modeling with empirical investigation across judgment and decision-making processes. Core expertise includes formal models of decision-making under risk and uncertainty, with direct applications in eyewitness identification, medical diagnostics, consumer behavior, and sustainability science. He pioneers statistical methodologies for dyadic data analysis and develops computational tools for group process modeling, significantly contributing to health psychology and gerontological research through collaborations with medical institutions. Recent publications demonstrate methodological innovation across computer science, neuroscience, and public health domains. His team develops AI-driven diagnostic tools like vision transformers for dementia classification and interactive visualization systems for caregiving dynamics. Research consistently addresses health disparities, aging populations, and crisis response systems, with strong emphasis on racial equity in stress physiology and pandemic-era healthcare adaptations. Gonzalez directs the Biosocial Methods Collaborative, fostering cross-disciplinary methodological development, and leads the Research Center for Group Dynamics which supports large-scale studies on social dynamics. His center serves as a hub for longitudinal research on marital relationships, family caregiving systems, and community resilience during public health emergencies, with direct policy implications for healthcare infrastructure.

• Close Relationships
• Prosocial Behavior
• Social Cognition
• +4 more

Amie M Gordon is an Associate Professor of Psychology in the College of Literature, Science, and the Arts at the University of Michigan and a Faculty Associate at the Research Center for Group Dynamics, Institute for Social Research. Her research program centers on social cognitive, affective, and biological factors shaping close relationships, with emphasis on prosocial processes (perspective-taking, gratitude, responsiveness) and their modulation by internal states (sleep deprivation, illness) and external stressors (time pressure, work stress). She uniquely investigates bidirectional psychological, behavioral, and physiological influences between partners and dyadic outcomes emerging from relational interactions. Recent publications (2024-2017) demonstrate consistent focus on self-transcendent emotions (compassion, gratitude, awe) in relationship contexts, physiological stress responses in intimate bonds, and methodological innovation through large-scale daily assessments. Key trends include cross-cultural examination of awe, pandemic impacts on relationship satisfaction, and the interplay between biological dysregulation and prosocial behavior. No scientific awards are mentioned in the available text. No specific information about grants or student advising is provided in the available text. Dr. Gordon leads a research laboratory dedicated to uncovering how unseen biological and environmental forces shape relational dynamics, with particular attention to how partners co-regulate emotions and physiological states through prosocial interactions.

• Dyadic Relationships
• Perinatal Loss
• Caring Theory
• +3 more

Mary McDonough serves as a Visiting Assistant Professor in the Nursing Department at Framingham State University while maintaining active clinical practice as a labor and delivery nurse. Her dual expertise bridges academic instruction with frontline patient care. Research interests focus on: Dyadic relationship dynamics in perinatal contexts Family coping mechanisms after perinatal loss Operationalizing Watson's Caring Theory in clinical practice Evidence-based interventions for postpartum mood disorders Culturally competent family-centered nursing models Dr. McDonough teaches the Family Focused Nursing course using simulation-based pedagogy, emphasizing therapeutic communication and trauma-informed care. She prepares students to provide holistic support during reproductive health crises through structured clinical experiences that build emotional resilience and clinical competence in high-stakes perinatal scenarios.

• Statistics
• Longitudinal Data Analysis
• Latent Variable Methods
• +8 more

Susan Sereika is a Professor in the Department of Health and Community Systems at the University of Pittsburgh School of Nursing, with secondary appointments in the Department of Biostatistics and Health Data Science and the Department of Epidemiology in the School of Public Health. She serves as Associate Dean for Computing and Information Technology in the School of Nursing, overseeing computing capabilities and acting as liaison with Health Sciences Information Technology. Her educational background and specific degrees are not explicitly stated in the provided text, but her extensive experience is evident through her 35+ years working in statistical analysis of health data. Dr. Sereika's research focuses on advanced statistical methodologies for health sciences, particularly longitudinal data analysis for intensive monitoring data from electronic event and lifestyle monitoring systems (Aardex MEMS, Fitbit, actigraphy), latent variable methods including latent class models, group-based trajectory analysis, model assessment, and dyadic analysis. Her collaborative research spans weight loss interventions, self-management of lifestyle behaviors, symptom management, and regimen adherence across various chronic conditions. Her publication record shows consistent scholarly output since the 1980s, with particular emphasis in the 2010s and 2020s on applications of statistical methods to chronic disease management, particularly in diabetes, cancer, cardiovascular conditions, and transplantation medicine. Her work demonstrates a strong translational focus, bridging sophisticated statistical methodology with practical clinical applications. As an educator, Dr. Sereika teaches NUR 3290: Advanced Quantitative Methods Seminar at the PhD level and offers tailored independent studies. She serves as statistical mentor for theses and dissertations and provides guidance on statistical aspects of research proposals. Professionally, she is active in statistical organizations (ASA, ENAR) and disease-focused societies (AHA, ADA, ISPAD), serving as statistical reviewer for journals, ad hoc study section reviewer for NIH applications, and statistical editor for several journals.

• Nursing Education
• Medication Administration
• Self-Regulated Learning
• +4 more

Susan Irvine is an Associate Professor at Victoria University's First Year College, where she specializes in nursing education and curriculum development for health professionals. With extensive experience spanning both academic and clinical settings, she makes significant contributions to the education of undergraduate and postgraduate health professionals. Her educational background includes: PhD from Monash University Graduate Certificate in Health Professional Education from Monash University Master of Nursing (Research) from Australian Catholic University Postgraduate Diploma in Palliative Care from Australian Catholic University Nursing qualifications including RN, RM Cardio Thoracic Certificate, and Nursing Administration Diploma from Newcastle University Dr. Irvine's research focuses on educational methodologies in nursing, particularly examining student preparedness for clinical practice, medication administration competency, and self-regulated learning strategies. Her work bridges theoretical knowledge with practical healthcare application, emphasizing improved student outcomes and patient safety. She has developed expertise in innovative teaching approaches, including the implementation of block model teaching in nursing education. Her recent publication record demonstrates a strong focus on medication administration preparedness, educational assessment tools, and the impact of teaching innovations on nursing practice. Her work often employs mixed methods approaches to evaluate educational interventions and their real-world clinical implications, with increasing attention to pandemic-related challenges in healthcare education. Dr. Irvine serves as a joint supervisor for research students working on projects related to clinical graduates' resilience and motivational interviewing in breast cancer survivors. She has secured competitive funding from the National League of Nursing for her research on clinical decision making of undergraduate nursing students in medication administration (2024-2026). With previous academic appointments at Monash University, Deakin University, La Trobe University, and Ballarat University, Dr. Irvine brings diverse institutional perspectives to her current role. Her clinical background includes leadership positions in Oncology, Palliative Care, and Aged Care, which enriches her practical approach to nursing education and curriculum development.