جست‌وجوی استاد و پژوهشگر

• Cognitive Psychology
• Social Cognition
• Neuroscience
• +۷ مورد دیگر

Professor Heather Ferguson is a distinguished cognitive psychologist at the University of Kent's School of Psychology, where she has built an impressive academic career since her appointment as Lecturer in 2009. Promoted to Professor in 2018, she leads groundbreaking research examining the cognitive basis of social communication across the lifespan. Her work bridges cognitive psychology, neuroscience, and social cognition, with particular expertise in perspective-taking, theory of mind, and the interface between cognitive processes and social interaction. Her research primarily investigates how we access and represent other people's perspectives during communication, using methodologies including eye-tracking, EEG, and reaction time measurements. Key questions driving her work include: How do people understand and predict events based on others' mental states? What happens when these conflict with our own knowledge? How do social abilities relate to cognitive skills like memory and inhibitory control? How does aging affect social cognition? Her work has significant implications for understanding autism spectrum disorder, social development, and cognitive aging. Professor Ferguson's recent publications reveal a strong focus on perspective-taking across the lifespan, social cognition in autism, the cognitive effects of fiction reading, and the neural mechanisms underlying empathy. Her research demonstrates consistent methodological rigor through pre-registered studies and meta-analyses, with particular attention to developmental trajectories from adolescence through older adulthood. Psychonomic Society Early Career Award (2019) Open Science Framework Pre-registration Challenge award (2018) Cognitive Neuroscience Society Postdoctoral Fellow Award (2018) University of Kent Prize for Research (2016) Kent Union Teaching Award for 'Best Teacher' (2012) Professor Ferguson actively supervises multiple PhD students and has secured substantial research funding, including a €1.5 million ERC Starting Grant and multiple Leverhulme Trust grants. Her work with the Cognitive basis of Social Communication and Ageing (COGSOCOAGE) research group has produced influential findings on social cognition across the lifespan. She serves as Associate Editor for the Journal of Experimental Psychology: Learning, Memory & Cognition and on the editorial board of Cognition, while also mentoring early-career researchers through the Eastern Arc Mentoring Scheme.

Paweł Chmuraمشاهده پروفایل

استاد

• Exercise Physiology
• Sports Science
• Football Performance Analysis
• +۳ مورد دیگر

Professor Paweł Chmura is a Full Professor at Wrocław University of Health and Sport Sciences, specializing in Sports Sciences with a focus on football performance analysis. He serves in the Department of Individual and Team Sports, where he conducts research on exercise physiology, training load monitoring, and physical activity analysis in soccer players. With over 130 publications, Professor Chmura is a recognized expert in sports science and also holds a UEFA A coaching license. Professor Chmura's research interests center on exercise physiology, particularly in the context of team sports. His work extensively examines repeated maximum effort capabilities, physical activity analysis in soccer players, and monitoring training loads. He has developed innovative concepts such as the Psychomotor Fatigue Threshold and investigates how environmental factors like temperature and air quality affect athletic performance. His research bridges the gap between theoretical sports science and practical coaching applications, making significant contributions to football performance optimization. Professor Chmura's extensive publication record demonstrates a consistent focus on soccer performance analysis, with recent work expanding into multidisciplinary approaches including physiological, psychological, and tactical aspects of the game. His research shows increasing sophistication in methodology, incorporating advanced monitoring technologies and comprehensive analysis frameworks that consider multiple performance indicators simultaneously. This evolution reflects broader trends in sports science toward integrated, holistic approaches to athlete performance. Professor Chmura actively supervises the Motosoccer Student Research Club and invites master's and doctoral students to collaborate on research projects related to football, exercise physiology, game analysis, and motor preparation. His mentorship extends beyond formal academic supervision to practical coaching guidance, leveraging his UEFA A coaching certification to provide students with both theoretical knowledge and practical field experience. As a UEFA A-licensed football coach and tennis instructor, Professor Chmura maintains strong connections between academic research and practical sports applications. He leads the Motosoccer Student Research Club, which provides hands-on research opportunities for students interested in sports science. His dual expertise in academic research and practical coaching creates a unique environment for applied sports science research that directly impacts coaching methodologies and athlete development.

• Empirical Aesthetics
• Cognitive Psychology
• Neuroaesthetics
• +۴ مورد دیگر

Helmut Leder is a Professor at the University of Vienna, specifically within the Faculty of Psychology's Department of Cognition, Emotion, and Methods in Psychology. He serves as Head of the Vienna Cognitive Science Hub, integrating interdisciplinary approaches to study aesthetic experiences and cognitive processes. His academic profile includes teaching courses in General Psychology, Cognitive Psychology, and Neurosciences, alongside supervising master's and doctoral thesis seminars focused on perception and neuroaesthetics. Key Research Areas : Empirical Aesthetics, Cognitive Psychology, Visual Perception, Cross-Cultural Psychology, Urban Art Impact, Mental Imagery Studies Methodological Focus : Eye-tracking, Machine Learning Analysis, Cross-Cultural Comparisons, Field Experiments, Neuroimaging Recent Contributions : Investigated urban art's role in stress reduction, developed network models of aesthetic experiences, explored non-visual color navigation for the blind, and applied machine learning to art evaluation. His work bridges psychology with cultural studies, examining how aesthetic experiences shape well-being and cognitive processes. Current projects emphasize the neural and behavioral distinctions between real and imagined art encounters, while challenging traditional gender-based perception models.

• Digital Transformation
• Healthcare Informatics
• Platforms & Innovation
• +۵ مورد دیگر

Tan Chuan Hoo is an Associate Professor (tenured) and Deputy Head of the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. With a distinguished academic career spanning multiple continents, he brings expertise in digital transformation, healthcare informatics, and enterprise systems to his teaching and research. His educational background includes: B.Sc. (1st Class Honours, National University of Singapore) M.Sc. (Accelerated, National University of Singapore) Ph.D. (National University of Singapore) Professor Tan's research focuses on digital transformation, particularly designing, deploying, and evaluating technological innovations. His work centers on two critical areas: digital commerce (provision of digital services such as online shopping aids) and digital organization (ensuring operational efficiency and performance). His research has significant implications for healthcare institutions, corporations, and crisis preparedness and response organizations. He conducts comprehensive analyses using various scientific methodologies including field experiments and mixed methods to understand how digital technologies reshape business operations and enhance societal well-being. His publication record shows a consistent focus on information systems, with recent articles (2020-2025) emphasizing healthcare informatics, digital transformation, and open innovation. His work demonstrates a clear trajectory toward understanding how technology intersects with organizational effectiveness and societal implications, with increasing attention to healthcare applications and digital crisis management. Professor Tan has received numerous prestigious awards for his contributions to the field: Faculty Teaching Excellence Award, NUS (2024, 2017) Information Management Research Award, China Information Economics Society (2023) Reviewer Hall of Fame, Journal of AIS (2020) Outstanding Associate Editor Award, MIS Quarterly (2016) Best Reviewer Award, Journal of AIS (2016) INFORMS ISS Design Science Award (2013) Honorable Mention, Journal of AIS (2015) He has successfully advised PhD students and collaborated with public and private entities on research projects. His editorial service as Associate Editor for Information Systems Research and MIS Quarterly, along with board memberships at other leading journals, demonstrates his significant influence in the field. Professor Tan has secured research grants supporting projects on digital crisis preparedness, disaster response technology, and healthcare digitalization. His research group focuses on understanding how technology can be designed and implemented to support organizations in crisis situations, enhance healthcare services, and improve digital commerce. Current projects include examining digital crisis management, technology for disaster response, and the digital transformation of healthcare services.

Ying Xuمشاهده پروفایل

استادیار

• Early Education
• Evidence-Based Intervention
• Families and Community
• +۵ مورد دیگر

Ying Xu is an Assistant Professor at the Harvard Graduate School of Education (HGSE), specializing in the design of AI technologies to support children's language, literacy, STEM learning, and well-being. Her research emphasizes creating AI systems that act as interactive learning companions and language partners for children while fostering human-AI collaboration with educators and families. She holds a Ph.D. in Language, Literacy, and Technology from the University of California, Irvine, and previously served as an Assistant Professor at the University of Michigan from 2022 to 2024. Her work focuses on understanding how AI can complement human interactions, particularly through conversational agents integrated into media like books and educational TV programs. Collaborations include partnerships with PBS KIDS, GBH Education, and Sesame Workshop. Funded by organizations such as the National Science Foundation and Schmidt Futures, her research bridges developmental psychology, education, and human-computer interaction. Xu's studies highlight AI's potential for personalized learning while addressing ethical considerations like AI literacy and social impact. Key achievements include numerous best paper awards and recognition as an Early Career Interdisciplinary Scholar by SRCD. Her interdisciplinary approach involves designing technologies that reflect community values and linguistic/cultural diversity, ensuring equitable access to AI-driven educational tools. Xu advocates for balanced AI integration in children's lives, emphasizing the need for transparency about AI's limitations and the importance of maintaining human connections. She explores how AI can empower stakeholders (e.g., educators, parents) to co-create technologies tailored to their needs, ensuring AI serves as a complement—not replacement—for human interaction. Current projects investigate conversational AI's design principles, children's perceptions of AI, and strategies for fostering critical evaluation of AI-generated content. She also examines how AI affects social interactions and developmental processes, advocating for ethical guidelines to maximize benefits while mitigating risks.

Jiajun Wuمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Robotics
• +۵ مورد دیگر

Jiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University. He holds multiple affiliations including membership in Bio-X, Faculty Affiliate status at the Institute for Human-Centered Artificial Intelligence (HAI), and membership in both the Wu Tsai Human Performance Alliance and Wu Tsai Neurosciences Institute. Dr. Wu earned his Ph.D. and S.M. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology before joining Stanford. Dr. Wu's research program focuses on creating AI systems that understand and interact with the physical world through the integration of computer vision, machine learning, robotics, and cognitive science. His work emphasizes physics-based modeling combined with deep learning to develop systems capable of perceiving, reasoning about, and predicting physical interactions. Key research areas include 3D scene understanding, neurosymbolic AI approaches, multimodal perception (combining vision, sound, and language), and embodied intelligence for robotics applications. His lab develops novel frameworks that bridge the gap between neural networks and symbolic reasoning to create more interpretable and robust AI systems. Analysis of Dr. Wu's recent publications reveals a strong trajectory toward integrated multimodal understanding for embodied AI. His work increasingly combines vision, sound, and language processing with physical reasoning to create systems that can interact meaningfully with the physical world. There's a clear progression from foundational computer vision research toward practical robotics applications, with significant emphasis on foundation models for robotics, sim2real transfer techniques, and creating comprehensive datasets for embodied AI research. Dr. Wu's exceptional contributions have been recognized with numerous prestigious awards including the NSF CAREER award (2024), Young Investigator Programs from ONR (2024) and AFOSR (2023), the Okawa research grant (2024), and being named to IEEE Intelligent Systems' 'AI's 10 to Watch' (2024). He has received multiple best paper awards at leading conferences including ICRA (2024), SIGGRAPH Asia (2023), and CoRL (2023). Dr. Wu actively mentors a large cohort of students across multiple levels, serving as primary advisor for doctoral candidates, master's students, and numerous independent researchers. His research is supported by substantial funding from major technology companies including Google, Meta, Amazon, Samsung, and J.P. Morgan, as well as government agencies like NSF, ONR, and AFOSR, reflecting the significance and impact of his work in physical AI and multimodal perception systems. Dr. Wu leads a dynamic research group at Stanford that collaborates extensively with the Wu Tsai Neurosciences Institute and Institute for Human-Centered AI. Current projects include developing neurosymbolic models for computer graphics, creating multisensory datasets like OBJECTFOLDER 2.0 for sim2real transfer in robotics, and building foundation models for embodied intelligence that can understand and manipulate objects with human-like physical intuition.

• Inclusive Education
• Special Education
• Rehabilitation Pedagogy
• +۸ مورد دیگر

Prof. Dr. Teresa Sansour is a full Professor of Pedagogy and Didactics in Cases of Intellectual Development Impairments with Special Consideration of Inclusive Educational Processes at the Institute for Special and Rehabilitation Education, Carl von Ossietzky University of Oldenburg. She joined the university in April 2020 and has held leadership roles including Vice Director for Teaching at the Center for Teacher Education (since October 2021) and Deputy Institute Director (since April 2025). Her academic affiliations reflect a deep commitment to inclusive and special education. Her research focuses on educational interactions in the context of intellectual disabilities, inclusive subject didactics, the participation of people with complex disabilities, and the professionalization of educators and prospective teachers. Key research areas include inclusive literacy, art education, teacher motivation, and social integration. She leads significant funded projects such as Literary Texts in Simple Language (LiES) and Lighthouses for Participation , both aimed at enhancing inclusion for people with disabilities. The recent publications of Prof. Sansour span topics such as school absenteeism in autism, self-concept in intellectual disabilities, inclusive art education, and participation models. Her work demonstrates a strong interdisciplinary and applied focus, combining qualitative methods with pedagogical innovation. She frequently publishes in peer-reviewed journals and edited volumes on special education, inclusive didactics, and disability studies. Member, German Society for Educational Research (DGFE), Section Special Education Member, Network for Complex Disabilities e.V. Chair, Advisory Board of the Georg-Leffers-Stiftung Chair, Association for the Promotion of Pedagogical Rehabilitation and Social Integration of People in Risk Situations Board Member, German Interdisciplinary Society for Research Promotion for People with Intellectual Disabilities (DIFGB) Prof. Sansour actively contributes to academic leadership and teacher training. She serves as program coordinator for the Bachelor’s in Special Education and accreditation officer for the Special Education/Social Studies cluster. Her work includes advising on inclusive curricula, fostering research collaborations, and securing external funding for inclusive initiatives. She has not received explicitly mentioned scientific awards in the provided text. She is involved in multiple collaborative research teams and projects focused on inclusion, literacy, and disability rights.

Susan Robertsonمشاهده پروفایل

استاد

• Sociology of Education
• Globalization and Education
• Education Governance
• +۴ مورد دیگر

Susan Robertson holds the Chair in Sociology of Education at the Faculty of Education, University of Cambridge, where she serves as Director of the Doctoral Programme and Editor-in-Chief of Globalisation, Societies and Education . She joined Cambridge in 2016 after academic appointments at the University of Auckland and University of Bristol, bringing over three decades of international expertise in critical education studies. Her educational foundation includes doctoral research in Sociology/Policy at the University of Calgary (1990), preceded by professional experience in the Research Division of Western Australia's Ministry of Education. This trajectory established her cross-sectoral perspective on education systems and policy implementation. Robertson's research critically examines state-education relationships through governance frameworks that determine educational equity and outcomes. She investigates how global and regional actors mediate the social contract between states and citizens, with particular focus on geopolitical shifts, OECD influence, and neoliberal transformations in higher education. Her work bridges sociology, political economy, and decolonial perspectives to address social justice imperatives in education. Analysis of her 2024-2026 publications reveals sustained engagement with higher education geopolitics, digital transformation challenges, and global governance mechanisms. Key thematic clusters include critiques of OECD-driven policy frameworks, analyses of ordinal citizenship in education systems, and examinations of how digitalization reshapes university missions while exacerbating existing inequalities. As Director of the Doctoral Programme, Robertson oversees comprehensive PhD training while convening the Culture, Politics and Global Justice research cluster that fosters interdisciplinary collaboration on transnational education challenges. Her service on the ESRC funding council positions her at the nexus of research strategy and resource allocation in UK social sciences. The Culture, Politics and Global Justice cluster under her leadership functions as a dynamic hub for critical scholarship, hosting regular seminars and collaborative projects that connect Cambridge researchers with global partners to address emergent issues in education governance and social transformation.

• International Economics
• Maritime International Trade
• Shipping Economics
• +۵ مورد دیگر

Polemis Dionysios serves as an Associate Professor in the Department of Maritime Studies at the University of Piraeus, Greece, within the School of Shipping and Industry. His academic profile demonstrates a strong commitment to maritime education and research in the Greek academic context, contributing to one of the Mediterranean's leading institutions for maritime studies. Professor Polemis specializes in International Economics and Maritime International Trade, with research focusing on the intersection of global trade patterns and maritime transportation systems. His scholarly work examines how geopolitical shifts, economic policy uncertainty, and market dynamics impact shipping operations, particularly in the LNG sector. His research interests span shipping economics, maritime transport economics, port management, and the geopolitical dimensions of international maritime trade routes. His publications reveal a consistent focus on analyzing market patterns, regulatory compliance, and sustainability challenges within the maritime sector. His extensive publication record, spanning from 2001 to anticipated 2025 publications, demonstrates a comprehensive understanding of the maritime sector from operational, economic, and policy perspectives. Recent work shows increasing attention to emerging technologies in shipping and the evolving geopolitical landscape affecting global trade routes, particularly regarding LNG transportation and strategic maritime chokepoints like the Suez Canal. As an academic in the Department of Maritime Studies at the University of Piraeus, Professor Polemis contributes to the educational mission of an institution with a strong tradition in maritime education, situated in Piraeus—one of the Mediterranean's most important port cities. His work bridges theoretical economic concepts with practical applications in the shipping industry, providing valuable insights for both academic and industry stakeholders.

Dan McAdamsمشاهده پروفایل

استاد

• Narrative Psychology
• Personality Development
• Life Story Approach
• +۷ مورد دیگر

Dan McAdams is a distinguished Professor of Psychology and Human Development and Social Policy at Northwestern University . As the director of the Study of Lives Research Group , he leads interdisciplinary research on personality development and biographical analysis across the lifespan. Research Interests : McAdams specializes in narrative psychology , focusing on the life-story model of human identity , generativity , and the redemptive self . His work explores how themes of power, intimacy, and redemption shape personal narratives, particularly in political and cultural contexts. He investigates the interplay between autobiographical memory , psychological biography , and personality development . Selected Publications : Recent works include analyses of Joe Biden's leadership narratives , a comprehensive handbook of personality development , and studies on acceptance narratives in late life . His research bridges political psychology with developmental frameworks , examining how sociocultural forces shape individual identities. Scientific Awards : Charles Deering McCormick Professor of Teaching Excellence Leadership Roles : Director of Study of Lives Research Group Advising : Mentors doctoral candidates across multiple programs, including Personality, Development, and Health Psychology , Clinical Psychology , and Human Development and Social Policy . His research group also includes affiliates from institutions like Tufts University , Williams College , and Bilkent University .

Erlend Hemمشاهده پروفایل

استاد

• Suicide epidemiology
• Mental health in healthcare workers
• Occupational stress
• +۳ مورد دیگر

Erlend Hem is a Professor II at the Department of Behavioral Medicine , University of Oslo. He is also affiliated with the Department of Health Management and Health Economics as a student. His research focuses on suicide epidemiology, mental health among healthcare professionals, and mortality statistics. University of Oslo Department of Behavioral Medicine Department of Health Management and Health Economics (student) His work includes analyzing suicide rates in physicians and veterinarians, psychological distress in intensive care workers during the pandemic, and disparities in cancer outcomes. Studies like the NORVET survey and methodological research on mortality recording highlight his interdisciplinary approach. Recent publications address English language barriers in medical literature comprehension and historical medical practices. Scientific contributions span journals like Tidsskrift for Den norske legeforening , BMC Psychiatry , and BMJ Open . Collaborative projects involve teams from Norwegian public health and emergency medicine sectors.

Ruth Kanferمشاهده پروفایل

استاد

• Adult Learning
• Workplace Motivation
• Career Development
• +۳ مورد دیگر

Ruth Kanfer is a Professor of Psychology at the Georgia Institute of Technology's School of Psychology, specializing in adult learning, motivation, and career development. Her research addresses the impacts of technological advancements, demographic shifts, and global economic changes on work and career trajectories. She co-directs the PARK Lab, focusing on topics such as self-regulation in job search, motivational dynamics, and the psychology of workplace environments. Dr. Kanfer holds a Ph.D. in Psychology from Arizona State University and has contributed to seminal works on aging and workforce diversity. She is a Fellow of prominent organizations including the Academy of Management and the American Psychological Association, and has received prestigious awards such as the SIOP's William R. Owens Scholarly Achievement Award. Her research employs mixed-methods approaches, including experimental studies and large-scale field research. Key themes include adult learning efficacy, team-based motivation, and the design of workspaces to enhance employee well-being. Dr. Kanfer has led projects funded by the Sloan Foundation and the National Academy of Sciences, emphasizing interdisciplinary collaboration. Notable contributions include studies on the future of work, the role of future time perspective in career decisions, and the application of a 'whole-person' framework to adult learning. Her work has been published in journals like Journal of Applied Psychology and American Psychologist . She actively participates in professional committees, including the Sloan Research Network on Aging and Work and the National Academy of Sciences' How People Learn II initiative.

Ke Yangمشاهده پروفایل

استادیار

• Algorithmic fairness
• Data ethics
• Data management
• +۷ مورد دیگر

Ke Yang serves as Assistant Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), College of Sciences. He founded and leads the Cohort for AI REsponsibility (CAREAI) initiative, while also holding core faculty positions in UTSA's School of Data Science and MATRIX (AI Consortium for Human Well-being). Education: Ph.D. from New York University (supervised by Prof. Julia Stoyanovich) Research Focus: Dr. Yang's work centers on AI trustworthiness and responsibility , with specialized expertise in algorithmic fairness, data ethics, and human-centered data science. His research addresses critical challenges including Large Language Model hallucinations, explainable AI frameworks, and algorithmic accountability mechanisms. He actively develops open-source tools like Ranking Facts and FairDAGs to implement these principles in practical systems. Publication Trends: Recent work (2020-2025) demonstrates evolving focus from foundational fairness in ranking systems toward generative AI safety and medical applications. His publications show strong theoretical grounding combined with real-world implementation, particularly in privacy policy analysis and medical question-answering systems using causal inference techniques. Scientific Recognition: Pearl Brownstein Doctoral Research Award (NYU Tandon School of Engineering) CDS Postdoctoral Fellowship (University of Massachusetts) Professional Development: Dr. Yang has secured significant research funding including the CDS Postdoctoral Fellowship at UMass. His graduate work at NYU and Drexel University was fully supported by research assistantships, demonstrating consistent funding acquisition throughout his career. He actively contributes to academic community building through conference tutorials and educational initiatives. Research Ecosystem: He directs CAREAI at UTSA while collaborating across institutional boundaries through MATRIX and the School of Data Science. Previously, he contributed to the Data systems Research for Exploration, Analytics, and Modeling (DREAM) lab and Center for Data Science at UMass Amherst, maintaining continuity in his responsible AI research trajectory.

Christopher G. Healeyمشاهده پروفایل

استاد

• Data Visualization
• Data Analytics
• Text Analytics
• +۷ مورد دیگر

Christopher G. Healey is the Goodnight Distinguished Professor of Analytics in the Institute for Advanced Analytics and a Professor in the Department of Computer Science at North Carolina State University. His research spans visualization, data analytics, text analytics, sentiment analysis, machine learning, cognitive psychology, computer graphics, and social media analytics. He has graduated 15 Ph.D. and 26 master's students and secured over $6 million in research funding from agencies including the National Science Foundation, Department of Defense, National Security Agency, Army Research Office, and various industry partners. He has published over 100 peer-reviewed articles and is a senior member of both IEEE and ACM, as well as a member of the NC State Academy of Outstanding Teachers. His research focuses on developing visualization techniques that leverage visual perception to support rapid, accurate, and effective analysis of large, complex datasets. More recently, he has been investigating machine learning for natural language processing and text analytics. His work includes projects on visualizing election results, sentiment estimation for social media, and wildfire narratives using large-scale social media data. His publications demonstrate a strong trend toward integrating machine learning with visualization, particularly for text analytics and social media analysis. He has made significant contributions to visualizing deep neural networks, cyber situation awareness, and pandemic response analytics, showing how visualization can enhance understanding of complex systems and large datasets across multiple domains. IBM Faculty Award (2007, 2008, 2010, 2011, 2012) Senior member, Association of Computing Machinery (ACM) (2007) Senior member, Institute of Electrical and Electronics Engineers (IEEE) (2007) NC State Academy of Outstanding Teachers inductee (2003) National Science Foundation Faculty Early CAREER Award (2001) He has successfully mentored numerous graduate students and secured significant research funding across multiple projects. His work with the Laboratory for Analytic Sciences, National Science Foundation, and Department of Defense demonstrates strong industry and government partnerships. His recent projects focus on visualizing social media narratives, deep neural networks for text understanding, and predictive analytics for large document collections. He leads research groups focused on visualization and analytics, working with teams to develop innovative approaches for data exploration and analysis. His current work continues to push the boundaries of how visualization can be used to enhance understanding of complex data across domains including public health, cybersecurity, and social media analysis.

Stephanie Archerمشاهده پروفایل

دانشیار

• Cancer Risk Prediction
• Digital Health Interventions
• Patient Experience Research
• +۲ مورد دیگر

Dr. Stephanie Archer is an Associate Professor and Senior Research Associate at the University of Cambridge, jointly affiliated with the Department of Psychology and the Department of Public Health and Primary Care. Her work bridges psychological science with clinical applications, particularly in cancer risk assessment and digital health interventions. Dr. Archer holds a BSc, MSc, and PhD, though specific institutions are not mentioned in available sources. Her educational background has prepared her for interdisciplinary research at the intersection of psychology, public health, and clinical medicine. Her research focuses on three primary areas: designing multifactorial cancer risk prediction tools for clinical settings; exploring patient and staff experiences of health and social care; and developing/testing digital health interventions. She employs qualitative methods extensively while also engaging with quantitative approaches for comprehensive health services research. Her work demonstrates strong translational focus, moving from theoretical frameworks to practical clinical applications. Analysis of Dr. Archer's recent publications reveals a consistent trajectory in cancer risk prediction tools (particularly CanRisk), patient experience research across multiple conditions, and implementation science for digital health interventions. Her work spans breast, ovarian, prostate, and other cancers while also addressing mental health in autistic populations and patient safety in surgical settings. The interdisciplinary nature of her research connects psychology with oncology, primary care, and public health. Dr. Archer actively contributes to clinical guidelines development, as evidenced by her involvement in the Joint ABS-UKCGG-CanGene-CanVar consensus regarding CanRisk implementation. Her research methodology combines qualitative depth with mixed-methods approaches to address complex healthcare challenges. As a Senior Research Associate and Associate Professor, Dr. Archer likely supervises PhD students and early-career researchers, though specific advisees are not documented in available sources. Her teaching interests include health psychology, health services research, qualitative methods, and intervention development. Dr. Archer collaborates across multiple research units at Cambridge, including the Primary Care Unit and likely the Centre for Cancer Genetic Epidemiology, reflecting her interdisciplinary approach to improving cancer risk assessment and patient care pathways.