Find Academic Supervisors

• Sociology of Culture
• Ethnomusicology
• Cultural Policy Evaluation
• +7 more

Maria João Lima is a Guest Assistant Professor in the Department of Social Research Methods at the School of Sociology and Public Policy, Iscte – University Institute of Lisbon. She is also an Integrated Researcher at CIES-Iscte – Center for Research and Studies in Sociology, where she contributes to the Portuguese Observatory of Cultural Activities (OPAC). Her academic work bridges sociology and ethnomusicology, focusing on cultural policies, audience studies, and participatory cultural practices. PhD in Sociology, Iscte – University Institute of Lisbon (2023) Master’s in Musical Sciences – Ethnomusicology, Nova University of Lisbon (2000) Bachelor’s in Musical Sciences – Musicology, Nova University of Lisbon (1995) Her research interests include the sociology of culture, ethnomusicology, cultural policy evaluation, museum audiences, choral singing, and local musical practices. She has conducted extensive research on cultural participation, heritage accessibility, and the impact of public policies on cultural institutions in Portugal. Her scholarly output includes over 80 publications, with significant contributions to books and reports on national museum audiences, cultural mapping, and reading promotion. While her work is not indexed in Web of Science or Scopus, her Google Scholar profile reflects 801 citations and an h-index of 15, indicating strong recognition within Portuguese and Lusophone academic communities. She has been involved in numerous research projects related to cultural evaluation, including studies on the impact of the pandemic on national monuments and public access to heritage. She frequently presents at national and international conferences, such as the Portuguese Congress of Sociology and the International Conference on Arts and Cultural Management. Researcher at INET-MD – Institute of Ethnomusicology, Music and Dance (1995–2000) Researcher at OAC – Observatory of Cultural Activities (2001–2013) Current member of the Portuguese Observatory of Cultural Activities (OPAC) She has not been listed as supervising any graduate students, nor are any awards or grants explicitly mentioned in the available data. Her active research agenda continues to shape understanding of cultural dynamics in Portugal.

Stefanie L. SequeiraView profile

Assistant Professor

• Clinical Psychology
• Developmental Psychology
• Cognitive Neuroscience
• +9 more

Stefanie L. Sequeira is an Assistant Professor in the Department of Psychology at the University of Virginia's College of Arts & Sciences, where she conducts interdisciplinary research at the intersection of clinical, developmental, and cognitive neuroscience. She is actively engaged in research, teaching, clinical supervision, and mentoring as part of the Clinical Psychology program. Education: Ph.D. in Clinical-Developmental Psychology, University of Pittsburgh, 2023 B.A. in Psychology, University of Maryland, 2014 Her research investigates how social threat and reward processes develop during adolescence and contribute to mental health conditions such as anxiety disorders and suicidal thoughts and behaviors. She employs ecologically valid, multi-level methods including functional MRI, eye-tracking, ecological momentary assessment (EMA), and passive sensing to capture real-time behavioral and neural dynamics. Her work aims to identify modifiable risk processes that can inform early intervention strategies for youth mental health. Dr. Sequeira has secured competitive funding from the National Science Foundation, the Society for a Science of Clinical Psychology, and the American Foundation for Suicide Prevention, which supports a new longitudinal study on social anhedonia and suicidal behaviors in adolescents. Scientific Awards and Grants: National Science Foundation Graduate Research Fellowship Society for a Science of Clinical Psychology grant American Foundation for Suicide Prevention grant She teaches courses such as child psychopathology and a graduate-level course on psychological interventions, and she provides clinical training and supervision to graduate students in UVA’s Clinical Psychology program. Her lab focuses on developmental affective neuroscience and adolescent psychopathology, integrating longitudinal and multimodal assessment approaches to understand risk trajectories.

• Palliative Care
• Dementia Care
• Nursing Home Care
• +3 more

Sascha Bolt is a Researcher at Tilburg University's School of Social and Behavioral Sciences, affiliated with the Tranzo Academic Collaborative Center for Digital Health & Mental Wellbeing. Their work focuses on palliative care, dementia care, and healthcare quality improvement, contributing to UN Sustainable Development Goals related to health and well-being. Recent research includes studies on advance care planning, nursing home residents' autonomy, and person-centered dementia care models. Education details are not explicitly stated in the provided text. Collaborations span international teams, as seen in a Delphi study involving global experts. Research outputs from 2019 to 2025 highlight a growing focus on end-of-life care, nursing home environments, and dementia care innovation. Key topics: Dementia care, palliative therapy, nursing home quality, advance care planning. Presentations include talks on eHealth in dementia care and pandemic preparedness in nursing homes. No specific grants or awards are listed, though activities suggest active engagement in collaborative research and public dissemination.

Susan E Clampet-LundquistView profile

Professor

• Urban Sociology
• Social Policy
• Adolescent Risk Behavior
• +6 more

Susan Clampet-Lundquist is a Professor in the Department of Sociology and Criminal Justice at Saint Joseph's University. Her research focuses on urban neighborhoods, adolescent risk behavior, and social policy impacts, particularly through the lens of housing mobility programs like the Moving To Opportunity (MTO) demonstration. BA in Psychology, Furman University MA in Urban Studies, Temple University MA in Demography, University of Pennsylvania PhD in Sociology, University of Pennsylvania Her interdisciplinary work examines how neighborhood contexts shape family dynamics and youth outcomes, with methodological expertise in both quantitative surveys and qualitative fieldwork. She co-authored the influential book Coming of Age in the Other America (2016) and has published extensively in journals like American Journal of Sociology and Journal of Adolescent Research . Research trends across her publications reveal sustained focus on: Gender disparities in urban poverty experiences Mental health and economic outcomes post-relocation Community-level impacts of housing policies Longitudinal effects of neighborhood change on youth In teaching, she offers courses on Social Problems, Urban Sociology, and correctional facility-based Inside-Out classes that integrate traditional students with incarcerated peers for collaborative learning.

Nikolaos KoutsoulerisView profile

Professor

• Predictive Psychiatry
• Machine Learning in Psychiatry
• Psychosis Prediction
• +5 more

Professor Nikolaos Koutsouleris serves as a Research Group Leader for the Max Planck Fellow Group for Precision Psychiatry at the Max Planck Institute of Psychiatry and holds a position as Senior Physician in the Department of Psychiatry and Psychotherapy at Ludwig Maximilian University (LMU) Munich. His work bridges clinical practice with advanced computational approaches to transform psychiatric diagnostics and treatment. Dr. Koutsouleris specializes in predictive psychiatry, focusing on extracting meaningful patterns from neurobiological, neurocognitive, and clinical data to improve early recognition of functional psychoses. His research employs structural MRI, neuropsychological testing, and clinical evaluations within cross-sectional and longitudinal studies, utilizing advanced machine learning methods to identify and validate biomarkers for single-subject prediction of psychosis. As head of the Early Psychosis Studies and the Workgroup for Neurodiagnostic Applications, he drives initiatives to implement predictive models across healthcare settings for personalized management of high-risk individuals. His publication record reveals a consistent focus on machine learning applications in psychiatry, with recent work addressing critical issues like the generalizability of clinical prediction models, brain aging patterns in large populations, and multimodal approaches to psychosis prediction. His research spans from fundamental methodological challenges to clinical applications, demonstrating how AI and machine learning are transforming psychiatric practice toward precision medicine. Dr. Koutsouleris actively trains pre- and post-doctoral investigators in advanced data analysis techniques, emphasizing comprehensive analysis of complex, high-dimensional datasets using multivariate methods. His leadership in the PRONIA Consortium and other collaborative efforts highlights his commitment to advancing the field through international cooperation and rigorous scientific inquiry.

• Environmental Policy
• Water Policy
• Collaborative Governance
• +4 more

Elizabeth A. Koebele serves as Associate Professor of Political Science and Director of Graduate Studies at the University of Nevada, Reno, where her research centers on environmental policy with emphasis on collaborative governance, western U.S. water management, and disaster policy. Her methodological expertise combines qualitative and mixed approaches to analyze policy processes and outcomes. Her educational background includes: Ph.D. in Environmental Studies, University of Colorado Boulder (2017) M.S. in Environmental Studies, University of Colorado Boulder (2014) B.A. in English Literature, Arizona State University (2010) B.A. in Secondary Education, Arizona State University (2010) Dr. Koebele's research investigates how collaborative policymaking shapes environmental governance, particularly in water resources and disaster contexts. She examines coalition dynamics, narrative power in policy frameworks, and institutional arrangements enabling adaptive responses to climate challenges. Her work bridges political science with environmental studies through rigorous mixed-methods analysis. Analysis of her recent publications reveals consistent focus on polycentric governance systems, especially in western U.S. water basins. Key trends include studying collaborative forums in the Colorado River Basin, urban water management transitions in cities like Miami and Las Vegas, and the interplay between narrative strategies and policy change. Her scholarship increasingly integrates climate adaptation with equity considerations in resource governance. Her notable recognitions include: 2021 NSF CAREER award for Colorado River water governance research 2022 NSHE Board of Regents Rising Researcher award Dr. Koebele has secured significant external funding from the U.S. National Science Foundation and U.S. Department of Agriculture. As Director of Graduate Studies, she oversees the Political Science department's graduate program while maintaining an active research group focused on environmental governance. Her editorial role as co-editor of Policy & Politics further demonstrates her leadership in the field.

Colin MillsView profile

Associate Professor

• Social Inequality
• Social Mobility
• Social Demography
• +4 more

Colin Mills is an Associate Professor of Sociology at the University of Oxford and a Professorial Fellow at Nuffield College. His work focuses on social inequality , social mobility , and quantitative social research . Supervision: Quantitative work in social stratification, demography, employment sociology Geographic scope: UK-centric, with openness to Anglophone countries, Germany, France, Sweden Research Interests include: Social stratification and class dynamics Intergenerational mobility and demographic factors Quantitative methodology (not methodological innovation) Doctoral Students include graduates placed at Essex, Surrey, LSE, and international institutions. Contact : colin.mills@nuffield.ox.ac.uk , colin.mills@sociology.ox.ac.uk .

Poldi KuhlView profile

Professor

• Educational Psychology
• Developmental Psychology
• Digital Learning Platforms
• +4 more

Prof. Dr. Poldi Kuhl is a Professor of Educational Psychology at Leuphana University , Lüneburg, since 2021. Affiliated with the Institute of Psychology in Education (IPE) and the Center for Empirical Research on Language and Education (ERLE) , Kuhl specializes in educational psychology, developmental psychology, and inclusive education. Their research focuses on data-driven decision-making, digital learning platforms, academic language demands, and teacher professional development. Education: Diploma in Psychology (2003) and PhD in Philosophy (2008) from Freie Universität Berlin. Kuhl’s recent work examines how academic language features affect learning outcomes, digital data utilization in primary education, and mental health literacy among teachers. Their publications span topics from virtual reality training tools to inclusive teaching strategies in mathematics. Kuhl’s career includes leadership roles at the Research Data Center (FDZ) at the Institute for Quality Improvement in Education (IQB) and a Junior Professorship at Leuphana University. They have collaborated with institutions like the Universitat Oberta de Catalunya and the Max Planck Institute for Human Development .

Peter X. K. SongView profile

Professor

• data integration
• distributed inference
• high-dimensional data analysis
• +13 more

Peter X. K. Song is a Professor in the Department of Biostatistics at the University of Michigan School of Public Health. With expertise spanning statistical methodology development and interdisciplinary applications, Dr. Song maintains active collaborations across Nutritional Sciences, Environmental Health Sciences, Chronic Disease research, and Nephrology. His work bridges theoretical statistics with practical healthcare solutions, focusing on innovative approaches to complex data challenges in public health and medicine. Based at the M4140 SPH II building in Ann Arbor, he leads the Song Lab and contributes significantly to the academic community through teaching, research mentorship, and scholarly publications. PhD, University of British Columbia, Vancouver, 1996 BS, Jilin University, Changchun, 1985 Dr. Song's research focuses on the statistical foundation of big data analytics, with particular emphasis on data integration, distributed inference, high-dimensional data analysis, longitudinal data analysis, mediation analysis, and spatiotemporal modeling. His methodological innovations address critical challenges in smart health applications, including organ exchange programs, children's health, chronic disease management, environmental health assessment, and nutritional sciences. His approach combines statistical theory, integer optimization, and algorithm development to create practical tools that help researchers understand complex relationships between environmental exposures and health outcomes. Dr. Song's publication record demonstrates a consistent trajectory of methodological innovation applied to pressing health challenges. His recent work shows increasing focus on sleep classification using AI techniques, personalized treatment effect analysis, distributed statistical methods for high-dimensional data, and epigenetic applications in adolescent health. The interdisciplinary nature of his research is evident in publications spanning biostatistics journals, computer science venues, and domain-specific medical publications. His work increasingly addresses the challenges of integrating diverse data sources while maintaining statistical rigor in the era of big data. IMS Fellow ASA Fellow Elected Member of the International Statistical Institute 2017 ENAR John Van Ryzin Award Dr. Song has mentored an impressive 22 PhD students and 6 postdoctoral trainees throughout his career, with many now holding faculty positions at prestigious institutions or working as data scientists in leading technology companies. His lab, the Song Lab, currently supports two postdoctoral research fellows and eight doctoral students working on cutting-edge statistical methodology development. His collaborative research extends across numerous grants that support interdisciplinary projects in kidney paired donation programs, environmental health studies, nutritional sciences, and chronic disease research, demonstrating his commitment to translating statistical innovation into practical health solutions. The Song Lab serves as a hub for interdisciplinary statistical research at the University of Michigan, bringing together experts from statistics, operations research, and machine learning to address complex challenges in medical and public health sciences. Current lab members include eight doctoral students and three postdoctoral fellows working on projects related to optimal organ matching strategies, causal mediation pathways of omics biomarkers, and statistical methods for big data integration. The lab maintains strong connections with clinical researchers across nephrology, pediatrics, environmental health sciences, and nutritional sciences, ensuring that methodological developments remain grounded in real-world applications.

Daniel VoglerView profile

Researcher

• Journalism Research
• Public Relations
• Online Communication
• +2 more

Daniel Vogler is a Senior Research and Teaching Associate and Head of Research at the University of Zurich , affiliated with the Institute of Communication Science and Media Research (IKMZ) . He serves as Deputy Director of the fög – Research Center for Public Opinion and Society , with a career spanning over 15 years in academic communication research. Education: Communication Science, Political Science, and Ethnology at University of Zurich (2003-2013), culminating in a 2020 PhD on Media Reputation of Universities . His research focuses on Journalism Research, Public Relations, Online Communication, Crisis Communication, and Computational Social Science , with notable work on media reputation dynamics, AI's impact on journalism, and crisis-driven norm formation. Recent publications analyze Swiss media ecosystems using automated content analysis and longitudinal studies. Key awards include the 2023 ICA Health Communication Top Paper Award and the 2020 ICA Best Student Paper Award . He contributes to editorial boards of journals like the International Journal of Crisis and Risk Communication Research and co-edits the Yearbook Quality of the Media – Switzerland .

• Causal Inference
• Mediation Analysis
• Statistics
• +5 more

Dr. Fan Xia is an Assistant Professor in the Department of Epidemiology and Biostatistics at the University of California, San Francisco (UCSF) School of Medicine. She earned her PhD in Biostatistics from the University of Washington, Seattle in June 2020. Dr. Xia's research focuses on methodological developments in causal inference, particularly causal mediation analysis, and she has made significant contributions to the field with numerous publications in high-impact statistical and medical journals. PhD in Biostatistics, University of Washington, Seattle (June 2020) Dr. Xia's research is primarily oriented around causal mediation analysis. Her work provides comprehensive guidance for applied statisticians and epidemiologists navigating the philosophical subtleties and abundant methodology in causal inference. She develops methodologies for complex causal mediation structures, including mediation analysis with treatment-induced confounding, mediation analysis with multiple mediation pathways, and mediation analysis for longitudinal data, using rigorous statistical theories for semiparametric inference. Additionally, her research involves causal discovery and cluster randomized trials with stepped wedge designs, which are related to model-based causal inference with longitudinal data. Dr. Xia has demonstrated a steady publication record with increasing productivity since completing her PhD. Her publications span from 2017 to 2025, with a notable increase in output from 2021 onward. Her work appears in top statistical journals like Biometrika, Journal of the American Statistical Association, and Biometrics, as well as medical journals including JAMA Network Open and Clinical Infectious Diseases. The publications reflect her dual focus on methodological advancements in statistics and applications to important health issues, particularly in HIV research, clinical trials methodology, and chronic disease epidemiology. No specific awards mentioned in the provided information Dr. Xia appears to be actively involved in collaborative research across multiple domains. Her publications indicate collaborations with researchers in epidemiology, medicine, and public health. While specific grant information is not provided, her research on stepped wedge cluster randomized trials suggests involvement in methodological grant-funded research. She has served as a co-investigator on studies related to HIV, hypertension, tobacco use, and chronic kidney disease, demonstrating the breadth of her research impact. Dr. Xia appears to be part of the broader biostatistics and epidemiology research community at UCSF. Her publications indicate collaborations with researchers across different departments and institutions. While specific lab information is not provided, her work on stepped wedge designs suggests she may be part of or collaborate with teams focused on clinical trial methodology. Her research on HIV and women's health also suggests connections with relevant research groups at UCSF, contributing to the university's mission of advancing health worldwide.

• Privacy and Cybersecurity
• Service and Business Model Innovation
• IoT Ecosystems
• +1 more

Prof. Dr. Patrick Cichy is an affiliated professor at the Institute for Technology and Innovation Management (TIM) of RWTH Aachen University and also associated with Bern University of Applied Sciences. His research agenda lies at the intersection of information systems, innovation management, and data science, with a core focus on privacy & cybersecurity, service and business-model innovation, IoT ecosystems, and text mining/visual analytics. Research Interests: Privacy & Cybersecurity: Investigating how individuals and organizations balance privacy concerns with data sharing incentives, especially in emerging technology contexts. Service & Business Model Innovation: Examining how firms create and capture value from digitally enabled services and personal data. IoT Ecosystems: Studying the dynamics of value creation, legitimacy, and privacy within interconnected Internet-of-Things environments. Text Mining & Visual Analytics: Leveraging advanced computational techniques to map and analyze large-scale discourse and innovation patterns. Across his latest publications (2014–2024), a clear thematic trajectory emerges: an evolving exploration of privacy calculus and data-sharing behavior, methodological advances in text mining for innovation studies, and longitudinal analyses of privacy discourse spanning three decades. These works collectively contribute to both theoretical development and practical guidance for policymakers and managers navigating digital transformation. Contact: Email: cichy@time.rwth-aachen.de Office hours: By appointment

Joshua CaminsView profile

Assistant Clinical Professor

• Forensic Psychology
• Clinical Psychology
• Psychological Assessment
• +3 more

Joshua Camins , Ph.D., ABPP, is a Clinical Assistant Professor at the University of Illinois, Urbana-Champaign , affiliated with the Department of Educational Psychology and the Department of Clinical Sciences . He also serves as an Affiliate at the Disability Resources and Educational Services (DRES) within the College of Applied Health Sciences . Education: B.A. in Psychology, University of New Haven (2011) B.S. in Criminal Justice, University of New Haven (2011) M.A. in Clinical Psychology, Towson University (2013) Ph.D. in Clinical Psychology, Sam Houston State University (2020) ABPP Board Certification in Forensic Psychology (2024) Research Focus: Camins specializes in forensic psychology , competence to stand trial , and violence risk assessment . His neuroscience work on childhood adversity and brain structure, particularly hippocampal volume reduction due to maltreatment, has been published in PLoS ONE and other journals. Publication Trends: His recent articles explore telesupervision during the pandemic, PTSD in veterans , maternal influences on delinquency , and school-based mental health for immigrant youth . Scientific Awards: ABPP Board Certification in Forensic Psychology (2024) Postdoctoral Fellowship in Forensic Psychology, Mendota Mental Health Institute (2021) Grants & Collaborations: Co-authored a NIH-funded study on childhood socioeconomic status and brain structure (2017) and contributed to research on financial strain and neurodevelopmental outcomes.

Isabella DobrescuView profile

Professor

• Labour economics
• Public finance
• Health economics
• +4 more

Professor Isabella Dobrescu is Head of the School of Economics at the University of New South Wales (UNSW) Business School and co-chair of the STEP UP initiative in Education. She serves as an editor for the Journal of Pension Economics & Finance and maintains an active research program spanning labor economics, public finance, health economics, and applied econometrics. Her educational background includes a Ph.D. in Economics with Honors from the University of Padua (2009), an M.Sc. in Economic Mathematical Modeling Summa cum Laude from West University of Timisoara (2005), and dual bachelor's degrees in Economics from Nottingham Trent University and Finance Summa cum Laude from West University of Timisoara (2003). Dobrescu's research has evolved from structural work on consumption and saving dynamics to pioneering applications combining theory, empirical analysis, and randomized controlled trials to improve educational outcomes through technology. Her recent work focuses on financial literacy interventions for high school students through the STEP UP program, while maintaining her longstanding research on aging populations, retirement decision-making, and risk behavior. Her publication portfolio demonstrates consistent output across labor economics, health economics, and applied econometrics, with recent emphasis on educational technology interventions and financial decision-making in retirement contexts. The research shows methodological diversity spanning structural modeling, nonparametric partial identification techniques, and experimental approaches. UNSW Business School Research Impact Award (2021) UNSW President's Award for Building Collaborations (2019) UNSW Scientia Education Fellowship (2017) Australian Government Office of Learning & Teaching Citation (2016) ARC Early Career Research Fellowship (2012) Dobrescu has secured over AU$2.5 million in competitive research funding since 2010, including major ARC Linkage grants and substantial UNSW strategic investments. She leads the STEP UP initiative which has received over AU$650,000 in funding for financial literacy outreach programs. Her collaborative approach is evident in numerous multi-investigator projects with colleagues including Bateman, Thorp, Motta, and Newell across economics, finance, and education domains. As Head of the School of Economics and co-chair of STEP UP, Dobrescu leads research teams focused on educational interventions using technology, retirement decision-making, and the economics of aging. Her Playconomics platform represents a significant innovation in experiential economics education, receiving media coverage from major outlets including The Sydney Morning Herald and The Australian.

Ximena ArriagaView profile

Professor

• Intimate Partner Violence
• Sexual Risk-Taking
• Attachment Theory
• +4 more

Ximena Arriaga is a Professor in the Department of Psychological Sciences at Purdue University. Her research focuses on intimate partner violence, adult attachment dynamics, and social psychological factors in interpersonal relationships. She teaches courses in experimental methods and social psychology, and leads the ARCC Lab (Aggression, Relationships, and Coping Collaborative). Ph.D. from University of North Carolina at Chapel Hill Research interests span three domains: Intimate Partner Violence : Examines victim/perpetrator justification mechanisms, social support responses, and longitudinal impacts. Attachment Theory : Studies relationship security during life transitions (e.g., parenthood) and contextual influences like the COVID-19 pandemic. Social Dynamics : Investigates confrontation scenarios, trust mechanisms, and interdependence theory applications. Her 2019-2025 publications reveal methodological diversity, combining experimental designs, longitudinal analysis, and machine learning techniques to study relational patterns. Themes include violence normalization, coping trajectories, and contextual factors shaping relationship outcomes.