Find Academic Supervisors

• Longitudinal Data Analysis
• Time-to-Event Analysis
• Survival Analysis
• +5 more

Alessandra Meddis serves as an Assistant Professor in the Section of Biostatistics within the Department of Public Health at the University of Copenhagen's Faculty of Health and Medical Sciences. Her academic work centers on developing and applying advanced statistical methodologies for longitudinal and time-to-event data analysis, with significant contributions to public health research in Denmark and internationally. Her institutional affiliation is clearly established through university contact details and departmental listings. Her primary research interests include correlated survival data analysis, competing risk modeling, informative cluster size methodology, causal inference techniques for observational studies, and environmental epidemiology applications. Dr. Meddis has developed specialized expertise in handling complex survival data structures while maintaining focus on real-world public health problems, particularly in HIV comorbidity patterns, environmental exposure effects, and pandemic-related mortality analyses. Her methodological innovations directly address challenges in clustered and censored data common across medical research domains. Analysis of Dr. Meddis's recent publication record reveals a consistent trajectory of high-impact interdisciplinary research spanning clinical medicine, epidemiology, and statistical methodology. Her work appears in leading journals across biostatistics, infectious diseases, and public health, demonstrating strong collaborative networks with clinical researchers and epidemiologists. Key thematic areas include HIV treatment outcomes, environmental health exposures, and critical care applications during the pandemic, with recent methodological papers advancing survival analysis techniques for complex data structures. Scientific Awards: No scientific awards were specified in the available institutional profile. Advising and Grants: The institutional profile does not provide details regarding graduate student supervision or specific research grant funding. Her collaborative publications suggest involvement in multi-investigator projects including the COCOMO HIV cohort study and pandemic-related research initiatives. Labs and Teams: Dr. Meddis is affiliated with the Section of Biostatistics within the Department of Public Health, though specific laboratory facilities or dedicated research teams are not described in the source material. Her extensive co-authorship patterns indicate active participation in multiple research consortia across medical specialties.

Sascha StruweView profile

Research Fellow

• Service Innovation
• Service Design
• Value Co-Creation
• +4 more

Sascha Struwe serves as a Postdoctoral Researcher at Aalborg University Business School within the Faculty of Social Sciences and Humanities, actively contributing to the International Business Research Group. Based at Fibigerstræde 11 in Aalborg Øst, Denmark, Struwe operates at the intersection of service innovation theory and business practice with international focus. Research expertise centers on service innovation , value co-creation , and digital servitization , particularly examining B2B contexts and open banking ecosystems. Work consistently explores institutional influences through German-Chinese case studies, addressing how cultural and regulatory frameworks shape service design. Recent trajectories reveal evolution from foundational service design challenges (2019-2021) toward digital transformation implications (2022-2023), with emphasis on value co-destruction mechanisms in financial ecosystems. Struwe led the PhD project Innovating the Invisible and Intangible: Value Creation in B2B service (2018-2021) investigating co-creation capabilities across industrial sectors. Academic engagement includes conference participation at EIBA and CICALICS events, plus a visiting researcher appointment at Fudan University's Nordic Centre (2019-2020). Current work continues through the International Business Research Group, focusing on digital literacies and service ecosystem resilience.

Mikael B. SkovView profile

Professor

• Human-Computer Interaction
• Artificial Intelligence
• Robotics
• +6 more

Mikael B. Skov is a Vice Dean and Professor at the Technical Faculty of IT and Design of Aalborg University , Denmark. His research spans human-AI interaction, robotics, and user experience, with a focus on trust signaling in clinical AI, swarm robotics, and sound zones for domestic environments. Role: Vice Dean for Research Department: Computer Science Research Interests: Skov investigates how humans interact with AI and robots in healthcare and domestic settings, emphasizing trust calibration, alert design, and acoustic comfort. His work includes developing frameworks for UX maturity in robotics organizations and studying long-term adoption of sound zone systems. Recent Projects: As principal/co-investigator, he leads the HERD project on human-AI collaboration in robot swarms (2021–2025) and supervises Data og Bæredygtig Mad (2020–2023), an HCI perspective on sustainable food systems. Publications: His 2024 work includes studies on AI explanations in clinical training, music applications with intermittent interactions, and multi-robot supervision. Earlier projects (2001–2020) focused on mobile device usability, UX practices, and context-aware computing.

Claus Thustrup KreinerView profile

Professor

• Public Economics
• Public Finance
• Public Policy
• +7 more

Claus Thustrup Kreiner is a Professor of Economics and Director of the Center for Economic Behavior and Inequality (CEBI) at the University of Copenhagen's Faculty of Social Sciences, Department of Economics. He also serves as Area Director of Public Economics in the CESifo network and was co-editor of the Journal of Public Economics from 2014 to 2020. Kreiner has held various leadership positions including Director of the Economic Policy Research Unit (EPRU) since 2005 and Director of the Center of Excellence WEST from 2011-2013. Education: Ph.D. in Economics, University of Copenhagen, 1998 Visiting Ph.D. student, University of York, 1996 M.Sc. in Economics, University of Copenhagen, 1994 B.Sc. in Economics, University of Copenhagen, 1991 Claus Thustrup Kreiner's research primarily focuses on Public Economics , with secondary specializations in Labor Economics, Household Finance, Applied Microeconometrics, and Experimental Economics. His work examines inequality in income, wealth and health, optimal redistribution policy, and behavioral responses to public policy. Kreiner has conducted significant research using Danish administrative data to analyze tax compliance, labor supply responses, and inequality dynamics. His research often involves collaborations with institutions like Columbia University, London School of Economics, and UC Berkeley. His recent publications reveal a strong focus on inequality across multiple dimensions (income, wealth, health, life expectancy), tax policy design and compliance, labor market responses to policy changes, and the intersection of behavioral economics with public policy. Kreiner frequently employs high-frequency administrative data from Denmark to provide empirical evidence on how individuals and households respond to economic policies and shocks. Scientific Awards and Recognition: Appointed Knight of The Order of Dannebrog by Queen Margrethe II (2018) The Invisible Hand Award from the Society of Social Economics (2006, 2001) Best Teacher Award from the Study Board of Economics at University of Copenhagen (2002) Research Fellow at Centre for Economic Policy Research (CEPR), London (2009-) Kreiner has supervised numerous students primarily in Public Economics and has received multiple research grants including from the Danish Social Science Research Council (2003, 2006, 2009), International Growth Center (2009), and Danish National Research Foundation (1998-2003). He has served on important policy bodies including as co-chair of the Danish Economic Council (2010-2014) and member of the Danish Tax Commission (2008-2009). As Director of CEBI (Center for Economic Behavior and Inequality), Kreiner leads a major research center funded by the Danish National Research Foundation. He also directs the Economic Policy Research Unit (EPRU) and has been instrumental in establishing research collaborations through networks like CESifo. His work bridges academic research and policy application, as evidenced by his practical policy experience with government commissions.

• Multimodal Learning
• Multilingual NLP
• Vision-Language Models
• +4 more

Desmond Elliott is an Associate Professor in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen (UCPH). His research focuses on multimodal and multilingual models with specific emphasis on vision-language integration and tokenization-free NLP approaches. He teaches Bachelor and Master's level courses including Advanced Topics in Natural Language Processing (since 2019), Grundlæggende Data Science (since 2023), and previously Data Science (2021-2023). His research interests center on building and understanding multimodal and multilingual models , particularly exploring vision and language interactions through billion-parameter systems. Current work investigates cultural representation disparities in vision-language models, parameter-efficient captioning, and multimodal distributional semantics across diverse domains including food culture and medical imaging. His methodology emphasizes real-world applicability in non-English contexts and ethical considerations in multimodal systems. Elliott's recent publications (2025) demonstrate leadership in multimodal NLP, with significant contributions to vision-language pretraining, multilingual evaluation frameworks, and clinical NLP applications. His work spans theoretical advancements in model architectures and practical implementations addressing challenges in low-resource languages and domain adaptation. Best Long Paper Award at EMNLP 2021 Best Poster Award at COLING 2019 As an active educator, Elliott contributes to courses on Fair and Transparent Machine Learning and previously taught Information Retrieval. His research collaborations span international institutions with particular focus on European and non-English language contexts, reflecting UCPH's recognition as Europe's #1 institution for HCI research over the past decade.

Kunihiko KanekoView profile

Professor

• Theoretical Biophysics
• Complex Systems
• Chaos
• +6 more

Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.

James A. EvansView profile

Professor

• Computational Social Science
• Collective Intelligence
• Science of Science
• +12 more

James A. Evans is the Max Palevsky Professor of Sociology and Data Science at the University of Chicago, where he is a faculty member in the Department of Sociology within the Division of the Social Sciences. He is the director of Knowledge Lab and the Faculty Director of the Masters Program in Computational Social Science . He holds additional affiliations as an External Professor at the Santa Fe Institute , External Faculty at the Complexity Science Hub, Vienna , and Visiting Faculty Researcher at Google . Education: B.A. in Anthropology, Brigham Young University (1994) M.A. in Sociology, Stanford University (1999) Ph.D. in Sociology, Stanford University (2004) His research centers on the collective system of thinking and knowing , exploring how ideas emerge, spread, and evolve through social and technical systems. He investigates innovation, collective intelligence, and the science of science , using large-scale data modeling, machine learning, generative AI, and network analysis to study knowledge creation. His work spans domains including science, technology, law, and religion, with a focus on how AI is reshaping discovery processes. The most recent publications highlight trends in AI and scientific discovery , with a strong emphasis on innovation, knowledge systems, and human-machine intelligence . His research increasingly explores AI as a transformative agent in science , including the concept of 'alien intelligence' and the development of complementary AI to augment human capacity. Projects like the $20M NSF-funded APTO initiative aim to build language models that predict technological outcomes by analyzing historical data. Scientific Recognition and Funding: Research supported by the National Science Foundation (NSF) , National Institutes of Health (NIH) , Air Force Office of Scientific Research (AFOSR) , and philanthropic sources Work published in Nature, Science, PNAS , and leading social science journals Featured in The New York Times, The Economist, The Atlantic, Wired, NPR, BBC, Le Monde , and others James Evans advises on science policy and funding strategies, emphasizing the importance of diversity, interdisciplinary collaboration, and demographic balance in fostering innovation. He critiques current academic incentives and proposes alternative discovery regimes. He leads Knowledge Lab , a collaborative research environment that conducts seminars, grants, and employment opportunities in computational social science and AI.

Anna Mathia KlawonnView profile

Associate Professor

• Neuroscience
• Neuroimmunology
• Affective Disorders
• +6 more

Anna Mathia Klawonn is an Associate Professor affiliated with three units at Aarhus University: the Danish Research Institute of Translational Neuroscience (DANDRITE), the Department of Biomedicine, and the Department of Molecular Biology and Genetics - Neurobiology. As a group leader at DANDRITE, she explores neural circuits and immune-to-brain signaling mechanisms regulating affective states through transgenic strategies and neurocircuitry techniques. Neuroscience Neuroimmunology Immune-to-Brain Signaling Affective Disorders Her research focuses on understanding how brain circuits and glial cells (microglia and astrocytes) contribute to affective states in both health and disease. Current projects investigate mechanisms in major depressive disorder and Parkinson's disease, emphasizing prostaglandin signaling, nicotinic receptor function, and striatal neuron modulation. Recent publications highlight her work in molecular neuroscience, neuropharmacology, and behavioral neuroscience. Key themes include cholinergic transmission in motivation, neuroimmune interactions in aversion, and reward/aversion circuitry. Her studies employ advanced neurocircuitry methods and transgenic models. In teaching, Klawonn is course responsible for the 3rd-semester Neuroscience course (10 ECTS) in the medical bachelor program. She actively engages in didactic development, frequently speaking about student motivation, flipped learning, and challenge-based learning. Klawonn leads the Klawonn Group at DANDRITE, with lab and office spaces in the Skou Building (Høegh-Guldbergs Gade 10, Aarhus C). Her work involves collaborations across neuroscience, neuroimmunology, and affective disease research.

Jesper Fels BirkelundView profile

Assistant Professor

• Education Policy
• Ethnic Inequalities
• Social Mobility
• +4 more

Jesper Fels Birkelund is a Tenure Track Assistant Professor at the Department of Sociology, University of Copenhagen. His research focuses on education systems, ethnic inequalities, and social mobility, leveraging advanced statistical methods on register and survey data. He teaches courses such as Basic Statistics, Sociology in Danish Society, and Advanced Welfare, Inequality, and Mobility. His work has been published in journals like Social Forces and European Sociological Review . His research on education examines how schooling impacts cognitive and social-psychological skills, influencing long-term labor market outcomes. He has shown vocational training enhances conscientiousness, yielding earnings comparable to academic tracks. In ethnic inequality studies, he analyzes high aspirations among immigrant students despite poor academic performance, proposing counterfactual models to assess systemic challenges for minority students. In social mobility research, he explores how parental resources (human, cultural, social, economic capital) shape children’s career trajectories, particularly when parents and children share the same field of study. He uses firm linkage data to study mechanisms like parental networks and inherited family businesses. Awards: 2022 ECSR Prize for Best PhD Thesis Teaching: Basic Statistics (BA), Sociology in Danish Society (BA), Education and Social Inequality (BA/MA), Advanced Welfare, Inequality, and Mobility (MA) His work integrates micro-class approaches with intergenerational transmission theories, contributing to debates on educational policy and labor market equity. Office hours for Spring 2025: Monday 15:00–16:00 in room 16.0.57.

Daniel HershcovichView profile

Assistant Professor

• Natural Language Processing
• Machine Learning
• Cultural Adaptation in NLP
• +4 more

Daniel Hershcovich is a Tenure Track Assistant Professor at the Department of Computer Science (Faculty of Science, University of Copenhagen) specializing in Natural Language Processing and Machine Learning . His research focuses on cross-cultural adaptation of language models, integrating human values into AI, and analyzing food-related cultural narratives for sustainable diets. Education: Ph.D. in Computational Neuroscience from Hebrew University of Jerusalem B.Sc. in Mathematics and Computer Science from Open University of Israel Recent publications highlight his work on multimodal models (haptic captioning, visual assistants for the blind), historical text analysis (Danish/Norwegian literature, euphemism detection), and cross-cultural NLP (recipe adaptation, cultural value alignment, climate awareness). His projects frequently combine AI ethics with domain-specific applications like food studies, historical linguistics, and accessibility research. Key collaborative networks include institutions in Denmark, Israel, and international partnerships through conferences like ACL, EMNLP, and workshops on cross-cultural NLP. The NLP section at DIKU serves as his primary affiliation for these efforts.

Andrea BurattinView profile

Associate Professor

• Process Mining
• Business Process Management
• Petri Nets
• +6 more

Andrea Burattin is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark. His work bridges formal methods and practical process analysis, focusing on process mining, business process management, and hybrid modeling techniques. He actively contributes to research in healthcare process optimization, streaming data analysis, and system verification through Petri nets and CCS transformations. UN Sustainable Development Goals: Poverty eradication, environmental protection, and prosperity for all (via process optimization) Active projects: Immersive Process Mining (2024-2027), Usability and Understandability of Hybrid Process Models (2018-2021) His research explores large language model integration with process mining, proposing frameworks like Tiramisù for multi-faceted process visualization and PN2CCS for formal model translation. Recent work emphasizes real-time monitoring, conformance checking, and IoT-driven process analytics. Key trends in his publications include: 1) Streaming process mining pipelines (2022-2025); 2) LLM-plan generation frameworks (2024); 3) Formal verification techniques (Petri nets, CCS); 4) Healthcare process modeling (2019-2023); 5) Behavioral pattern analysis in process compliance. Scientific Awards Best Demo Award (2022, 2016) Best Process Mining Dissertation Award (2014) Best Workshop Paper (EDBA and PODS4H, 2023) As advisor, he supervises PhD projects on process mining and hybrid modeling. His editorial roles include Information Systems reviewer (2024-2025) and past editor for Engineering Applications of AI (2022-2023). Collaborations span Denmark, Italy, and the Netherlands.

Ditte Alexandra Winther-LindqvistView profile

Professor

• Educational Psychology
• Early Childhood Education
• Pedagogy of Care
• +5 more

Ditte Alexandra Winther-Lindqvist is a Professor at the Danish Institute of Education (Aarhus University), specializing in Educational Psychology. Her work focuses on early childhood education, pedagogy of care, play theory, and grief psychology, with a strong emphasis on sustainability and ethical practices in educational settings. Research Interests: Ethics of care, pedagogy, children's wellbeing, play dynamics, grief in educational contexts, and sustainable development goals. Projects: Leads the UNESCO CHAIR initiative 'Supporting Early Years Care and Education' (2022–2027) and contributes to 'Strengthening pedagogical care in daycare institutions' (2024–2027). Scientific Awards: Recipient of the 2023 Award for best practice in School-Based Family Counseling for ‘Green transition and Worldcare in ECEC’. Collaborations: Active in international networks, including the International Society for Theoretical Psychology (ISTP) and the International Play Association, Denmark.

Christian Erik KampmannView profile

Associate Professor

• System dynamics analysis
• Sustainable energy development
• Electric mobility
• +1 more

Christian Erik Kampmann is an Associate Professor at the Department of Strategy and Innovation, Copenhagen Business School. He holds a Ph.D. in Management from MIT and an engineering background from DTU, bridging technical rigor with socio-economic research. Education: MIT (Ph.D. in Management), DTU (Engineering) Research Interests focus on system dynamics as applied to sustainable energy transitions, electric mobility, and green urban mobility. His methodological work enhances structural dominance analysis and eigenvalue techniques for complex system modeling. Recent publications address feedback loop gains, market misperceptions of feedback, and comprehensive analytical approaches for policy modeling, reflecting his interdisciplinary focus on sustainability challenges. Teaching includes courses on system dynamics, sustainable business strategy, and quantitative business research, with supervision of theses on electric mobility and product-service sustainability. External engagements involve board membership (Magasin du Nord, 2018-2020) and computer modeling consultancy (Zerolytics, Whitebox).

Derek BeachView profile

Professor

• EU Integration Processes
• Process Tracing Methodology
• Voter Behavior
• +7 more

Derek Beach is a Professor at the Department of Political Science, Aarhus University. His expertise lies in advancing process tracing methodology for academic research and policy evaluation, with a focus on European integration processes, voter behavior, and case study methods. He is currently leading a four-year project on Mechanisms and Mechanistic Evidence in the Social Sciences. Research Interests: Beach specializes in methodological development of process tracing, applying it to both academic and policy contexts. His substantive research explores EU crisis negotiations, the role of analogical reasoning in policy analysis, and evidential pluralism in social science research. He has co-authored a textbook on foreign policy analysis and process tracing in Danish. Collaborations & Consultancy: Beach collaborates with the Wellbeing Investments in Schools and Enterprises (WISE) project at the University of Birmingham and has worked with the World Bank's Independent Evaluation Group and the Joint Data Center (World Bank/UNHCR) on policy evaluations. His consultancy work spans UN agencies and global institutions. Teaching: He teaches across all levels (BA to PhD), including courses on Methods, US Presidential Election Simulation Models, and Case-Based Methods. His pedagogical focus aligns with his methodological research, emphasizing process tracing and evaluation techniques. Publications & Contributions: His scholarly work includes foundational texts on process tracing and empirical studies on EU integration. He has contributed to journals like European Journal of Political Research , Synthese , and Sociological Methods & Research , though specific publication years are not listed in the provided data.

Sabrina EbbersmeyerView profile

Professor

• Renaissance Philosophy
• Modern Philosophy
• Feminist History of Philosophy
• +6 more

Sabrina Ebbersmeyer is a Professor of Philosophy and Head of the Philosophy Section at the Department of Communication, University of Copenhagen. She specializes in Renaissance and modern philosophy with a focus on feminist history of philosophy, women philosophers, and emotion theory. Her work bridges historical scholarship with contemporary philosophical concerns about gender and knowledge production. Professor Ebbersmeyer's educational background includes: Postdoctoral thesis (Habilitation) in Philosophy, LMU Munich (2008) PhD (Dr. phil.) in Philosophy, Hildesheim University (1999) Diploma in Cultural and Educational Studies, Hildesheim University (1993) Her research primarily focuses on Renaissance and modern philosophy, with special interest in the philosophy of mind regarding emotions and cognition (examining thinkers from Plato and Aristotle through Ficino, Telesio, Descartes, Elizabeth of Bohemia, and Leibniz). She has made significant contributions to recovering women philosophers' works, particularly Christine de Pizan, Isotta Nogarola, Arcangela Tarabotti, Birgitte Thott, and Elizabeth of Bohemia. Currently, she researches female intellectuals in the Enlightenment, Birgitte Thott's moral philosophy, and the feminist potential of Stoic thought. Her recent publications reveal a consistent focus on recovering women's philosophical contributions within the European intellectual tradition. The articles demonstrate interdisciplinary approaches combining history of philosophy, gender studies, and intellectual history. A significant trend is the examination of how women philosophers engaged with classical traditions while developing original thought, particularly in emotion theory and moral philosophy. Her work shows how these historical insights can inform contemporary philosophical discussions about gender, knowledge, and rationality. Scientific awards: Einar Hansen's Research Foundation: Prize for Outstanding Humanistic Research (2023) Professor Ebbersmeyer leads two major research projects: "Women in the Nordic Enlightenment (WHENCE)" funded by the European Research Council (2024-2028), and "How to be Happy in Times of Turmoil?" funded by the Augustinus Foundation (2023-2024). She has established the Center for Interdisciplinary Research on Women in the History of Philosophy (INSPIRE) and co-founded the CEMES research group "Thinking the European Republic of Letters." She also directs the Women-mentoring-women-in-philosophy program for female employees and students in philosophy. She serves on the scientific committee of "Rivista di storia della filosofia" (2018-) and the international advisory board of "Rivista di filosofia" (2023-2028). Previously, she served as president of the European Society for Early Modern Philosophy (2019-2022) and was a member of the board of the Network for Women and Non-Binary in Philosophy (2017-2019).