Carsten Levisen is an Associate Professor at the Department of Communication and Humanities, Roskilde University. His research spans sociocultural linguistics, linguistic anthropology, and interdisciplinary studies in semantics, pragmatics, and discourse analysis. Key research areas include: Cultural Semantics Intercultural Pragmatics Postcolonial & Decolonial Linguistics Construction Grammar Green Semantics & Environmental Linguistics Visual & Color Semantics His recent publications focus on blue pragmatics, danger discourse, and postcolonial metalanguage. He collaborates internationally through the Natural Semantic Metalanguage research community and holds editorial roles in journals like Journal of Postcolonial Linguistics and Scandinavian Studies in Language . He has received fellowships such as the ANU Hansen Friendship Scholar (2025) and Senior Research Fellow at Hanse-Wissenschaftskolleg (2019-2020).
Markus Ibert is an Adjunct Assistant Professor at the Department of Finance , Copenhagen Business School , specializing in financial economics and institutional investing. His research explores investor behavior, asset pricing, and cryptocurrency dynamics. Research Focus : Institutional investors' expectations, portfolio strategies, and cryptocurrency markets. Recent Publications : Analyze equity return expectations, crypto asset drivers, and mutual fund manager behavior. Media Engagement : Frequently contributes insights on Bitcoin, interest rates, and financial markets to public discourse.
Claus Munk is a Professor at the Department of Finance , Copenhagen Business School . His work focuses on financial economics, asset pricing, life-cycle finance, and pension economics, aligning with UN Sustainable Development Goals related to economic sustainability and financial education. He has contributed extensively to journals, books, and public discourse through media engagements and policy analysis. Research Interests : Munk's research spans life-cycle consumption and investment strategies, pension product design, stochastic control in finance, and market dynamics under uncertainty. His studies address optimal savings, housing finance impacts, and the role of taxes in portfolio decisions. Publication Trends : His recent work (2023-2025) emphasizes pension economics, mandatory savings, and asset pricing with controllable risks. Earlier studies (2019-2022) focus on recession hedging, return predictability, and biometric risk mitigation through artificial insurance markets. Media Contributions : Munk has actively engaged with public discourse, analyzing Danish pension systems, housing habits, and financial market behaviors in media outlets like Børsen . He advocates for financial literacy and sustainable economic practices.
James Woodcock is a Professor in the Department of Electrical and Computer Engineering at Aarhus University, specializing in Software Engineering and Computing Systems. With over 200 research outputs and 11 completed projects, he focuses on Formal Verification, Cyber-Physical Systems (CPS), and Robotics. His work integrates Digital Twins, Model Checking, and Process Algebra to ensure system reliability. Key research areas: Formal Verification, Robotics, CPS, Digital Twins, Security Engineering Active collaborations: University of York, University of Liverpool, University of Bremen Recent projects include: UK Trustworthy Autonomous Systems Verifiability Node (2020-2024) RoboTest: Model-Based Testing of Autonomous Robots (2018-2023) His 2025 paper on BDI Agent Verification and 2023 State-of-the-Art Report on Verified Computation highlight his leadership in applying Formal Methods to Robotics and Security. Over 2005-2025, he has published extensively in CPS , Formal Verification , and Model-Based Design . Awarded prestigious titles including Chartered Engineer (2011) and Distinguished Researcher (2019), he has served as Editor, PhD Examiner, and Visiting Lecturer globally.
Uffe Sognstrup Thomsen serves as a Special Consultant within the Department of Biological and Chemical Engineering at Aarhus University, Denmark, with over 25 years of research activity documented through 22 publications since 1997. His work is centered on microbial corrosion challenges in North Sea oil production infrastructure, particularly water injection systems and offshore pipelines. Thomsen's research integrates molecular microbiology with engineering solutions, specializing in Microbiologically Influenced Corrosion (MIC) risk assessment through techniques like qPCR, RT-qPCR, and Next-Generation Sequencing. His expertise spans microbial community analysis, reservoir souring dynamics, phylogenetic studies of corrosion-causing microorganisms, and chemical treatment optimization for pipeline integrity. This interdisciplinary approach bridges petroleum engineering and environmental microbiology to address corrosion in harsh offshore environments. Analysis of his 2016-2022 publications reveals a consistent trajectory toward data-driven methodologies for extraneous water quantification and real-time MIC monitoring. His work demonstrates increasing sophistication in correlating microbial community structures with corrosion rates, particularly through field studies in the North Sea. Thomsen's research outputs show strong industry relevance with practical applications in oil field operations, evidenced by multiple presentations at NACE Corrosion Conferences and publications in petroleum engineering journals.
Thomas Stiehl is an Associate Professor at Roskilde University's Department of Science and Environment, specializing in mathematical modeling of stem cell dynamics and hematological malignancies. His research bridges computational biology with clinical applications in myeloproliferative neoplasms (MPN) and acute myeloid leukemia (AML). Research Focus : Stiehl develops mathematical models to study blood cell production, cancer progression, and treatment responses. Recent work includes: Feedback regulation impacts on leukemia dynamics Stem cell graft optimization for transplantation Computational analysis of MPN therapies Publications (2024) : His work appears in journals like Frontiers in Immunology , Scientific Reports , and Blood Cancer Journal , emphasizing clinical translatability and computational rigor. Academic Activities : Stiehl actively contributes to conferences including the 12th European Conference on Mathematical and Theoretical Biology (2022) and 2nd Nordic Biomathematics Days (2022).
Henriette Selck is a Professor at the Department of Science and Environment, Environmental Dynamics, Centre for Frustrated Molecular Interactions at Roskilde University. Her research focuses on aquatic ecology, invertebrate biology, pollution, and environmental risk assessment. 2003: PhD in Marine Deposit-Feeder Toxicology 1996: Master's in Environmental Biology and Geography Research interests include: Hydrophobic contaminants: Bioavailability, risk assessment, and sediment interactions Exposure route dynamics: Uptake, internal fate, and elimination of pollutants Benthic infauna role: Bioturbation effects on contaminant distribution Population-level risk assessment: Bridging individual toxicity effects to ecological impacts Recent publications (2023-2025) emphasize pharmaceutical pollution, microplastic exposure pathways, and copper nanoparticle toxicity. Her work combines field studies with laboratory experiments to improve environmental risk assessment frameworks. 2005: Short listed for CEFIC-LRI Innovative Science Award Professional activities include membership in Danish Universities Committee, NATO Environmental Security Panel contributions, and editorial roles. She supervises environmental biology masters students and teaches ecotoxicology courses.
Zhen Im is a Visiting researcher at Copenhagen Business School , affiliated with the Department of International Economics, Government and Business . Research interests span: Social Policy European Union Studies Labor Economics Political Economy Environmental Policy Sustainable Development Recent publications focus on: Green transitions and industrial decarbonisation Employment dynamics and crime perception EU social policy through parental leave rights Redistribution preferences in Nordic welfare systems Regional employment declines in carbon-intensive industries
Trine Pagh Pedersen is a Senior Researcher at the National Institute of Public Health (Statens Institut for Folkesundhed), University of Southern Denmark, specializing in child and adolescent health research. She serves as Project Manager for the Child Health Database collaboration (Databasen Børns Sundhed) established in 2008 and contributes to the long-running Schoolchildren Study (Skolebørnsundersøgelsen) initiated in 1984. Her work bridges research, municipal health services, and public health policy through extensive use of health visitor documentation systems. Dr. Pedersen's research focuses on child and adolescent health and well-being, with particular expertise in mental health, immigrant health, public health surveillance, and early childhood development. Her work leverages the extensive Child Health Database which collects health visitor observations from birth through school age, examining critical areas including body mass index trajectories, life satisfaction, school satisfaction trends, and health disparities related to socioeconomic status. She employs advanced regression analysis techniques to identify patterns and associations in large population datasets spanning decades. Her recent publications (2024-2025) demonstrate consistent focus on childhood health inequalities, early intervention strategies, and the role of health visitors in municipal health systems. Analysis of her 15 most recent articles reveals strong emphasis on longitudinal data analysis (1991-2025), with particular attention to socioeconomic gradients in health outcomes, gender differences in health behaviors, and critical developmental periods from infancy through adolescence. The research consistently bridges quantitative epidemiology with practical public health applications. Through her leadership in four active research projects and 27 documented activities including talks and workshops, Dr. Pedersen actively engages with both academic and practical health service communities. Her work has generated significant media attention with 31 press/media appearances, particularly regarding child poverty interventions and overweight prevention in young children, demonstrating her commitment to translating research into public health practice.
Katherine Richardson is a Professor in Biological Oceanography at the University of Copenhagen’s Globe Institute (Faculty of Health and Medical Sciences) and leads the Queen Margrethe and Vigdís Finnbogadóttir’s Interdisciplinary Research Centre on Ocean, Climate, and Society (ROCS). She co-developed the Planetary Boundaries Framework and co-PIs the Center for Macroecology, Evolution and Climate (CMEC). Her research spans marine plankton, climate-ocean interactions, and sustainability science. D.Sc., University of Copenhagen (2020) Ph.D., University of North Wales, U.K. (1980) B.A., Harvard University (1976) Her research integrates biological oceanography with Earth system science, focusing on carbon cycling in marine ecosystems, climate change impacts on aquatic productivity, and sustainable societal transformation. She has led major international projects like the Galathea 3 expedition and EU’s ECOTIP. Her work bridges marine ecology, policy, and education. Recent publications emphasize planetary boundaries, marine eutrophication, and climate-ocean feedbacks. She has received eight major awards, including an honorary doctorate and Danish knighthoods. She has supervised over 20 PhD and 50 Masters students, and co-created two MOOCs with 82,000+ participants. Marshall Fellowship (1976) Frøken Marie Lønggaards Rejselegat (2004) Knight of the Dannebrog (2011) Ellen og Hans Hermers Legat (2015) Galathea Medal (2016) Ebbe Muncks Hæderspris (2019) Knight of Dannebrog 1st Degree (2021) Honorary Doctor at UiT The Arctic University of Norway (2022) She co-edits Marine Ecology Progress Series and has participated in 70+ research cruises. Current funding includes EU H2020’s ECOTIP (DKK 1.498M) and Carlsberg Foundation’s ROCS (DKK 20M).
Marleen de Bruijne is Professor of AI in Medical Image Analysis jointly appointed at the University of Copenhagen, Denmark and Erasmus MC – University Medical Center Rotterdam, The Netherlands. Within the Department of Computer Science at Copenhagen she belongs to the Image Analysis, Computational Modelling and Geometry section, where she leads research at the intersection of machine learning and medical imaging. Education MSc in Physics, Utrecht University, 1997 PhD in Medical Imaging, Utrecht University, 2003 Research Interests Her work centers on developing and validating machine-learning algorithms for quantitative analysis of medical images. Key themes include: Transfer learning and domain adaptation across imaging centers Deep learning architectures for segmentation and classification of pulmonary, cardiovascular and neuro images Probabilistic graphical models and Bayesian approaches for robust airway and vessel extraction Computer-aided diagnosis systems for emphysema, bronchiectasis, COPD and calcification Her group translates these techniques into clinical workflows to improve early diagnosis and patient management. Scientific Awards NWO-VENI (Netherlands Organisation for Scientific Research) NWO-VIDI NWO-VICI DFF-YDUN (Danish Council for Independent Research) Advising & Grants She has (co-)supervised 30 PhD students to completion and served as principal investigator on several large personal grants. Her funding record demonstrates sustained support from both Dutch and Danish national science foundations. Labs & Teams She is actively involved in the SCIENCE AI Centre at the University of Copenhagen and maintains strong collaborative links with Erasmus MC Radiology and Pulmonology departments, fostering cross-institutional datasets and multicenter clinical validation studies.
Benjamin Sommer Thinggaard is a Visiting Researcher affiliated with the University of Southern Denmark's Faculty of Health Sciences and Department of Ophthalmology. His work focuses on neovascular age-related macular degeneration (wet AMD) and diabetic retinopathy, integrating clinical research with artificial intelligence applications. He completed his Ph.D. in 2025, which addressed patient-reported barriers in anti-VEGF treatment pathways. Research themes include quality of life assessments, treatment adherence, and safety profiles for intraocular therapies He contributes to multidisciplinary studies linking retinal disease with systemic health outcomes Active in clinical trials and nationwide registry analyses across Nordic countries Recent publications demonstrate technology-enhanced clinical assistance systems and comprehensive evaluations of AMD's societal impact. He maintains membership in professional organizations like Dansk Oftalmologisk Selskab and EURETINA, with frequent conference participation since 2022.
Adrián Avelino Sousa-Poza is a Researcher at the Department of Computer Science , University of Copenhagen, specializing in Machine Learning and its applications across diverse domains including Artificial Intelligence , Medical Data Analysis , and Quantum Computing . His research intersects with the SCIENCE AI Centre , focusing on both theoretical and applied aspects of machine learning. Recent work explores environmentally sustainable AI , quantum-enhanced models , and cross-cultural adaptation systems , reflecting his interdisciplinary approach. Key themes in his publications include large language models , quantum computing applications , and healthcare informatics , with a particular emphasis on interpretability , fairness , and hardware optimization in AI systems.
Ian Walter Orzel is a PhD Fellow in the Machine Learning section at the Department of Computer Science, University of Copenhagen . He is affiliated with the SCIENCE AI Centre and contributes to interdisciplinary research bridging machine learning with quantum computing, healthcare diagnostics, and environmental sustainability.
Simon Krogh Anderson serves as a Lecturer at the Department of Computer Science (DIKU), Faculty of Science, University of Copenhagen. He is an active member of the Machine Learning section which focuses on theoretical foundations and applications across domains including natural language processing, medical image analysis, and biological data modeling. The department participates in the SCIENCE AI Centre and maintains powerful compute resources including the TreeSense platform for remote sensing. His research spans multiple cutting-edge areas in artificial intelligence with particular emphasis on machine learning, quantum computing applications, and algorithmic fairness. Key interests include sustainable AI development, reproducibility in recommender systems, and cross-cultural adaptation frameworks. His work often bridges theoretical computer science with practical applications in environmental monitoring, healthcare analytics, and quantum information processing. Recent publications demonstrate strong interdisciplinary connections across quantum computing, sustainable AI, and fairness metrics. Trends show increasing focus on environmentally conscious AI development, integration of quantum methods with classical machine learning, and ethical considerations in recommendation systems. His work frequently leverages Denmark's extensive health registries and environmental data resources. Anderson actively contributes to the department's research ecosystem through teaching and collaboration within the Machine Learning section. While specific grants aren't detailed in available materials, his publications indicate involvement in projects related to quantum computing infrastructure, environmental monitoring systems, and AI ethics frameworks. The department provides significant computational resources including a dedicated cluster and specialized labs like TreeSense for remote sensing applications. His work appears connected to the SCIENCE AI Centre's initiatives in sustainable computing and quantum information processing.
