Dr. Sebastian Bjerregaard Simonsen is a Senior Researcher at DTU Space, Technical University of Denmark, specializing in glaciology, remote sensing data assimilation, and cryospheric dynamics. His work leverages satellite altimetry (CryoSat-2, Sentinel-3) to quantify ice sheet changes, with a focus on Greenland and Antarctic regions. Research Themes: Ice sheet surface processes, meltwater dynamics, firn compaction, climate modeling, and subglacial hydrology. Supervision: Major supervisor for PhD candidates Astrid Puggaard (2022–2026), Nicolaj Hansen (2019–2023), and Nicolaj H. Andersen (2017–2023). Collaborations: Partners with European Space Agency, PROMICE project, and international teams studying ice sheets. Notable Contributions: Development of Greenland gravitational mass balance datasets (2024), editorial work at Geosciences (2017–2018), and field campaigns in Greenland and Svalbard totaling over a year in the high Arctic. His research aligns with UN Sustainable Development Goals, particularly SDG 13 (Climate Action). Recent publications emphasize radar altimetry, surface roughness, and spatiotemporal density distribution in ice sheets.
Nicki Skafte Detlefsen serves as an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), specializing within the Cognitive Systems research section. His institutional affiliation includes the Richard Petersens Plads campus in Kgs. Lyngby, Denmark, with primary research activities centered on advanced machine learning methodologies. Dr. Detlefsen's research program focuses on deep learning architectures for representation learning, particularly emphasizing invariant representations through inductive bias incorporation. His work spans protein sequence analysis using generative models, temporal alignment networks for time-series data, and stochastic representation frameworks via Laplacian autoencoders. Key contributions include developing methods for predictive uncertainty estimation and addressing suboptimal performance in biological sequence modeling, with strong connections to computational biology and neural network theory. Analysis of his 2019-2025 publications reveals an evolving research trajectory from foundational representation learning techniques toward broader AI ecosystem development. Early work centered on protein sequence modeling and temporal alignment algorithms, culminating in high-impact publications like the Nature Communications paper on protein representations. His most recent 2025 publication demonstrates strategic expansion into European HPC/AI infrastructure development, indicating a shift toward large-scale collaborative AI initiatives while maintaining core expertise in representation learning. No formal scientific awards or fellowships are documented in the source material. Dr. Detlefsen completed his PhD at DTU in 2020 under Søren Hauberg's supervision through the "Deep Metric Learning" project (2017-2021), which received significant academic attention with 328 Orbit downloads and coverage by 6 news outlets. His current research appears institutionally funded through DTU's Cognitive Systems section, with emerging involvement in pan-European AI infrastructure projects as evidenced by the 2025 HPC/AI ecosystem publication. He operates within DTU's Cognitive Systems research environment, collaborating extensively with Søren Hauberg, Ole Winther, and international researchers. His work shows strong interdisciplinary connections between computer science, bioinformatics, and neural engineering, with recent expansion into AI policy and infrastructure development through European collaborative networks.
Anders Bjørn is an Assistant Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), affiliated with the Quantitative Sustainability Assessment Centre for Absolute Sustainability. His work focuses on absolute environmental sustainability assessments, life cycle analysis (LCA), and planetary boundaries frameworks. He actively supervises PhD students in areas such as green energy transitions, bio-based solutions, and biodiversity in construction. His research explores the intersection of corporate sustainability targets, carbon accounting, and planetary boundaries. Notable projects include developing methodologies for aggregating regional data to global scales, evaluating waste-to-energy technologies in Thailand, and advancing science-based target setting for cities and companies. He has contributed to over 80 publications in journals like Sustainable Production and Consumption and Nature Sustainability . Education: Not explicitly detailed in the text. Research Themes: Climate change mitigation, circular economy, renewable energy systems, and environmental policy. His recent articles emphasize improving the rigor of corporate climate targets, addressing temporal challenges in long-lived systems, and aligning urban-industry collaboration with planetary limits. He advocates for transparent carbon accounting practices and the integration of absolute sustainability criteria in lifecycle assessments. Advising and grants: Active supervisor in 5+ ongoing PhD projects and co-PI on initiatives like the 24/7-CFE carbon-free energy platform. Projects often involve interdisciplinary teams addressing global sustainability challenges.
Sune Hannibal Holm is an Associate Professor in Philosophy at the University of Copenhagen's Department of Food and Resource Economics, specifically within the Section for Consumption, Bioethics and Governance. He holds a Ph.D. from the University of St. Andrews (UK) and has established himself as a leading scholar at the intersection of philosophy, ethics, and emerging technologies. Holm co-directs the Trustworthy AI Lab and serves on the scientific committee of the European Workshop on Algorithmic Fairness (EWAF), demonstrating his significant contributions to the field of AI ethics. His educational background includes: Ph.D. from the University of St. Andrews (2006) Cand. Mag. from University of Copenhagen (2000) M.Litt. from University of St. Andrews (1998) B.A. from University of Copenhagen (1997) Holm's research spans multiple interconnected domains including the ethics of artificial intelligence, philosophy of biology, and bioethics, with particular focus on synthetic biology and the machine-organism analogy. His work examines privacy, autonomy, transparency, responsibility, and discrimination in AI systems, while also exploring foundational questions in moral theory related to risk imposition and the precautionary principle. He has published extensively on the moral status of organisms in light of synthetic biology advancements and has contributed to interdisciplinary work on CRISPR/Cas9 technology ethics. Analysis of his publication record reveals consistent thematic development across two decades, with early work focusing on philosophical foundations of biology and ethics gradually expanding to address contemporary challenges in AI. His recent scholarship demonstrates increasing engagement with practical applications and policy implications, particularly regarding algorithmic fairness and trustworthy AI systems. The interdisciplinary nature of his work bridges humanities, social sciences, and technical domains, creating valuable dialogue between theoretical philosophy and real-world technological challenges. Holm has successfully secured research funding, most notably serving as Principal Investigator for the DFF2-project 'Living Machines?' (2016-2020), which examined philosophical issues relating to the machine-organism analogy. He is an experienced supervisor at BA, MA, and PhD levels, contributing significantly to academic training in philosophy and ethics. His leadership extends to co-directing the Trustworthy AI Lab, which focuses on developing ethical frameworks for AI implementation in healthcare and other critical domains. Within his institutional context, Holm actively participates in multiple research networks and collaborative projects addressing the ethical dimensions of emerging technologies. His work bridges academic research with public policy engagement, as evidenced by numerous media appearances and contributions to public discourse on AI ethics. The European Workshop on Algorithmic Fairness committee membership further demonstrates his standing in the international research community focused on responsible technology development.
Oluf Danielsen serves as a Part-time Lecturer in the Department of Communication and Arts at Roskilde University, Denmark, with contact details including phone (+45 4674 3806) and email (oluf@ruc.dk). His work bridges academic research and public discourse through 30 press/media engagements from 2005-2022, including commentary on nuclear energy solutions during the 2022 energy crisis. His educational credentials include Dr. comm. (Doctor of Commerce), MSc in Engineering, Lic. Techn. (Licentiate of Technology), and PhD. These qualifications underpin his interdisciplinary approach spanning engineering, business administration, and communication sciences. Danielsen specializes in environmental and energy communication with emphasis on risk perception, organizational dynamics, and climate policy discourse. His research examines how media framing influences public understanding of climate change, particularly through longitudinal analysis of Danish climate debates (1988-2012). He advocates for hope-based communication strategies over fear appeals, arguing that constructive narratives better mobilize public engagement with environmental issues. His 52 research outputs reveal consistent focus on climate communication trends, with publications clustering around three thematic pillars: (1) media analysis of climate discourse fragmentation, (2) organizational communication challenges in cultural institutions like museums, and (3) pedagogical frameworks for problem-oriented learning. Recent works increasingly address energy transition narratives and youth climate activism contexts. No scientific awards were documented in the provided materials, though his external committee memberships indicate professional recognition. Danielsen's research leadership includes three major projects: 'Multiplicity of time scales' (2019-2020) examining temporal challenges in science communication, 'Learning 2.0' (2008-2014) on digital literacies, and 'Klimadebatten i Danmark i en international kontekst' (2008-2012) analyzing Denmark's climate debate within global frameworks. His 2012 publication on supervision methodologies demonstrates active engagement with graduate education despite no named students appearing in the record. While no dedicated research labs or teams are specified, his collaborative projects involved cross-institutional partnerships including the Danish Board of Technology and multiple university departments, suggesting networked research approaches within Roskilde University's organizational structure.
Constanza Catalina Fierro Mella is a PhD Fellow and Postdoc in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen's Faculty of Science. Her research bridges computational linguistics with philosophical inquiry into knowledge representation in language models. Her primary research interests include Multilingual Language Models , Knowledge Representation , Mechanistic Interpretability , and Cross-cultural NLP . Fierro's work examines how language models remember and represent facts across languages, with particular attention to the epistemological foundations of artificial intelligence. Her publication record shows a strong focus on understanding the inner workings of language models, with recent papers exploring how multilingual models remember facts, the intersection of philosophy and mechanistic interpretability, and knowledge representation in large language models. Her research often involves collaboration with Anders Søgaard and other members of Copenhagen's NLP group. Fierro has received significant attention for her work, with papers like 'Challenges and Strategies in Cross-Cultural NLP' garnering over 100 citations. Her research spans both theoretical foundations and practical applications of natural language processing. She has contributed to diverse areas including multimodal learning (investigating connections between vision and language models), healthcare applications (predicting hospital readmissions), and historical document analysis (date recognition in parish records).
Axel Ahrens is an Assistant Professor in the Department of Health Technology at the Technical University of Denmark (DTU), specializing in Hearing Systems. His research focuses on audiovisual perception, virtual reality environments, and speech perception in complex acoustic scenes. He holds a PhD in audiology from DTU, completed between 2014 and 2019, under the supervision of Professor Torsten Dau. Key research areas include: Audio-visual scene analysis in virtual reality Spatial audio and sound localization Effects of noise on decision-making in group interactions Speech perception in multitalker environments Human behavior in reverberant acoustic settings Applications of beamformer technology in hearing aids Recent work emphasizes the interplay between auditory and visual cues in complex environments, with notable studies on how noise impacts triadic conversations and decision-making outcomes. He currently supervises PhD students in projects like 'Speech Intelligibility in Realistic Listening Environments' (2024-2027) and 'Interpersonal Temporal Dynamics of Group Interaction' (2023-2026). Ahrens actively contributes to academic activities, including peer reviewing for journals like Hearing Research and Journal of the Acoustical Society of America , and organizing workshops on communication dynamics. His work aligns with UN Sustainable Development Goals related to health and innovation. Labs/Teams: Hearing Systems Section at DTU Health Tech.
Mette Skov is an Associate Professor at Aalborg University's Department of Communication and Psychology, within the Faculty of Social Sciences and Humanities. She leads the CHAP research group (Challenges and Movements in Performing Digitalization) and is part of the Purposeful Technology Lab. Her work focuses on human interaction with information systems, including digital museum visitors, student information practices, and casual leisure information needs. She teaches qualitative methods and information behavior in the Communication and Digital Media program and coordinates the IT Master's module on Behavior and Awareness. Her research spans digital cultural heritage, user experience design, and interactive information retrieval. Notable projects include 'Venner med Naturen' and contributions to cybersecurity education via the CLEAR initiative. She serves on the ISIC Steering Committee (2024–2030) and the Institute Council at her department. Research Trends: Recent work emphasizes AI applications in retrieval (e.g., LLMs for leisure search) and long-term digital heritage studies (e.g., Danish museum website evolution). She also explores educational technology, including virtual role models and digital learning tools. Awards: Best Poster Award at iConference 2016 Labs/Teams: CHAP Group, Purposeful Technology Lab Grants/Projects: 11 projects including cybersecurity initiatives and museum communication studies
Yova Radoslavova Kementchedjhieva is a Research Fellow in the Department of Computer Science at the University of Copenhagen, specializing in Natural Language Processing within the university's NLP research group. Her work bridges artificial intelligence, computer vision, and language technologies through interdisciplinary collaborations. Her research focuses on Natural Language Processing, Artificial Intelligence, and Computer Vision, with specific expertise in cultural adaptation of recipes, vision-language model alignment, fact mutability in language models, multi-label classification for legal/biomedical text, grammatical error correction, and image captioning. She employs advanced multimodal learning and neural network analysis techniques to address complex linguistic and visual challenges. Recent publications reveal strong trends in vision-language integration, including vector space alignment studies and geometric convergence between language and vision models. Her work demonstrates applications in cross-cultural communication systems, dynamic fact verification, neural response modeling, and lightweight image captioning architectures. She actively contributes to the Natural Language Processing research group at the University of Copenhagen, collaborating with researchers like Anders Søgaard on projects spanning computational linguistics, multimodal AI, and cognitive modeling of language systems.
Mossa Merhi Reimert is a Postdoctoral Researcher (Research Fellow) at the Department of Veterinary and Animal Sciences within the Faculty of Health and Medical Sciences, University of Copenhagen. Her work is centered in the Animal Welfare and Disease Control section, focusing on quantitative approaches to livestock disease management and prevention. Her research interests span veterinary epidemiology, disease modeling, animal disease transmission dynamics, spatial risk assessment, and animal welfare optimization. She employs advanced computational techniques to analyze disease spread patterns, emphasizing data-driven interventions for zoonotic and livestock-specific pathogens. Key methodological approaches include spatial modeling, social network analysis, and registry data mining to address critical challenges in Danish agricultural systems. Analysis of her 2024-2025 publications reveals a cohesive research trajectory centered on high-impact animal diseases: Highly Pathogenic Avian Influenza (HPAIV) transmission to cattle, Porcine Reproductive and Respiratory Syndrome (PRRS) in swine, and Salmonella control in dairy herds. Her work consistently integrates spatial-temporal modeling with practical intervention assessment, demonstrating strong alignment with national disease control priorities in Denmark. Scientific recognition includes: 1st prize for most innovative Datathon Project (August 2021), highlighting methodological innovation in data science applications for veterinary medicine While no formal student advising is documented in the provided materials, her collaborative publication patterns indicate active mentorship within research teams. Grant funding details are not specified in the source text, though her work clearly leverages national veterinary registries and collaborative frameworks. Her research operates within the Animal Welfare and Disease Control ecosystem at the University of Copenhagen, characterized by strong interdisciplinary collaboration across veterinary epidemiology, theoretical biology, and agricultural data science teams. Current projects emphasize real-world applicability through partnerships with Danish agricultural authorities and industry stakeholders.
Kristoffer Hougaard Madsen is a Professor at the Department of Applied Mathematics and Computer Science , Technical University of Denmark (DTU), specializing in Visual Computing and Cognitive Systems . His work focuses on brain function mapping using functional MRI (fMRI), with expertise in fMRI data analysis, study design, and noise reduction techniques. Education: Civil Engineer (Bioinformatics & Complex Systems) from DTU (2004) External Position: Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre (since 2008) His research spans neuroimaging , brain network modeling , and neuromodulation techniques like transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS). He supervises PhD projects on topics such as individual brain circuit modeling , cerebellum organization in schizophrenia , and cooperation behavior in children . Recent publications highlight his contributions to electric field optimization , time-dependent diffusion imaging for tumors, and high-resolution mapping of brain structures . His work aligns with UN Sustainable Development Goals related to health and well-being. He collaborates extensively with institutions like Copenhagen University Hospital and contributes to interdisciplinary research in neurodegenerative diseases (e.g., Parkinson’s, Multiple Sclerosis) and psychiatric disorders .
Anders Horsbøl is an Associate Professor at the Department of Communication and Psychology within the Faculty of Humanities and Social Sciences at Aalborg University . His research focuses on dialogue, participation, and citizen engagement in areas like environment/climate, politics, health , and green transition , grounded in communication theory, philosophy, discourse analysis , and media studies . Research Interests: Environmental and political communication Discourse analysis of climate and energy conflicts Mediated organizational communication Citizen participation in sustainability initiatives Multimodal discourse analysis Recent Article Trends: His publications (2020-2025) examine carbon capture debates , green imaginaries , energy transition conflicts , and participatory frameworks , with keywords spanning climate change, media studies, citizen engagement , and discourse analysis . Sub-fields include environmental conflict resolution, Power-to-X technology , and stakeholder communication . Projects: Current roles include Principal Investigator in DEEP (2024-2025) and COPPER (2024-2026), focusing on community collaboration in energy parks and citizen energy planning . His work aligns with UN Sustainable Development Goals for climate action and sustainable communities.
Christian Nikolai Sørensen is a Researcher at the Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Denmark. He holds an MSc in Statistics from Aarhus University and specializes in pharmacoepidemiology and registry-based research using Danish population data. Education: MSc in Statistics, Aarhus University His research focuses on immune-mediated inflammatory diseases, post-COVID complications, and adverse drug effects. He contributes to projects analyzing long-term risks in ulcerative colitis and post-COVID fatigue, leveraging large-scale Danish registries for epidemiological insights. Recent collaborative work includes studies on post-acute sequelae of SARS-CoV-2 infections and temporal trends in spondyloarthritis linked to inflammatory bowel disease. His expertise supports the Center for Molecular Prediction of Inflammatory Bowel Disease. He is affiliated with the Faculty of Medicine at Aalborg University, located at A.C. Meyers Vænge 15, 2450 København SV, Denmark. His work aligns with UN Sustainable Development Goals related to health and academic innovation.
Søren Bolvig Poulsen is an Associate Professor at Aalborg University's Department of Communication and Psychology, affiliated with the Faculty of Social Sciences and Humanities. He is a member of the InDiMedia (Interactive Digital Media & Experience Design) and MeET (Metaverse & Experience Technologies) research groups, and contributes to the SSH Children and Youth Research Network. His research focuses on strategic design, foresight methodologies, and the socioeconomic impact of emerging technologies. He explores how organizations can leverage design to navigate complex innovation challenges while prioritizing human values and societal needs. His work integrates humanistic perspectives to anticipate future technological implications and develop ethically responsible solutions. Poulsen also investigates innovative educational formats, emphasizing interdisciplinary collaboration and digital learning environments. He has led projects like Onboarding Extended Reality (XR) and Fintech Hackathon, demonstrating expertise in applying technology to solve real-world problems. His research spans design thinking, user-driven innovation, and service/experience design methodologies. He has collaborated on impactful projects, including developing medication-dispensing technologies for elderly care and exploring food-related behavior change in kindergartens. His work aligns with UN Sustainable Development Goals related to education, innovation, and sustainable healthcare systems.
Christian Skov is an Associate Professor at the National Institute of Aquatic Resources (DTU Aqua), specializing in Freshwater Fisheries Ecology . His research focuses on fish behavior, predation dynamics, telemetry tracking, and climate change impacts on freshwater ecosystems. Current projects: REWILD (marine rewilding), Lake Restoration , and Citizen Science Platforms . Active in Nordic and global fisheries management collaborations. Research Areas : Fish migration patterns, telemetry technology applications, predator-prey interactions, climate change adaptation, and sustainable recreational fisheries. His work aligns with UN Sustainable Development Goals 13 (Climate Action) and 14 (Life Below Water). Recent Publications (2025) address: Climate change effects on angler participation Citizens science data validation Telemetry-based behavior studies Ecosystem restoration strategies Advising : Supervises PhD students studying fish behavior and migration. Collaborations : International Council for the Exploration of the Sea (ICES) member since 2014. Labs : DTU Aqua Fish Behavior Lab, specializing in 3D telemetry and habitat use studies.
