Find Academic Supervisors

• Epidemiology
• Public Health
• Infectious Disease Modeling
• +3 more

Helen Louise Coupland is a Guest Researcher at the Department of Public Health, University of Copenhagen, affiliated with the Section of Epidemiology and Copenhagen Health Complexity Center. Her work focuses on computational epidemiology and public health research using advanced modeling techniques. Her research spans multiple domains: Epidemiological Modeling: Developing computational frameworks for infectious disease transmission Public Health Analytics: Applying data science to health policy evaluation AI Applications: Utilizing deep learning for longitudinal health analysis Complex Systems: Investigating health through complexity science approaches Her publication record demonstrates extensive work in pandemic response analysis, particularly COVID-19 modeling across multiple countries and populations. Recent research explores the intersection of artificial intelligence and life course epidemiology, indicating a methodological evolution toward more complex computational approaches in public health. Her collaborative works frequently appear in high-impact journals including Science, Nature Communications, and The Lancet Global Health. Helen contributes to the Copenhagen Health Complexity Center, focusing on systems approaches to public health challenges. Her work involves large-scale collaborative projects analyzing epidemiological patterns across different geographic and demographic contexts.

• Computational Geometry
• Image Analysis
• Stochastic Geometry
• +5 more

Hans Jacob Teglbjærg Stephensen serves as a Special Consultant in the Department of Computer Science within the Faculty of Science at the University of Copenhagen. His research focuses on Image Analysis, Computational Modelling and Geometry, with significant contributions spanning mathematical theory and biomedical applications. His institutional email address (hast@di.ku.dk) and physical location at Universitetsparken 1, 2100 København Ø confirm his active affiliation with the university. Stephensen's research interests center on computational geometry, mathematical imaging, and stochastic modeling, with notable applications in neuroscience. His work bridges theoretical mathematics with practical biomedical applications, particularly in cellular and subcellular structure analysis. His publications demonstrate expertise in developing geometric models for complex biological systems and creating novel mathematical frameworks for image analysis. His publication record from 2021-2024 reveals a strong trajectory with high-impact work in both mathematical journals and top-tier biomedical publications. The 2024 Nature Biotechnology paper on glial progenitor cells demonstrates significant translational impact, while his mathematical works in journals like Journal of Mathematical Imaging and Vision establish theoretical foundations. His research shows a clear progression from theoretical geometric models to applications in neuroscience, with increasing collaboration with biomedical researchers. Stephensen completed his PhD thesis titled 'Geometrical Models and Stochastic Geometry of Subcellular Structures' in 2021 through the University of Copenhagen's Department of Computer Science. His work has garnered significant attention, with several publications picked up by multiple news outlets and shared across social media platforms including X (formerly Twitter) and Facebook. The 2024 Nature Biotechnology paper alone was covered by 25 news outlets and shared by 181 X users, indicating substantial scientific impact and public interest in his research.

• Choreomusicology
• Dance Science
• Social Dance
• +3 more

Inger Vinther Damsholt serves as Associate Professor in the Department of Arts and Cultural Studies at the University of Copenhagen's Faculty of Humanities. Her academic profile includes active research output, teaching responsibilities, and public engagement through media contributions. Contact details list phone +4535333093 and email idams@hum.ku.dk, with institutional affiliation at Karen Blixens Vej 1, 2300 Copenhagen S. Her research centers on choreomusicology —examining dance-music relationships—with seminal publications including "Identifying 'choreomusical research'" (2018) and "The Dance" (2020). She has pioneered studies in Nordic social dance communities post-1950, culminating in the 2020 Dance Research Journal special issue "In and Out of Norden." Her 2018 book Viden om Dans: En grundbog establishes foundational dance science frameworks, while her work bridges historical analysis with contemporary performance practices across Denmark and Scandinavia. Recent publications (2018-2020) reveal three dominant scholarly trajectories: (1) Nordic cultural identity through dance (e.g., "Brudevals', 'Danishness' and Lived Reality"), (2) migratory dance phenomena (special issue co-editorship), and (3) somatic-creative movement interfaces. These intersect with anthropology, sound studies, and cultural heritage preservation, demonstrating methodological diversity from ethnographic analysis to theoretical framework development. Damsholt actively supervises and teaches musicology with dance specialization, covering dance theory, analysis, and history. Her public scholarship extends through 28 media engagements including Politiken commentary (e.g., 2013 "Harlem Shake cultural appropriation" analysis) and P1 radio features on dance anthropology. She has delivered invited lectures on Danish dance history from medieval times to contemporary practice, highlighting applied research impact beyond academia.

• Social Network Analysis
• Legal Informatics
• Data Science
• +3 more

Ioannis Panagis serves as a Data Specialist at the iCourts Centre of Excellence for International Courts and Governance within the Faculty of Law at the University of Copenhagen. Holding a PhD in Computer Engineering from the University of Patras, he bridges computational methodologies with legal scholarship through interdisciplinary research in legal network analysis and data science applications. Education: PhD in Computer Engineering, University of Patras Research Focus: Panagis specializes in social network analysis of legal citation systems, particularly within European Union law, and develops data science techniques for legal text analysis. His work integrates computer science principles with jurisprudence to examine case law structures, judicial influence patterns, and digital platform regulation. Key methodologies include network metrics, text similarity algorithms, and cloud-based processing of legal datasets. Research Evolution: His publication trajectory (2015-2023) demonstrates progression from foundational studies on EU case law citation networks toward advanced computational approaches. Early work established frameworks for multi-dimensional legal network analysis, while recent research (2023) pioneers paragraph-level citation prediction models. This evolution reflects growing sophistication in applying machine learning and natural language processing to complex legal phenomena. Professional Engagement: As Editor of Social Network Analysis and Mining since 2020, Panagis contributes to scholarly discourse in network science. His research outputs have accumulated significant citations (notably 48 for his 2017 consumer law study) and demonstrate impact through policy references and academic discussion. He remains actively affiliated with iCourts, leveraging computational approaches to advance understanding of international judicial systems.

Ole FrydView profile

Associate Professor

• Urban Planning
• Landscape Architecture
• Climate Change Adaptation
• +3 more

Ole Fryd is an Associate Professor in the Department of Geosciences and Natural Resource Management at the University of Copenhagen, specializing in climate adaptation through nature- and landscape-based approaches. His work integrates natural systems—topography, hydrology, geology, and biology—to develop sustainable urban and coastal environments resilient to climate challenges. Education: PhD, University of Copenhagen (2011) MSc Urban Design, Aalborg University (2005) Fryd researches landscape-based stormwater management and multifunctional coastal landscapes, with current focus on evaporation as drainage strategy and nature-based responses to shallow groundwater. He explores century-scale urban transformations challenging conventional infrastructure (sewers, dikes, drainage), advocating for radical human-nature coexistence. Key research areas include urban planning, climate change, coastal change, and urban water management. His 100+ publications reveal interdisciplinary climate adaptation research spanning sponge city evaluations to social vulnerability studies, bridging engineering, landscape architecture, and social sciences for holistic coastal resilience solutions. Advising and Teaching: Supervised nearly 200 graduation projects and 7 completed PhD theses Program director for three educational programs Responsible for 16 bachelor's/master's courses He contributed as consultant to the Coastal Imaginaries project for the Danish Pavilion at the 2023 Venice Biennale of Architecture, applying climate adaptation principles to international urban coastal contexts.

Lars HviidView profile

Professor

• Naturally acquired immunity to P. falciparum malaria
• Immuno-evasion by P. falciparum parasites
• Enhancing malaria research capacity in Africa
• +3 more

Lars Hviid is a Professor in the Department of Immunology and Microbiology at the University of Copenhagen's Faculty of Health and Medical Sciences. He leads research within the SURFACE team and CMP (Centre for Medical Parasitology), focusing on malaria immunology and pathogenesis. His work significantly contributes to understanding naturally acquired immunity to Plasmodium falciparum malaria, particularly among vulnerable populations. Dr. Hviid's primary research interests include the immunology and pathogenesis of severe Plasmodium falciparum malaria in children, placental malaria, and the immuno-evasive mechanisms employed by malaria parasites. His research program aims to enhance malaria research capacity in Africa and contribute to the development of effective malaria vaccines. His work has established important connections between antibody responses, particularly IgG and IgM interactions with PfEMP1 variants, and clinical protection against malaria. His recent publications demonstrate a strong focus on antibody glycosylation patterns (particularly Fc-afucosylation), VAR2CSA-specific immunity in pregnancy, and the relationship between hemoglobin variants and malaria protection. The research spans both basic immunological mechanisms and applied clinical studies in endemic areas, particularly in Ghana. Fellow of the American Society of Tropical Medicine and Hygiene (FASTMH) (2013) Fellow of the African Academy of Sciences (AAS) (2015) Professor Hviid has served on the editorial board of PLoS Medicine since 2006 and has been actively involved in mentoring students and researchers, particularly from malaria-endemic regions. His research program includes collaborations across multiple African countries, reflecting his commitment to building research capacity on the continent. He coordinates the BSc course 'Cellular and Medical Immunology' and teaches immunology to undergraduate and graduate students.

Natacha Klein KaferView profile

Assistant Professor

• History of Medicine
• Privacy Studies
• Early Modern History
• +5 more

Dr. Natacha Klein Kafer serves as Assistant Professor in Church History at the University of Copenhagen's Faculty of Theology, where her research interrogates historical intersections of health, privacy, and healing practices across early modern trans-imperial contexts. Her work examines suppressed popular healing knowledge, witch trials, colonial medical encounters, and the framing of health through secrecy and superstition. Education: PhD in History, Free University of Berlin (2017) MA in Religious Studies, University of Erfurt (2013) BA in History, Federal University of Santa Maria (2010) Research Focus: Klein Kafer investigates how health was conceptualized across empires through trans-Atlantic healing knowledge transmission, particularly analyzing the survival of folk medicine in private spheres despite institutional suppression. Her methodology bridges medical anthropology, gender studies, and legal history to explore connections between death, secrecy, and colonial power structures, with emphasis on German-Brazilian contexts and Atlantic World pharmaceutical slavery. Publication Trends: Recent articles (2024-2025) reveal expanding interdisciplinary scope, moving from textual analysis of healing charms to contemporary AI privacy ethics. Key thematic clusters include maritime privacy dynamics, gendered knowledge production in households, and decolonial critiques of medical patents, with increasing engagement with Caribbean slavery and digital humanities methodologies. Awards: MSCA Seal of Excellence (2023) Academic Engagement: Klein Kafer actively organizes international conferences including 'Prompt Engineering and AI Models for Historical Sources' (2025) and 'Podcasting for Academics' workshops. Her external role as organizer for Contecte Humanidades Digitais at Federal University of Santa Maria demonstrates sustained commitment to digital history infrastructure development across continents.

Sizhuo LiView profile

Research Fellow

• Deep learning
• remote sensing
• forest management
• +3 more

Sizhuo Li is a Postdoctoral Researcher at the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen. Working at the intersection of artificial intelligence and environmental science, Dr. Li applies advanced neural networks to solve critical challenges in forest management and carbon stock estimation using remote sensing technologies. Dr. Li's research interests center on developing and adapting deep learning methodologies for environmental monitoring applications. Their primary focus areas include intelligent forest management systems, tree resource quantification, and carbon stock estimation. Current research involves creating an automatic and scalable tree inventory framework based on UNet architecture that enables individual crown segmentation, precise tree counting, and accurate height estimation at country-wide scales. Dr. Li's publication record demonstrates a clear trajectory from technical deep learning methodologies to practical environmental applications across diverse geographical contexts, from the Mediterranean region to the Sahel and Rwanda. This work effectively bridges computer science and environmental science to address urgent climate change and sustainability challenges through innovative technological solutions. Dr. Li has published in prestigious journals including Nature Food, Nature Ecology and Evolution, Nature Reviews Electrical Engineering, and Frontiers in Remote Sensing, with multiple publications receiving significant citations and media attention. Their research has been highlighted by numerous news outlets and academic platforms, indicating growing influence in the field of AI-powered environmental monitoring.

Zhan WangView profile

Assistant Professor

• Agricultural Economics
• Land Use
• Environmental Protection
• +6 more

Zhan Wang serves as an Assistant Professor in the Department of Food and Resource Economics at the University of Copenhagen's Faculty of Science, where his research examines the intricate relationships between land use, agricultural production systems, and environmental sustainability through advanced computational modeling techniques including general/partial equilibrium frameworks and geospatial data analysis. His work specifically investigates global, national, and gridded-scale impacts of international trade dynamics, climate change scenarios, and transportation infrastructure development on agricultural ecosystems. His academic background includes: PhD in Agricultural Economics from Purdue University (2018-2023) Dr. Wang's research expertise spans agricultural economics, land use change modeling, environmental impact assessment, and innovative economic education methodologies. He employs multi-scale analytical approaches to study sustainability challenges in food, land, and water systems, with particular emphasis on Brazil's agricultural infrastructure and China's ecological programs. His work bridges economic theory with environmental science to inform policy decisions regarding resource allocation and sustainable development. Analysis of his recent publications reveals a strong thematic focus on transportation infrastructure expansion and climate change impacts on agricultural systems, particularly in Brazil and China. His modeling frameworks like GTAP-SIMPLE-G integrate economic and geospatial data to evaluate policy interventions, while his educational tools demonstrate commitment to advancing applied economics pedagogy. The publications consistently employ multi-scale analysis techniques to address complex sustainability challenges. No scientific awards were documented in the available sources. Information regarding student advising, research grants, laboratory facilities, or research teams was not provided in the source materials, though his collaborative publications suggest interdisciplinary partnerships. His external position as Post-doctoral Research Associate at Purdue University (August 2023-June 2025) indicates ongoing academic engagement beyond his primary appointment.

• Bioinformatics
• Computational Biology
• Single-Cell Genomics
• +3 more

Junil Kim serves as a Guest researcher in the Won Group at the Biotech Research and Innovation Centre (BRIC), University of Copenhagen, focusing on computational methodologies for genomic data analysis. His work bridges bioinformatics and experimental biology through algorithm development for high-resolution transcriptomic mapping. His research spans single-cell genomics, spatial transcriptomics, and gene regulatory networks, emphasizing neighbor-dependent cellular interactions in developmental contexts. Key methodologies include deep learning frameworks for spatial data integration and information-theoretic approaches to infer gene networks, applied to embryogenesis and pancreatic development. Publication trends reveal a consistent trajectory in computational spatial biology, with increasing emphasis on machine learning applications since 2021. His articles in Molecular Systems Biology, PNAS, and Nucleic Acids Research demonstrate cross-disciplinary impact, particularly in translating single-cell data to spatial cellular contexts and regulatory mechanisms. As part of the Won Group at BRIC, Kim contributes to a collaborative environment specializing in computational genomics, leveraging single-cell technologies to investigate developmental processes and disease mechanisms through interdisciplinary partnerships with molecular biologists and clinicians.