جست‌وجوی استاد و پژوهشگر

• Ecology
• Conservation Biology
• Mammalogy
• +۳ مورد دیگر

Linnea Worsøe Havmøller is a Postdoc at the Natural History Museum within the Faculty of Science, University of Copenhagen, specializing in the ecology and conservation of endangered carnivores. Her work primarily focuses on dholes (Cuon alpinus) in Java, Indonesia, where she investigates movement ecology, habitat corridors, and dietary patterns to address critical conservation challenges for this IUCN Red List species. Her educational background includes: PhD in Ecology, University of Copenhagen (2023), dissertation: "Dhole Ecology and Conservation" Dr. Havmøller's research centers on mammal conservation biology with emphases on carnivore movement ecology, juvenile dispersal, and evidence-based conservation strategies. She employs field studies in Indonesia to analyze dhole-prey interactions, livestock conflict, and subpopulation connectivity, contributing actionable insights for endangered species management in fragmented landscapes. Analysis of her 13 peer-reviewed publications (2022–2025) reveals a cohesive research trajectory spanning carnivore guild dynamics across Java and East Africa. Her work integrates advanced methodologies including camera trapping, GPS tracking, and multi-scale niche modeling to study temporal activity partitioning, dominance hierarchies, and anthropogenic impacts on wildlife. Key thematic threads include technological innovation in wildlife monitoring and cross-continental comparative ecology of threatened carnivore species. No scientific awards or prizes are documented in her current profile. Dr. Havmøller maintains extensive international collaborations, particularly with Indonesian researchers on dhole conservation projects. While specific grant details are unlisted, her fieldwork in Baluran National Park and methodological publications suggest involvement in externally funded research initiatives focused on biodiversity conservation. She operates within interdisciplinary teams at the Natural History Museum leveraging both empirical field data and computational modeling approaches. Her laboratory and field operations are anchored at the Natural History Museum of Denmark, where she collaborates with the Faculty of Science's ecology division. Current projects involve camera trap networks in East Java and partnerships with institutions like Universitas Airlangga, focusing on real-time monitoring of carnivore guild interactions and habitat corridor identification.

• Rheumatology
• Autoimmune Diseases
• Musculoskeletal Imaging
• +۲ مورد دیگر

Mikkel Østergaard is a Clinical Professor at the Department of Clinical Medicine within the Faculty of Health and Medical Sciences at the University of Copenhagen. Based at hospital campuses in Glostrup and Copenhagen, Denmark, he maintains an active dual clinical-academic role through the Capital Region of Denmark (Region Hovedstaden). His research concentrates on rheumatology with emphases on: Autoimmune disease mechanisms (particularly rheumatoid arthritis and spondyloarthritis) Advanced imaging techniques including musculoskeletal ultrasound and MRI Metabolomics and biomarker discovery for treatment response Artificial intelligence applications in rheumatic disease diagnostics Medical education methodologies for procedural skills assessment Professor Østergaard's extensive publication record (826 outputs) demonstrates significant international collaboration across European rheumatology networks. His 2025 research outputs reveal a strong focus on translational projects bridging laboratory findings with clinical applications, particularly in metabolic fingerprinting of synovial tissues, immune checkpoint dynamics, and AI-driven diagnostic tools. He frequently contributes to multi-center clinical trials and European registry initiatives. His work in medical education includes the development of validated assessment frameworks for ultrasound-guided interventions, reflecting commitment to training next-generation rheumatologists. Current projects leverage large-scale datasets from phase 3 trials and pan-European collaborations to address methodological challenges in observational rheumatology research.

Torben Martinussenمشاهده پروفایل

استاد

• Causal inference
• Survival analysis
• Instrumental variables
• +۲ مورد دیگر

Torben Martinussen is a Professor in Biostatistics at the Department of Public Health, Section of Biostatistics, University of Copenhagen, Faculty of Health and Medical Sciences. He has held this position since 2010, following professorships at the University of Southern Denmark (2008-2010) and The Royal Veterinary and Agricultural University (1997-2008). Ph.D. in Biostatistics, University of Copenhagen (1998) M.Sc. in Statistics, University of Copenhagen (1992) Professor Martinussen's research centers on causal inference, survival analysis, and instrumental variables. He has made significant contributions to the development of the Aalen additive hazards model and related methodologies, with over 166 research outputs including 137 journal articles and 2 books. His book "Dynamic regression models for survival data" (2006) is particularly influential in the field. His publication record reveals a consistent focus on advancing statistical methodologies for survival data analysis, with increasing emphasis on causal inference techniques, high-dimensional data challenges, and missing covariate scenarios. The high citation counts on papers like "Instrumental variable estimation in a survival context" (155 citations) demonstrate the impact of his work. Associate editor Biometrika (2008-2012) Associate editor Biometrics (2016-present) Associate editor Scandinavian Journal of Statistics (2003-2008) Professor Martinussen teaches a range of courses including Causal Inference I & II, Survival Analysis at basic and advanced levels, Epidemiology, and Statistics for Veterinarians, reflecting the interdisciplinary nature of his expertise and the broad application of his research.

• Breast cancer screening
• Cervical cancer screening
• HPV vaccination
• +۵ مورد دیگر

George Napolitano is an Academic employee at the University of Copenhagen's Department of Public Health within the Section of Environmental Health. His work focuses on providing statistical support for various research projects in public health, with particular expertise in cancer screening programs and environmental health research. Dr. Napolitano holds a PhD in Mathematics from the Department of Mathematical Sciences and an MSc in Physics from the University of Naples Federico II. Prior to his current position, he worked as a Postdoc/Researcher at the Centre for Mathematical Sciences from 2013 to 2017, where he conducted research in Theoretical and Mathematical Physics and Applied Probability. His primary research interests include breast cancer screening, cervical cancer screening, HPV vaccination, and allostatic load. His expertise in statistical analysis bridges advanced mathematical methodologies with practical public health applications. Dr. Napolitano has published extensively, with 51 research outputs documented in his profile. His recent publications (2024-2025) demonstrate a strong focus on cervical cancer screening outcomes among HPV-vaccinated women through the Trial23 cohort study, breast cancer screening methodologies including tomosynthesis and deep learning approaches, and environmental health research examining air pollution's impact on lung cancer, respiratory infections, and COVID-19 mortality. His work consistently applies sophisticated statistical methods to address critical questions in epidemiology. Dr. Napolitano maintains an active research profile with multiple publications receiving significant attention from news outlets and academic platforms. His interdisciplinary background in theoretical physics and mathematics provides unique expertise in developing and applying complex statistical models to health data, making substantial contributions to cancer epidemiology and environmental health research.

• Epistemology
• Disagreement
• Bayesian Modelling
• +۵ مورد دیگر

Josefine Lomholt Pallavicini serves as a Teaching Assistant Professor in the Department of Science Education within the Faculty of Humanities at the University of Copenhagen. Her research bridges formal epistemology, Bayesian modeling, and the philosophy of scientific practice. Her primary research interests span epistemology, social epistemology, Bayesian modeling of disagreement, higher-order evidence, and diagrammatic reasoning in mathematics. She investigates how statistical formal models can explain phenomena like polarization and trust dynamics in epistemic communities, with particular focus on updating Bayesian frameworks to incorporate higher-order beliefs about belief formation reliability. Analysis of her four recent publications reveals a cohesive research trajectory focused on formal modeling of epistemic phenomena. Her work spans historical analysis of mathematical formalism (2022), computational modeling of group polarization (2021), and typological studies of mathematical diagrams (2018-2021), consistently applying formal methods to philosophical questions about evidence, disagreement, and representation. She is affiliated with the Social Epistemology Research Group (SERG) and contributed to the DFF-project 'The social epistemology and social psychology of disagreement.' Her research involves interdisciplinary collaboration with mathematicians and cognitive scientists, particularly on diagrammatic representation projects with M. W. Johansen and M. Misfeldt. Her laboratory and team involvement centers on SERG (Social Epistemology Research Group), where she collaborates on projects examining disagreement dynamics and higher-order evidence. Her work integrates computational modeling with traditional philosophical analysis, operating at the intersection of formal epistemology and cognitive science.

• Plant Pathology
• Biological Control
• Induced Resistance
• +۷ مورد دیگر

Hans Jørgen Lyngs Jørgensen serves as Associate Professor at the Department of Plant and Environmental Sciences within the Faculty of Science at the University of Copenhagen. His academic career spans over three decades, with continuous appointments since 1988, currently focusing on plant pathology research with emphasis on biological control mechanisms and plant disease resistance. His primary research interests include: Alleviation of biotic and abiotic stress through biological control and induced resistance Studies of resistance in plants against important fungal pathogens Investigation of infection biology and host defence responses Mode of action in disease repression by biological control agents Research on both temperate cereals and tropical crops Professor Jørgensen employs diverse methodologies including various microscopy techniques, gene expression studies, biochemical assays for reactive oxygen species, antioxidants and enzymes, fungal diagnostics, and statistical analysis of research data. His work has significant implications for sustainable agriculture and food security, particularly through reducing pesticide dependency in crop production systems. Analysis of his recent publications (2024-2025) reveals a continued focus on innovative biological control methods, particularly examining fungal endophytes, host-pathogen interactions in various crops, and integrated pest management strategies that combine above- and belowground approaches. His research increasingly addresses climate change impacts on plant diseases and sustainable solutions for global food systems. Among his professional recognitions: M merit award for contributions to Can Tho University's development (2016) Professor Jørgensen maintains extensive international collaborations, particularly with Can Tho University (Vietnam), University of Mysore and CFTRI (India), and Makerere University (Uganda). He serves as Associate Editor of the European Journal of Plant Pathology since 2004 and has refereed for over 50 international scientific journals. His advisory role extends to 20 PhD assessment committees across multiple countries and reviewing research proposals from various international funding bodies.

Tor Ivan Simonsenمشاهده پروفایل

پژوهشگر

• Lignin Science
• Sustainable Materials
• Wood Protection
• +۵ مورد دیگر

Dr. Tor Ivan Simonsen is a Translational Postdoc Researcher at the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen. His research focuses on sustainable materials development, particularly in the area of lignin-based technologies for wood protection and biofuels. As co-inventor and innovation lead of the LignoSolve technology, he bridges academic research with industrial applications to create high-performance, eco-friendly materials for outdoor applications. Dr. Simonsen's educational background includes: PhD in Wood Science from the Department of Geosciences and Natural Resource Management (awarded October 10, 2024), with dissertation titled "Lignin-Alcohol Dispersions: A Promising Marine Biofuel" Master's degree in Biology Biotechnology from the University of Copenhagen (awarded September 22, 2017), with thesis on "Light-driven enzymatic oxidation of polysaccharides - Light response and oxygen species" Dr. Simonsen's research interests center on sustainable materials science with a particular focus on lignin applications. He is passionate about bridging academia and industry to create high-performance materials for outdoor applications. His work spans wood science, biorefining, biofuels, and sustainable materials engineering. As a lignin scientist, he specializes in impregnating wood with lignin to enhance its natural resistance to fungal decay. His current research focus involves developing entrepreneurial skills through Spin-Outs Denmark and paving the way for a successful spinout of LignoSolve technology. Analysis of Dr. Simonsen's recent publications reveals a strong focus on lignin-based technologies across multiple applications. His work spans wood protection, biofuel development, and sustainable materials engineering. Key themes include lignin-alcohol dispersions as marine biofuels, lignin impregnation for wood preservation, and optimization of lignin extraction and processing methods. His research demonstrates interdisciplinary collaboration across chemistry, materials science, and engineering to develop practical, sustainable solutions for industry applications. Dr. Simonsen has received recognition for his research contributions: Best oral presentation award (December 1, 2022) Best poster award (November 30, 2023) As innovation lead for LignoSolve technology, Dr. Simonsen is actively translating academic research into commercial applications. He is developing entrepreneurial skills through Spin-Outs Denmark to facilitate the successful spinout of LignoSolve. His work has attracted media attention, with three press/media contributions covering sustainable shipping fuels and eco-friendly wood protection. His research has been referenced in policy sources and has garnered attention from researchers worldwide as indicated by Mendeley reader statistics. Dr. Simonsen is part of the Forest and Bioresources research group within the Department of Geosciences and Natural Resource Management. His collaborative network spans multiple institutions and countries, focusing on advancing lignin-based technologies for sustainable applications. He is currently working to establish LignoSolve as an independent venture to bring these innovations to market.

• Non-protein coding RNAs (ncRNAs)
• RNA structure biology
• Next-generation sequencing
• +۵ مورد دیگر

Ernst Stefan Seemann serves as an Associate Professor in the Department of Veterinary and Animal Sciences within the Faculty of Health and Medical Sciences at the University of Copenhagen. His research focuses on non-protein coding RNAs (ncRNAs) and RNA structure functionality, utilizing advanced methodologies including RNA structure modeling, prediction of RNA-RNA and protein-RNA binding, and analysis of next-generation sequencing data. His primary research interests encompass: Non-protein coding RNAs (ncRNAs) and RNA structure biology Next-generation sequencing and single-cell RNA-seq analysis Comparative genomics and prediction/annotation of ncRNAs Host-pathogen RNA interactions Stem cell models for neurodegenerative diseases Seemann is actively involved in multiple high-impact research initiatives including investigations of novel ncRNAs in bacteria (NextProd project), animal ncRNAs (FAANG consortium), host-virus RNA-RNA interactions with Assoc Prof Troels KH Scheel, single-cell RNA sequencing in neurogenesis studies with Assoc Prof Vanessa J Hall, and transcriptomics in stem cell models for neurodegenerative diseases (NeuroStem project). His publication record demonstrates strong interdisciplinary collaboration across computational biology, veterinary science, and medical research. His scientific contributions span environmental microbiology, gene therapy, neuroscience, and computational biology, with recent work focusing on CRISPR applications, CAR T-cell engineering, microglial metabolism in dementia, and metabolic engineering of bacterial systems. His research has been cited across multiple platforms including academic journals, Mendeley readership, Wikipedia, and news outlets.

• Psychology
• Research Methods
• Statistics
• +۲ مورد دیگر

Henriette Kirkeby serves as a Part-time Lecturer and External Lecturer within the Department of Psychology at the University of Copenhagen, where she actively contributes to the Study board of Psychology. Her professional base is located at Øster Farimagsgade 2A, 1350 København K, with primary contact via Henriette.Kirkeby@psy.ku.dk and departmental resources at http://www.psy.ku.dk. Her scholarly focus centers on the critical examination of statistical methodologies in psychological research, specifically investigating how models function as necessary simplifications that may inadvertently introduce distortions or suppress critical data dimensions. This work underscores fundamental tensions between analytical tractability and representational fidelity in empirical psychology. Her sole documented publication—a 2008 co-edited book chapter titled "Statistiske modeller - forenklinger, forvanskninger og/eller fortrængninger"—establishes her contribution to methodological discourse within Scandinavian psychology. The work critically analyzes modeling trade-offs in research design, highlighting epistemological implications for data interpretation and theory construction in the field.

Jørgen Holm Petersenمشاهده پروفایل

دانشیار

• Inter-rater agreement
• Reference curves
• Latent variable models
• +۲ مورد دیگر

Jørgen Holm Petersen serves as an Associate Professor in the Department of Public Health within the Faculty of Health and Medical Sciences at the University of Copenhagen. His primary academic affiliation centers on the Section of Biostatistics, where he maintains an active research profile with over 240 research outputs and significant collaborative networks across international institutions. His research expertise spans specialized statistical methodologies including inter-rater agreement analysis, reference curve development, latent variable modeling, and variance components models. Current work focuses on Bradley-Terry models with variance components for estimation and inference, particularly in rater agreement contexts. His methodological innovations directly support clinical and epidemiological investigations across endocrinology, environmental health, and public health domains. Recent publication trends reveal strong engagement with endocrine development research (puberty studies, hormone assays), environmental carcinogenesis (PFAS/organochlorine exposures), and health disparities (long COVID, vaccination uptake). His statistical frameworks enable sophisticated analysis of complex human exposures and longitudinal health outcomes, frequently applied through collaborations with clinical researchers at Copenhagen University Hospital. Petersen actively contributes to academic discourse through lectures on biostatistical applications in diverse fields (astronomy, voice research, cosmology) and service on review committees. His methodological presentations address critical issues in clinical trial randomization, instrumental variable techniques, and rating scale modeling for observer variation. Professional activities include editorial roles, committee chairmanships (e.g., Assessment Committee since 2014), and extensive lecture contributions. His work bridges theoretical statistics with practical healthcare applications, particularly in developmental endocrinology and environmental epidemiology.

• Computational Chemistry
• Cheminformatics
• Quantum Chemistry
• +۵ مورد دیگر

Maria Harris Rasmussen is a Postdoctoral Researcher in the Department of Chemistry at the University of Copenhagen, where she conducts cutting-edge research at the intersection of computational chemistry, cheminformatics, and artificial intelligence. Her work focuses on developing and applying computational methodologies to solve complex chemical problems, with particular emphasis on reaction discovery, molecular representation, and catalyst design. Her research interests span multiple domains of computational chemistry, with primary focus on Cheminformatics where she develops algorithms for molecular representation including SMILES notation for transition metal complexes. In Quantum Chemistry , she investigates photoinduced electron transfer processes and reaction mechanisms using advanced simulation techniques. Her work in Machine Learning for Chemistry includes developing explainable AI methods for molecular property prediction and uncertainty quantification in chemical data sets. She also contributes significantly to Catalysis Research through computational approaches for de novo catalyst discovery and reaction screening. Analysis of her publication record reveals strong trends in developing computational tools that bridge theoretical chemistry with practical applications. Her recent work shows increasing integration of machine learning with traditional quantum chemical methods, particularly in the areas of reaction space exploration and catalyst discovery. The interdisciplinary nature of her research connects chemistry with computer science, physics, and data science, reflecting the evolving landscape of modern computational chemistry. Maria maintains active research collaborations with prominent scientists including Jensen J.H., Mikkelsen K.V., and several international researchers as evidenced by her publication record. Her computational methodologies have gained attention across academic and research communities, with multiple publications receiving significant readership on platforms like Mendeley and social media engagement.

• Critical Care Medicine
• Anaesthesiology
• Intensive Care Unit (ICU)
• +۴ مورد دیگر

Morten Hylander Møller serves as Clinical Professor in the Department of Clinical Medicine at the University of Copenhagen, with clinical responsibilities in Anaesthesiology at Copenhagen University Hospital (Region H). His academic work centers on advancing evidence-based practices in intensive care through large-scale collaborative research. His research portfolio spans critical care methodology and clinical implementation: Development of core outcome sets for ICU trials using Delphi consensus Pharmacovigilance in critical care (e.g., amiodarone toxicity) Adaptive clinical trial design innovations Nationwide antibiotic consumption surveillance Sepsis guideline evaluation frameworks Scandinavian end-of-life care standardization Recent publications reveal a strategic focus on methodological rigor in ICU research, particularly through platform trials and international consensus-building. His work consistently addresses implementation gaps between clinical evidence and ICU practice, with strong emphasis on Scandinavian healthcare contexts and multinational collaboration patterns visible across all 2025 publications. Professor Møller actively contributes to major initiatives including the CLASSIC septic shock trial and Scandinavian Delphi consensus projects, demonstrating leadership in translating research into standardized ICU protocols across Nordic healthcare systems.

• Survival analyses
• Statistical genetics
• Time-to-event data
• +۴ مورد دیگر

Thomas Scheike is a Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen. He holds a Dr. Scient degree from 2002 and a PhD from 1993, with an ORCID identifier of 0000-0002-2148-4740. His research expertise includes: Survival analyses and time-to-event data methodology Statistical genetics applied to twin and family studies Competing risks data analysis Dependence structures in multivariate event history data Professor Scheike has developed significant statistical software for R, including the Timereg package for survival analysis and the Mets package for multivariate polygenetic modeling. He teaches courses primarily for medical PhD students in survival analysis, statistical software applications, medical statistics, and methods for twin and family studies, as well as specialized courses for statistics PhD students. His recent publications (2025) demonstrate the broad application of his biostatistical methods across cardiology, psychiatry, gastroenterology, neurology, and environmental health fields. These works often involve large-scale cohort studies and twin research designs, showcasing his methodological innovations in analyzing complex longitudinal data. Professor Scheike maintains an active research profile with substantial contributions to biostatistical methodology, particularly in the analysis of survival data with applications across diverse medical disciplines.

Isabel Skak Olufsenمشاهده پروفایل

پژوهشگر

• Behavioural economics
• Inequality
• Subjective well-being
• +۱ مورد دیگر

Isabel Skak Olufsen is an External Researcher in the Department of Economics at the University of Copenhagen, conducting empirical research at the intersection of behavioral economics and social policy. Her work leverages advanced microeconometric techniques to analyze complex societal issues using Danish administrative and survey data. Her primary research domains include: Behavioural economics: Investigating cognitive biases and social preferences in economic decision-making Inequality: Examining disparities in income, wealth, and well-being outcomes Subjective well-being: Analyzing self-reported happiness and life satisfaction metrics Applied microeconometrics: Developing robust statistical methods for causal inference in observational data Recent publications demonstrate a cohesive research trajectory focused on inequality perceptions and redistribution mechanisms. Her 2024 PNAS paper reveals how individual inequality aversion shapes support for both governmental and private redistribution channels, while her 2022 JOBO article employs linked administrative-survey data to test meritocratic explanations for well-being inequality. Both studies showcase methodological rigor through integration of large-scale Danish registry data with targeted survey instruments, contributing to debates on welfare state sustainability and social cohesion. Dr. Olufsen maintains active scholarly engagement through ORCID (0000-0003-4998-6790) and university affiliation, with publications receiving significant academic attention including Scopus citations, news coverage, and social media dissemination across research platforms.

Karen-Inge Karstoftمشاهده پروفایل

دانشیار

• Clinical Psychology
• Health Psychology
• Trauma Psychology
• +۹ مورد دیگر

Karen-Inge Karstoft is an Associate Professor in the Department of Psychology at the University of Copenhagen's Faculty of Social Sciences. She joined the department in November 2020 after serving as a Senior Researcher at the Danish Veteran Centre's Research and Knowledge Centre. Her academic journey includes positions as an Affiliated Researcher and Part-time Lecturer at the University of Copenhagen, and Researcher and Part-time Lecturer at the University of Southern Denmark. Dr. Karstoft earned her PhD in Psychology from the University of Southern Denmark in 2014, with a dissertation on traumatic stress reactions following military deployment. She completed her MSc in Psychology with a focus on neuropsychology and clinical psychology from the University of Copenhagen in 2010, and her BSc in Psychology from the same institution in 2007. Her research program centers on clinical and health psychology with a specialization in trauma responses and PTSD development. She investigates how individuals react differently to trauma exposure and applies machine learning methods to predict mental health problems following trauma. Her work spans complexity science of psychopathology, comorbidity networks, veteran mental health, and refugee mental health. Dr. Karstoft's approach integrates advanced statistical methods with clinical applications to address mental health challenges in diverse populations. Her research has been published in high-impact journals including Nature Genetics, Nature Communications, and European Journal of Psychotraumatology. Recent work focuses on Ukrainian refugees, genetic architecture of PTSD, and therapeutic interventions. She has received significant recognition including the Young Investigator Award from The Danish Psychological Association in 2019. Young Investigator Award from The Danish Psychological Association (2019) Dr. Karstoft serves as Principal Investigator on multiple major grants including the DARECO cohort study, comorbidity networks research, and studies on adverse childhood experiences. She has secured funding from Carlsbergfondet and the Independent Research Fund Denmark totaling millions of Danish kroner. Her collaborative network includes partnerships with the Danish Veteran Centre and international research consortia. She teaches courses on trauma, PTSD, comorbidity diagnostics, research methods, and complexity science in clinical psychology.