جست‌وجوی استاد و پژوهشگر

• Geogenetics
• Ancient DNA
• Population Genetics
• +۳ مورد دیگر

Cristina-Irina Tica serves as a Postdoctoral Researcher (Research Fellow) at the Section for Geogenetics within the Globe Institute, University of Copenhagen. Her work bridges geogenetics and forensic anthropology through advanced statistical modeling. Her primary research focuses on Geogenetics and Ancient DNA analysis, with specialized interests in Population Genetics, Forensic Anthropology, and Bayesian statistical applications for human decomposition modeling. This interdisciplinary approach integrates taphonomic processes with genetic methodologies to reconstruct postmortem timelines. Her 2025 publication in Forensic Science International demonstrates a clear trend toward computational forensic anthropology, utilizing Bayesian frameworks to analyze decomposition variables. This reflects broader shifts in the field toward data-driven approaches for death investigation and postmortem interval estimation. As part of the Section for Geogenetics team, she contributes to collaborative projects examining ancient human DNA signatures in forensic contexts, working within Copenhagen's interdisciplinary research ecosystem focused on evolutionary genetics and anthropological applications.

• Genomics
• Medical Informatics
• Artificial Intelligence in Healthcare
• +۳ مورد دیگر

Peter Christoffer Holm is a Guest Researcher at the Novo Nordisk Foundation Center for Protein Research within the Faculty of Health and Medical Sciences at the University of Copenhagen. He is affiliated with the Brunak Group and maintains an active research profile with numerous publications in high-impact journals. His work spans multiple disciplines at the intersection of genomics, artificial intelligence, and clinical medicine. Dr. Holm's research interests focus on applying computational approaches to biomedical challenges. His work encompasses genomic analysis of population health data, AI-driven medical record mining for disease detection, cardiovascular disease stratification, and cancer risk assessment. He has made significant contributions to understanding genetic variants affecting body mass index across diverse populations and developing novel methods for patient subgrouping in heart disease. His publication record shows a strong trend toward integrating artificial intelligence with clinical data, particularly in cancer detection and cardiovascular disease management. Recent work demonstrates expertise in leveraging national health datasets for predictive modeling, with publications appearing in prestigious journals including Nature Communications, The Lancet family of journals, and BMC Medicine. His research has garnered significant attention, with multiple papers covered by news outlets and widely shared on social media platforms. As a member of the Brunak Group at the Center for Protein Research, Dr. Holm contributes to a collaborative environment focused on computational biology and medical data science. His work often involves large-scale population studies and interdisciplinary collaborations across medical specialties.

• Computational Biology
• Structural Biology
• Molecular Dynamics
• +۴ مورد دیگر

Emil Thomasen serves as a Guest Researcher in the Department of Biology within the Biomolecular Sciences unit at the University of Copenhagen's Faculty of Science. His research integrates computational methods with experimental structural biology approaches to investigate complex biomolecular systems. Position: Guest Researcher Institution: University of Copenhagen Department: Department of Biology Research Unit: Biomolecular Sciences Contact: fe.thomasen@bio.ku.dk | +4535323586 Thomasen's research focuses on developing and applying computational methodologies to understand protein structure, dynamics, and interactions. His work bridges quantum mechanics, molecular dynamics simulations, and experimental techniques including small-angle X-ray scattering (SAXS) and cryo-electron microscopy. He has made significant contributions to coarse-grained modeling, particularly with the Martini force field, and has pioneered approaches combining machine learning with quantum mechanical calculations for large molecular assemblies. His publication record demonstrates a clear trajectory in computational structural biology, with recent work emphasizing the integration of multiple experimental and computational techniques to characterize complex protein systems. The research shows increasing sophistication in handling large-scale biomolecular assemblies and applying advanced statistical methods like Bayesian inference for model refinement. Thomasen has established strong collaborative networks, frequently working with Professor K. Lindorff-Larsen and other researchers across computational chemistry and structural biology disciplines. His work has appeared in high-impact journals including Nature Communications, eLife, and Journal of Chemical Theory and Computation. As a recently completed Ph.D. graduate (2024), Thomasen continues to advance his research program as a Guest Researcher, building on his doctoral work focused on integrating coarse-grained molecular dynamics with SAXS data for characterizing multidomain protein assemblies.

Michael Charles Sachsمشاهده پروفایل

دانشیار

• Biostatistics
• Causal Inference
• Survival Analysis
• +۳ مورد دیگر

Michael Charles Sachs serves as Associate Professor in the Department of Public Health, Section of Biostatistics at the University of Copenhagen's Faculty of Health and Medical Sciences. He holds a Doctorate in Biostatistics from the University of Washington (awarded August 15, 2011) and maintains an active research program with publications spanning 2022-2025. His primary research focuses on biomarker signatures for treatment selection , computational methods for deriving symbolic bounds on causal effects , and regression modeling of cumulative estimands with censored event history data . His general areas of interest include reproducible research, computational statistics, R programming, Bayesian nonparametric models, and survival analysis. Professor Sachs teaches the advanced course "Programming and Statistical Modeling in R" for PhD students and health researchers, covering programming principles, loops, functions, and efficient data manipulation. His recent publications demonstrate expertise in causal inference methodology, survival analysis techniques, and statistical software implementation, with multiple articles accepted for publication in 2025. His work spans theoretical methodology development and practical applications in medical research, particularly in gastroenterology and celiac disease prediction. His scholarly output shows consistent productivity with multiple first-author publications in high-impact biostatistics journals including Journal of Statistical Software, Journal of Computational and Graphical Statistics, and Biostatistics. He actively organizes academic activities, including a May 2025 workshop on statistical modeling in R.

• Animal Welfare
• Disease Control
• Swine Production
• +۴ مورد دیگر

Leonardo Victor de Knegt serves as an Associate Professor in the Department of Veterinary and Animal Sciences at the Faculty of Health and Medical Sciences, University of Copenhagen. His research centers on animal welfare and disease control within livestock production systems, with particular expertise in swine nutrition, gastrointestinal health, and veterinary epidemiology. Dr. de Knegt's research program investigates critical challenges in modern livestock farming, including optimizing piglet development through dietary interventions (e.g., benzoic acid and lactose supplementation), mitigating stress in gestating sows, and enhancing disease surveillance in cattle populations. His work integrates molecular biology, nutritional science, and advanced statistical modeling to address complex interactions between feed composition, animal physiology, and production outcomes. Key methodologies include gene expression analysis, state space modeling for dairy herd management, and genomic contact-tracing for infectious disease control. Analysis of his 2020-2025 publications reveals a cohesive research trajectory focused on improving animal health through nutritional innovation and precision monitoring. Dominant themes include feed additive efficacy in neonatal piglets, risk factor identification for reproductive challenges in hyperprolific sows, and computational approaches to dairy farm management. His collaborative network spans multiple University of Copenhagen departments and international research teams, consistently targeting practical solutions for sustainable livestock production. Dr. de Knegt maintains an active publication record with 34 research outputs including 22 peer-reviewed journal articles. His work appears in high-impact journals such as Animals , Journal of Dairy Science , and Preventive Veterinary Medicine , demonstrating significant contributions to veterinary science methodology and livestock welfare applications.

• Computational Biology
• Metagenomics
• Bioinformatics
• +۵ مورد دیگر

Jakob Nybo Nissen serves as an Assistant Professor and Affiliate Professor with the Rasmussen Group at the Faculty of Health and Medical Sciences, University of Copenhagen. His research focuses on computational biology with emphasis on metagenomics, bioinformatics, and machine learning applications for genomic data analysis. Dr. Nissen's primary research interests include: Metagenome binning and taxonomic classification Application of deep learning to genomic sequence analysis Development of computational tools for microbial community analysis Influenza virus evolution and zoonotic transmission Multi-omics data integration for disease research His recent publications demonstrate a strong focus on improving computational methods for metagenomic analysis, with several papers published in high-impact journals including Nature Communications, Nature Biotechnology, and Nature Methods. His work bridges computer science and biology, developing novel algorithms that address critical challenges in genomic data processing. Dr. Nissen is actively involved in collaborative research efforts, particularly through the Rasmussen Group, and has contributed to major initiatives like the Critical Assessment of Metagenome Interpretation. His work has practical applications in microbial ecology, disease surveillance, and personalized medicine approaches. Based at the Center for Protein Research at the University of Copenhagen, Dr. Nissen works in a vibrant research environment that integrates computational and experimental approaches to address fundamental biological questions with biomedical relevance.

• Reward decision-making
• risk-taking
• neuroeconomics
• +۴ مورد دیگر

Oliver James Hulme serves as Associate Professor in the Department of Psychology within the Faculty of Social Sciences at the University of Copenhagen. His office is located at Øster Farimagsgade 2A, 1350 København K, with scheduled office hours on Thursdays from 12:00-13:00. His research focuses on: Reward decision-making risk-taking neuroeconomics functional neuroimaging Bayesian modelling cognitive computational neuroscience open science Publications from 2013-2024 demonstrate sustained investigation into neural mechanisms of decision processes, particularly in Parkinson's disease, aging populations, and eating disorders. His methodology integrates fMRI, computational modeling, and behavioral paradigms to examine risk assessment, neural connectivity, and cognitive control under varying physiological states. No scientific awards were documented in the source material. Details regarding student supervision, grant funding, and laboratory infrastructure were not provided in the available information.

Dhouha Grissaمشاهده پروفایل

استادیار

• Data Mining
• Machine Learning
• Bioinformatics
• +۴ مورد دیگر

Dhouha Grissa serves as an Assistant Professor in the Department of Veterinary and Animal Sciences at the University of Copenhagen, Denmark, specializing in Preclinical Disease Biology. Her research applies advanced data mining and knowledge extraction techniques to biomedical challenges, with primary focus on early detection of alcoholic liver fibrosis through analysis of medical records and metabolomic data. Education: PhD in Computer Science, University of Clermont-Auvergne, France (awarded November 2, 2013) Research Interests: Dr. Grissa's work integrates bioinformatics, machine learning, and computational biology to develop knowledge discovery frameworks for metabolomic and clinical data. She specializes in identifying predictive biomarkers for disease progression, particularly in alcoholic liver disease, through hybrid analytical approaches combining text mining, process mining, and multi-omics integration. Publication Trends: Her recent publications (2020-2022) reveal a consistent trajectory in applying data integration and knowledge extraction to biomedical databases and clinical registries. Key themes include disease-gene association mapping, GWAS analytics for drug target illumination, and exploratory metabolomic analysis—all converging on improving disease prediction models and understanding pathophysiological mechanisms. Advising and Grants: No specific information regarding student advising or grant funding was provided in the source material. Labs and Teams: Dr. Grissa is embedded within the Novo Nordisk Foundation Center for Protein Research and actively contributes to the EU-funded Galaxy project, which develops integrated systems models for multi-omics and clinical data analysis using resources like the Danish National Patient Registry.

Michael Eriksen Benrosمشاهده پروفایل

استاد بالینی

• Immuno-Psychiatry
• Biological Psychiatry
• Epidemiology
• +۵ مورد دیگر

Michael Eriksen Benros is a Clinical Professor at the Department of Clinical Medicine, University of Copenhagen, and heads the Biological and Precision Psychiatry unit at Mental Health Centre Copenhagen, Copenhagen University Hospital. He serves as a board member of the Psychiatric Immunology Section of the World Psychiatric Association and is co-PI on the DanFunD study. Dr. Benros is a leading expert in Immuno-Psychiatry, Biological Psychiatry, Epidemiology, and Precision Psychiatry. His research focuses on the intersection of immune-related factors and mental illness, utilizing Danish nationwide registers, biobanks, and clinical studies. He leads significant efforts to understand the role of the immune system in severe mental disorders through immunogenetic investigations and novel research on cerebrospinal fluid and blood samples from patients with psychotic and affective disorders. His most recent publications (2025) demonstrate a continued focus on neuroimmunology, with studies examining the neurological impacts of COVID-19, perinatal immune markers and ADHD, genetic prediction methods, and lifestyle factors in functional somatic disorders. Earlier landmark publications (2020) established foundational work in autoimmune psychosis and the mental health consequences of the pandemic. His scientific recognition includes: Sapere Aude Research Leader award from the Independent Research Fond Denmark Dr. Benros has secured substantial research funding for his work on immuno-psychiatry and precision psychiatry, including leadership of the Precision Psychiatry Initiative which utilizes systems biology and machine learning methods to develop more precise diagnostics and identify new treatment targets. His research leverages Denmark's unique nationwide registers and biobanks to investigate immune exposures in relation to mental disorders. He directs a significant research group focused on Biological and Precision Psychiatry at Mental Health Centre Copenhagen, where they combine register data with immunogenetic investigations and novel research on cerebrospinal fluid and blood from clinical studies. His team employs omics and systems biology approaches to unravel the complex relationship between the immune system and mental health.

David Reiner-Linkمشاهده پروفایل

استادیار

• Precision pharmacology
• GPCR pharmacogenomics
• Multi-target directed ligands (MTDL)
• +۷ مورد دیگر

David Reiner-Link is an Assistant Professor in the Department of Drug Design and Pharmacology within the Faculty of Health and Medical Sciences at the University of Copenhagen. His research sits at the intersection of molecular pharmacology and data science, with affiliations to both the Molecular Pharmacology Group (including the Wellendorph lab and Jensen lab) and the Hauser Group. He maintains an active research program with numerous publications and collaborations across Europe. His educational background includes a Pharmacy degree (Apotheker/Staatsexamen) from Goethe University Frankfurt (2010-2015, awarded February 2017) followed by PhD studies at Heinrich Heine University Düsseldorf (2017-2020). He has secured significant recognition including the Early Stage Researcher Award (2020), Pharma Innovation Challenge (2024), and a Visiting Scholar Fellowship at Stanford Bio-X (2024), with an upcoming visiting position at Stanford University from 2025-2027. Dr. Reiner-Link's research focuses on three primary conceptual approaches: precision pharmacology (deciphering links between GPCR signaling pathways and pharmacological outcomes), GPCR pharmacogenomics (studying how structural variants impact drug response), and multi-target directed ligands (identifying drugs with activity at synergistic targets). His pathophysiological focus spans neurological and psychiatric disorders including schizophrenia, depression, Parkinson's disease, sleep disorders, and Prader-Willi Syndrome. His methodological expertise combines in vitro experiments of receptor binding and cellular signaling with advanced data handling procedures including statistical learning and deep learning. His publication record demonstrates a strong focus on GPCR-related research, particularly examining receptor binding, signaling pathways, and multi-target approaches for neurological disorders. Recent publications show increasing sophistication in combining molecular pharmacology with computational approaches, with significant contributions to understanding receptor isoforms, developing multi-target ligands for Alzheimer's disease and pain management, and advancing pharmacogenomic applications for personalized medicine. Early Stage Researcher (ESR) Award (July 2020) Pharma Innovation Challenge (November 2024) Visiting Scholar / Visiting Postdoc Fellowship at Stanford Bio-X (June 2024) Dr. Reiner-Link actively mentors students and collaborates across international boundaries, with his work frequently appearing in high-impact journals. His future research direction includes expanding his work on GPCR signaling diversity and developing computational approaches to predict drug responses based on genetic variants. His upcoming visiting position at Stanford University suggests continued growth in interdisciplinary research at the intersection of pharmacology and data science.

• Ancient DNA
• Paleoproteomics
• Molecular Ecology
• +۳ مورد دیگر

Liam Thomas Lanigan serves as a Guest Researcher at the Section for Molecular Ecology and Evolution within the Globe Institute at the University of Copenhagen, leveraging ancient biomolecular techniques to investigate evolutionary and ecological dynamics across deep time periods. His research focuses on methodological rigor in ancient metagenomics and paleoproteomics, with applications spanning wildlife conservation (particularly wolf population genomics across Europe and Asia) and archaeological science (including Mesolithic bone tool analysis). Key interests include contamination control in ancient DNA studies, enzymatic protein extraction from skeletal remains, and integrating genomic data for conservation decision-making, reflecting strong interdisciplinary collaboration between genetics, archaeology, and ecology. Analysis of his 2020-2024 publications reveals consistent methodological innovation in biomolecular authentication alongside substantive contributions to canid evolutionary history and archaeological interpretation. Notable trends include protease-based biomarker recovery techniques, whole-genome sequencing for taxonomic resolution in endangered species, and multi-omics integration for reconstructing past human-environment interactions. Lanigan operates within the Section for Molecular Ecology and Evolution, a research unit applying genomic and proteomic technologies to explore ancient ecosystems, wildlife population histories, and human evolutionary trajectories through cutting-edge laboratory and computational approaches.

• 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.

• Cancer Genomics
• Genome Instability
• DNA Repair
• +۷ مورد دیگر

Fran Supek is a Professor at the University of Copenhagen's Faculty of Health and Medical Sciences, where he leads the Genome Data Science laboratory at the Biotech Research & Innovation Centre (BRIC). He also maintains a research group at the IRB Barcelona. Supek is the Principal Investigator of ERC Starting and ERC Consolidator projects, an EMBO Young Investigator, and holds an ICREA tenured professor position (currently on leave). Dr. Supek obtained his PhD in Molecular Biology in 2010 from the University of Zagreb, followed by postdoctoral training at the Centre for Genomic Regulation (CRG) as a Marie Curie fellow. He established his independent laboratory at IRB Barcelona in 2017 as a "Ramón y Cajal" tenure-track fellow, and expanded to BRIC in 2024. His research focuses on statistical genomics and machine learning approaches to study genome stability mechanisms, particularly through analysis of mutation patterns in cancer. The Genome Data Science lab performs large-scale bioinformatic studies of multi-omic data from human tumors, populations, and metagenomes. Key research areas include DNA repair mechanisms, mRNA synthesis and turnover pathways, genetic interactions in cancer genomes, and machine learning approaches for inferring gene function from genomic data. Analysis of Supek's recent publications reveals a strong emphasis on cancer genomics, with particular focus on mutational signatures, DNA repair deficiencies, and the application of artificial intelligence to genomic data analysis. His work spans from fundamental mechanisms of genome instability to translational applications in cancer diagnosis and treatment. ERC Starting Grant recipient ERC Consolidator Grant recipient EMBO Young Investigator ICREA tenured professor (on leave) As Principal Investigator of multiple ERC projects, Supek leads a research program with significant funding for innovative genomic research. His laboratory at BRIC and IRB Barcelona conducts interdisciplinary research combining computational approaches with experimental validation to address fundamental questions in genome biology and cancer evolution. The Genome Data Science lab maintains active collaborations across multiple institutions, with research spanning statistical genomics, machine learning applications in bioinformatics, and experimental validation of computational predictions in cancer biology.

• 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.

• 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.