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Kristoffer Hougaard MadsenView profile

Professor

• Neuroscience
• Functional MRI (fMRI)
• Computational Neuroscience
• +11 more

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 .

Tove Faber FrandsenView profile

Professor

• Bibliometrics
• Citation Analysis
• Scholarly Communication
• +6 more

Tove Faber Frandsen is a Professor in the Department of Design, Media and Educational Science at the University of Southern Denmark (SDU). Her research focuses on bibliometrics, citation analysis, and scholarly communication, with particular expertise in systematic reviews, information retrieval, and research impact evaluation. She actively collaborates with health professions and computer science research groups. PhD (2009) in Library and Information Science Her work includes studying predatory journals' impact on scientific integrity, open access integration, and AI-driven information retrieval. Current projects explore AI in educational contexts and methodological advancements for systematic reviews. Recent publications highlight trends in database optimization, patient-centered healthcare research, and AI applications in education. She serves on review committees (European Science Foundation, OsloMet) and contributes to media discussions about research communication. Frandsen supervises PhD, Master's, and Bachelor's students in interdisciplinary projects spanning health informatics, LIS, and educational technology. Her leadership in methodological frameworks like PICO model evaluation underscores her commitment to research rigor.

• Inverse Problems
• Geostatistics
• Seismology
• +4 more

Klaus Mosegaard is a Professor at the University of Copenhagen's Niels Bohr Institute within the Physics of Ice, Climate and Earth department. His academic affiliation spans decades of research in computational geophysics and inverse problems methodology. His research focuses on computational aspects of inverse problems and geostatistics, with applications across seismology, planetary geophysics, geothermal investigations, and geomagnetism. Key contributions include development of algorithms for nonlinear inversion, particularly through Markov Chain Monte Carlo methods. His work bridges theoretical advances with practical applications in planetary seismology (including Mars interior studies), deep seismic lithosphere analysis, resource exploration, and thermal studies in Greenland ice shelves. Analysis of his 110+ publications reveals consistent innovation in probabilistic inversion techniques, with recent work integrating machine learning (particularly generative adversarial networks) with traditional geostatistical methods for reservoir characterization and facies modeling. His 2023-2025 publications demonstrate ongoing leadership in addressing dimensionality challenges in large-scale inverse problems. Best Paper Award Computers and Geosciences 2008 The Ole Rømer Grant for outstanding research in geophysics (1994) Teaching Award, Faculty of Science, University of Copenhagen (2000) Honorable Mention for Best Papers in Geophysics journal (2011) Mosegaard has delivered 25+ invited lectures on Bayesian inversion paradigms, Monte Carlo methods, and seismic inversion since 2020, including presentations at major international conferences. His research profile shows sustained external collaborations across planetary science and petroleum geophysics fields, with significant contributions to Mars interior modeling through InSight mission data analysis.

• Fan studies
• Participatory culture
• Social media extremism
• +8 more

Line Nybro Petersen is an Associate Professor in Media Studies at the Department of Nordic Studies and Linguistics, Faculty of Humanities, University of Copenhagen. She currently leads the Horizon Europe-funded project 'Social Media Narratives: Addressing Extremism in Middle-Age' (2023-2026), focusing on conspiracy theories, misinformation, and extremism targeting middle-aged populations. Petersen previously held positions at the University of Southern Denmark and completed postdoctoral research on ageing and media at the University of Copenhagen. Her research explores: Fan culture and digital activism dynamics Social media platform studies and extremist content dissemination Mediatization of culture and religion Participatory culture across age groups Political fandom and conspiracy theories Petersen's publications show strong focus on evolving digital phenomena, with recent works examining extremism propagation mechanisms, transmedia fandom psychology, and methodological approaches to analyzing online radicalization. Her research consistently bridges fan studies with critical analysis of emerging social media threats. Awards include: FMKJ's travel grant (2010) Horizon Europe grant (2.8M EUR, 2022) Velux Foundation co-recipient (6.5M DKK, 2013-2016) She actively supervises PhD candidates including Katrine Pedersen (2024-2027) researching ideological grooming, and previously supervised Freja Sørine Adler Berg (2019-2022). As Principal Investigator of the SMIDGE consortium, she coordinates eight international partners studying social media extremism.

• Neurology
• Multiple Sclerosis
• Pharmacology
• +9 more

Thor Petersen is a Professor at the Department of Regional Health Research, affiliated with the University of Southern Denmark and the Research Unit of Neurology at IRS - Hospital Sønderjylland. His work focuses on neurology, particularly multiple sclerosis, clinical trials, and neuroimaging. Education: MD (dr.med.) in medical sciences Research Interests: His research spans multiple sclerosis, cannabis-based pharmacology, modafinil applications, and MRI imaging techniques. Key subfields include microvascular analysis in MS lesions, transcriptome alterations, and pharmacokinetics of cannabinoids. Recent Publications: Highlights include studies on integrator complex dysfunction in MS, microvascular differentiation of MS lesions, and cannabis-based medicine trials. His work also addresses fatigue management in MS patients using modafinil and MRI-based differential diagnosis of neuroborreliosis. Collaborations: Active in international research networks, with collaborations in Denmark and beyond. His work involves large-scale clinical trials and neuroimaging datasets.

Gilles Claude VanwalleghemView profile

Assistant Professor

• Neurobiology
• Molecular Biology
• Zebrafish Research
• +4 more

Gilles Claude Vanwalleghem is a Tenure Track Assistant Professor at Aarhus University, affiliated with the Department of Molecular Biology and Genetics (Neurobiology) and DANDRITE's Vanwalleghem Team. His research spans neuroscience, molecular biology, and zebrafish models. Department: Molecular Biology and Genetics - Neurobiology Institution: Aarhus University (Denmark) His research interests focus on neuro-immune interactions, oxytocin signaling, and brain network dynamics using zebrafish as a model organism. Specializations include calcium imaging, graph topology analysis, and developmental disorders like autism. Recent publications highlight interdisciplinary work in neuro-immune interactions in autism, optopharmacological tools for oxytocin control, and network neuroscience approaches to zebrafish visual habituation. Key themes include neurodevelopmental mechanisms and systems biology. Collaboration networks span neuroscience, molecular biology, and immunology, with strong emphasis on zebrafish models for studying pervasive developmental disorders and neural coding.

• Renal Hemodynamics
• Hypertension
• Renal Autoregulation
• +7 more

Charlotte Mehlin Sørensen is an Associate Professor at the Department of Biomedical Sciences, University of Copenhagen, specializing in renal hemodynamics and hypertension. Her research focuses on renal autoregulation, vascular topology, gap junctions, ion channels, and the renin-angiotensin system in disease models. Faculty of Health and Medical Sciences, UCPH Group leader of Sørensen Group Co-administrator of Telemetry Unit for Cardiovascular Phenotyping She has a PhD in Health Sciences (2004) and Master/Bachelor degrees in Human Biology and Biology from UCPH. Her career includes postdoc work, assistant professorships, and a year as a drug discovery project leader at Zealand Pharma. Her research integrates super-resolution ultrasound imaging, GLP-1 receptor signaling, and computational modeling to study renal microcirculation in hypertension and diabetes. Collaborations span DTU, University Hospital Copenhagen, and international institutions. Grant recipient of NNF, Augustinus Foundation, ERC Synergy, and Innovation Fund Denmark awards. She supervises 14 PhD students (7 main, 7 co) and teaches renal physiology and pharmacology. She co-authored the textbook Basal Nyrefysiologi used at UCPH. Member: American Physiological Society, Danish Hypertension Society, Scandinavian Physiological Society Co-founder of Vascular Physiology Special Interest Group

• Computational Social Science
• Health
• Network Science
• +5 more

Luca Rossi is a Senior Research Scientist at ISI Foundation in Turin, Italy, specializing in computational epidemiology and network science. He is a key contributor to the Influcast project, which forecasts influenza-like illnesses in Italy by aggregating predictions from multiple models. His research spans multiple disease outbreaks including influenza, Zika virus, Ebola, and SARS-CoV-2 (COVID-19), with recent publications appearing in high-impact journals such as Nature and Science. Rossi's research focuses on integrating computational models with real-world data to forecast disease spread and evaluate intervention strategies. He employs network science approaches to understand transmission dynamics, particularly examining how human mobility patterns influence epidemic spread. His work often involves large-scale data analysis, mathematical modeling, and interdisciplinary collaboration with institutions across Europe and the United States. His publication record demonstrates expertise in pandemic risk assessment, evaluating the effectiveness of travel restrictions, and developing forecasting frameworks for infectious disease outbreaks. Rossi has made significant contributions to understanding the international spread of infectious diseases through air travel networks and the role of cryptic transmission in early epidemic phases. Rossi maintains extensive collaborations, particularly with Alessandro Vespignani's group at Northeastern University and researchers at Fondazione Bruno Kessler. His work bridges computational science, public health, and policy, providing evidence for decision-making during epidemic emergencies. The Influcast project, which he contributes to, represents one of the first national hubs for epidemiological forecasts in Italy, aggregating estimates from multiple research teams to inform public health responses.

• Information Sciences
• Computer Science
• Artificial Intelligence
• +3 more

David Gutelius serves as a Research Fellow at the Information Sciences Institute (ISI), a premier research organization within the University of Southern California. ISI specializes in advancing information processing, communication technologies, and computational systems through interdisciplinary research. His scholarly focus spans critical domains of modern information science, including: Computer Science Artificial Intelligence Networking infrastructures Data Science methodologies Cybersecurity frameworks Information systems architecture As a core research member at ISI, Gutelius contributes to high-impact projects addressing national security challenges, internet evolution, and large-scale data analysis, leveraging the institute's unique position at the intersection of academia, government, and industry partnerships.

Frank SchweitzerView profile

Professor

• Complex Systems
• Network Science
• Socio-economic Systems
• +3 more

Frank Schweitzer is a Full Professor for Systems Design at ETH Zurich since 2004 and an associated member of the Department of Physics. His career includes research positions at the Max-Planck Institute for the Physics of Complex Systems, Fraunhofer Institute for Autonomous Intelligent Systems, Humboldt University Berlin, Cornell University, and Emory University. He holds a Dr. rer. nat. in theoretical physics and a Dr. phil. in philosophy of science, with habilitation in Physics. Schweitzer initiated and led the German Physical Society's section for physics of socio-economic systems (AKSOE) from 2001-2005 and co-founded the European Network of Excellence 'Complex Systems' (EXYSTENCE) (2001-2006), serving on the DPG council (2006-2009). His research focuses on complex systems through the lens of statistical physics, specializing in socio-economic network dynamics, systemic risk modeling, and innovation diffusion. He bridges physics, economics, and computer science to analyze emergent phenomena in interconnected systems, with particular emphasis on financial networks and market stability. His publication record centers on economic network theory, exemplified by the influential 2009 Science article that established network approaches as critical for understanding modern economic interdependencies and systemic vulnerabilities. Scientific recognition includes: ETH Zurich Fellow (2013) While specific grant details and advisees aren't documented in the source text, Schweitzer's leadership in EXYSTENCE and AKSOE demonstrates his commitment to building interdisciplinary research ecosystems. His collaborative framework has enabled large-scale studies of complex socio-economic phenomena across European institutions. He remains active in the global complex systems community through ongoing participation in DPG initiatives and international research networks focused on network science applications.

Wouter Van den BroeckView profile

Research Fellow

• Network Science
• Computational Social Science
• Epidemiology
• +3 more

Wouter Van den Broeck is a Research Fellow at the ISI Foundation in Turin, Italy, specializing in the intersection of network science, computational social science, and epidemiology. His research focuses on: Empirical analysis of human contact networks using wearable sensor technology Computational modeling of infectious disease transmission dynamics Development of tools for epidemic forecasting and public health intervention From 2009 to 2013, Dr. Van den Broeck published 15 influential papers that established new methodologies for measuring face-to-face interactions in real-world settings (schools, hospitals, conferences) and applying this data to model pandemic influenza spread. His work during the 2009 H1N1 pandemic provided critical insights for resource allocation and intervention strategies through spatially structured epidemic models and global simulation tools like GLEaMviz. He has collaborated extensively with leading researchers including Alain Barrat, Ciro Cattuto, and Alessandro Vespignani across multiple high-impact publications in journals such as PLoS ONE, BMC Medicine, and EPJ Special Topics, demonstrating consistent contributions to understanding how network structures influence disease transmission.

Chuna Ram ChoudharyView profile

Professor

• Protein Post-Translational Modifications
• Cell Signaling Networks
• Proteomics
• +5 more

Dr. Chuna Ram Choudhary is a Professor and Group Leader at the Novo Nordisk Foundation Center for Protein Research (CPR) within the Faculty of Health and Medical Sciences at the University of Copenhagen , Denmark. His academic journey includes a PhD in Biochemistry (University of Münster, Germany, 2001–2006) and postdoctoral training at the Max Planck Institute for Biochemistry (2007–2009). He leads a research group focused on protein posttranslational modifications (PTMs) —particularly lysine acetylation and ubiquitylation —using quantitative mass spectrometry to map their roles in cell signaling networks and DNA repair . Research interests center on systems-wide analysis of PTMs, emphasizing their dynamic regulation of protein activity, stability, and localization in health and disease. His lab has pioneered methods for site-resolved acetylation stoichiometry and ubiquitylation dynamics , revealing connections between metabolism , transcription , and genome integrity . Collaborations span national and international institutions , including groups at CPR and beyond. Research output trends show a focus on ubiquitin and acetylation signaling , DNA repair mechanisms , and enhancer-promoter compatibility . His work has significant implications for cancer biology , cardiovascular diseases , and developmental processes . Scientific awards include: 2015: ERC Consolidator Grant 2014: Junior Researcher Prize (Danish Cancer Society) 2014: Hallas Møller Investigator Grant (NNF) 2013: EMBO Young Investigator 2012: Sapere Aude Grant (Danish Research Council) 2009: Artur Pappenheim Prize (German Society of Hematology and Oncology) Lab activities involve cutting-edge proteomics and mass spectrometry , with a strong emphasis on translational research and therapeutic target identification .

• Aging Research
• Cellular Senescence
• Deep Learning Applications
• +3 more

Indra John Heckenbach is a Guest Researcher at the University of Copenhagen's Department of Cellular and Molecular Medicine, affiliated with the Molecular Aging Program. He completed his Ph.D. in 2023 focusing on deep learning approaches to characterize cellular senescence in aging and age-related diseases. His research integrates computational biology with molecular aging studies, with key interests including: Application of deep learning to senescence detection in medical imaging NAD+ metabolism in aging and disease processes Development of predictive models for cancer risk assessment Metabolic reprogramming in cellular aging Heckenbach's publications demonstrate a consistent focus on developing AI-driven diagnostic tools for age-related pathologies, particularly using nuclear morphology patterns to predict disease risk. His collaborative work spans clinical trials examining NAD+ therapeutics and fundamental research into metabolic regulation of aging.

Sebastian MarquardtView profile

Associate Professor

• Non-coding Genome
• RNA Processing
• Chromatin Biology
• +5 more

Dr. Sebastian Marquardt is an Associate Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen , leading the Molecular Plant Biology section. His research focuses on uncovering molecular mechanisms of the non-coding genome and its role in organismal fitness. Education : PhD in Biological Sciences from the University of East Anglia (dissertation: Linking RNA Processing to Chromatin via Flowering Time Study) Research interests include: RNA polymerase II transcription in non-coding regions Short promoter-proximal RNAs (sppRNAs) and their correlation with gene expression Chromatin-based signaling during transcriptional interference Co-transcriptional RNA processing and modification Recent publications address topics like non-coding RNA isoforms in food security, co-transcriptional miRNA processing, and histone chaperone mechanisms in Arabidopsis. His work emphasizes transcriptional dynamics over RNA product functionality. Scientific awards include: EMBO Young Investigator Program (2020) Hallas-Møller Investigator Award (2015) European Research Council Starting Grant (2017) Novo Nordisk Ascending Investigator (2021) Marquardt supervised BSc thesis student Julie Overgaard Hansen and hosted researcher Lucia Gonzalo (2023). His laboratory developed innovative methods for detecting non-coding transcription units missed by conventional approaches.

Takao HenschView profile

Professor

• Neuroscience
• Brain Development
• Critical Periods
• +4 more

Takao Hensch is a distinguished Professor of Neurology at Harvard Medical School/Boston Children's Hospital and Professor of Molecular and Cellular Biology at Harvard University's Center for Brain Science. He serves as Director of the International Research Center for Neurointelligence (IRCN) at the University of Tokyo and leads the NIMH Silvio Conte Center for Mental Health Research at Harvard. His groundbreaking work focuses on critical periods in brain development—windows of heightened plasticity when neural circuits are most responsive to environmental input. Hensch's research has revealed how specific inhibitory (GABA) circuits trigger the onset of critical periods and how 'brake'-like factors actively prevent circuit rewiring when these periods close. His laboratory integrates molecular, cellular, and systems neuroscience to understand how early life experiences shape brain function from motor skills to language and emotions. This work has profound implications for understanding and treating neurodevelopmental disorders including autism spectrum disorders, epilepsy, and amblyopia. Analysis of Hensch's recent publications shows a consistent focus on critical period mechanisms across multiple brain systems. His work demonstrates how molecular interventions can reopen plasticity windows in adulthood, with particular emphasis on GABAergic circuits, perineuronal nets, and oxidative stress mechanisms. Recent studies examine anesthesia effects on infant brain development, sex-specific responses to early adversity, and novel pharmacological approaches for restoring neural plasticity. Order of the Rising Sun, Gold Rays with Neck Ribbon (2024) NIH Director's Pioneer Award (2007) Mortimer D. Sackler, M.D. Prize for Distinguished Achievement in Developmental Psychobiology (2016) Society for Neuroscience Young Investigator Award - Japan (Tsukahara Prize, 2001) Society for Neuroscience Young Investigator Award - US (2005) Hensch has trained numerous PhD students and postdoctoral fellows who have gone on to successful careers in neuroscience. His laboratory receives substantial funding from the National Institute of Mental Health and other sources to investigate the biological basis of critical periods and their clinical applications. Current research focuses on translating basic findings into therapeutic approaches for neurodevelopmental disorders through collaborations with clinicians at Boston Children's Hospital and computational modelers. The Hensch Lab, housed in Harvard's Northwest Building and the F.M. Kirby Neurobiology Center at Boston Children's Hospital, maintains active collaborations with researchers at the University of Tokyo, RIKEN Brain Science Institute, and other international institutions. The lab employs state-of-the-art techniques in mice to explore neural circuit development from sensory systems to prefrontal cortex, with particular emphasis on translating findings into real-world applications for pediatric care and mental health treatment.