Aristides Gionis is a Research Professor Fellow at Aalto University specializing in advanced network analysis and data mining. His work bridges theoretical graph algorithms with practical applications in dynamic and signed networks. His research focuses on graph theory and temporal network analysis , particularly in discovering dense subgraphs, community structures, and event patterns in evolving networks. Key methodologies include contrastive subgraph mining for explainable AI in brain networks and polarization detection in social systems. His publication trends reveal consistent contributions to top-tier venues like KDD, PAKDD, and ECML PKDD, with emphasis on algorithmic solutions for network segmentation, correlation mining, and interpretable classification. Primary application domains include social networks, neuroscience, and temporal data streams. As a Fellow at Aalto University, he leads research in computational network science without explicit departmental affiliation stated in available sources.
Carsten Dahl Mørch is an Associate Professor at the Department of Health Science and Technology, Faculty of Medicine, Aalborg University. He leads the Cutaneous Pain Research Laboratory and is affiliated with the Center for Sensory-Motor Interaction and the Translational Pain Neuroscience and Precision Health Center. His research focuses on pain mechanisms, diabetic neuropathy, peripheral nerve function, and neuroplasticity. He holds a Ph.D. in Biophysics and an M.Sc. in Biophysics. Education: Ph.D. in Biophysics (2006) M.Sc. in Biophysics (2002) Research Interests: Diagnosis of small fiber neuropathy Experimental methods for studying hyperalgesia Digitalization of human neuroscience Pain perception complexity Neuropathic pain in diabetes Key Projects: Diabetic Peripheral Neuropathy: Early detection and severity grading (2018–present) Computational modeling of peripheral nerves (2017–present) Assessment of oxaliplatin-induced peripheral neuropathy (2014–present) Labs/Teams: Cutaneous Pain Research Laboratory Center for Neuroplasticity and Pain
Celia Kjærby is an Associate Professor at the Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, where she also leads the Division of Sleep-Arousal State Transitions at the Center for Translational Neuromedicine. Her research focuses on understanding sleep micro-structures and their role in cognitive performance and brain health. Education: PhD, Graduate School of Health and Medical Sciences, University of Copenhagen (2012) M.Sc. (human biology), Faculty of Health and Medical Sciences, University of Copenhagen (2007) Bachelor of Science (biology), Faculty of Sciences, University of Copenhagen (2004) Kjærby's research investigates how sleep-arousal transitions impact restorative sleep processes related to memory consolidation and waste clearance. Her work is particularly relevant for understanding neurodegenerative and neuropsychiatric disorders where sleep disturbances play a significant role. She examines the complex micro-structures of sleep and how frequent short arousals contribute to normal sleep function. Her recent publications (2024-2025) reveal a strong focus on the glymphatic system, cerebral blood flow regulation during sleep, and the relationship between sleep disturbances and neurodegenerative conditions like Alzheimer's disease. Her research integrates advanced techniques including CRISPR/Cas9, fluorescent imaging, and machine learning approaches to analyze sleep patterns. Scientific Recognition: Member of Lundbeck Foundation Investigator Network (LFIN) (2022) Cover feature in Nature Neuroscience (August 2022) Kjærby has secured significant research funding including the Lundbeck Foundation Fellow award (2023), Lundbeck Foundation Seed Grant (2023), and an Inge Lehmann independent grant from the Independent Research Fund Denmark (2022). She serves on the editorial board of Frontiers in Neural Circuits and reviews for prestigious journals including Nature and Neuron. She is also active in scientific outreach, regularly participating in public lectures and media interviews about sleep science. She leads the research group focused on Sleep-Arousal State Transitions and has been instrumental in organizing neuroscience events including the monthly 'DIM the Brain' forum for students and postdocs at the University of Copenhagen since 2016.
Marco Pizzolato is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), specializing in Visual Computing with a focus on Magnetic Resonance Imaging (MRI), particularly diffusion MRI and biophysical modeling. He is also affiliated with the inter-departmental Microstructure & Plasticity (MAP) research group and has held visiting positions at the University of Verona, EPFL, and DRCMR. His educational background includes a PhD in Signal and Image Processing from INRIA Sophia Antipolis, a Master’s in Bioengineering from the University of Padua, and a Bachelor’s in Biomedical Engineering from the same institution. He previously served as an Assistant Professor at DTU and was a postdoctoral researcher under the Marie Curie COFUND Eurotech programme. Dr. Pizzolato's research centers on image and signal denoising, inverse problems, optimization, diffusion MRI, tractography, and Monte Carlo simulations. He actively contributes to the development of microstructural models for brain imaging, with applications in neurodegenerative diseases and brain connectivity. His work aligns with UN Sustainable Development Goals, particularly in advancing education and health through imaging technology. The recent publications reflect a strong trend in advancing diffusion MRI techniques, including ACID imaging, microscopic propagator modeling, myelin integrity mapping, and multi-scale white matter organization. These works emphasize biophysical accuracy, model validation, and integration across imaging modalities and species. Magna Cum Laude , ISMRM 2020 Magna Cum Laude , ISMRM 2022 First Place , Macaque Validation Challenge at ISBI 2018 First Place (Overall and HCP) , IronTrack Challenge 2019 (MICCAI) MICCAI Student Travel Award 2015 He has supervised PhD students such as Thøgersen, T. L. and Corral Bolaños, M. in projects related to microstructure MR imaging and myelin mapping. He has also been involved in significant grants and collaborative projects, including the Multimodal Microstructure-Informed Connectivity (MMINCARAV) initiative between Inria and EPFL, and the Sinergia consortium for Brain Communication Pathways . He co-organized multiple international events, including the MICCAI CDMRI workshops and challenges (2019–2021), and the ESMRMB Leaps in Microstructure Imaging workshop (2024). Dr. Pizzolato is an active member of the scientific community, serving as an editor for MICCAI workshop proceedings, a reviewer for major journals and conferences, and an invited speaker at ISMRM 2025. He leads and participates in several ongoing research projects at DTU focused on quantitative imaging, myelin mapping, and MRI-based connectivity, demonstrating sustained research leadership and external funding success.
Anne Kær Gejl is an Associate Professor at the Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, where she conducts research in the Research Unit of Exercise Epidemiology. Her work bridges public health, exercise science, and educational psychology, with a strong focus on physical activity's role in cognitive and mental health development among children and adolescents. Her research interests center on physical activity , cognitive function (especially inhibitory control and executive function), brain-derived neurotrophic factor (BDNF) , and child development . She investigates how structured physical activity and screen-free interventions can enhance pre-reading, spelling, and mental health outcomes in young populations. Her work often employs randomized controlled trials , systematic reviews , and population-based studies , reflecting a rigorous methodological approach. Recent publications highlight trends in embodied learning , digital screen use , and feasibility of behavioral interventions . Her research consistently emphasizes the integration of physical activity into educational settings to support both academic and psychological well-being. Scientific Awards: None listed in the provided text. Anne Kær Gejl actively mentors students, including PhD candidates such as Anne Sofie Bøgh Malling and Lars Damsgaard. She has been involved in significant research grants related to physical activity interventions and educational outcomes, though specific grant names are not detailed. Her collaborative network includes researchers from public health, sports science, and education disciplines. She is part of the Research Unit of Exercise Epidemiology, contributing to team-based studies on youth health, physical activity monitoring, and cognitive development. Her lab engages in both experimental and observational research, often in school and community settings.
Poul G. Hjorth is an Associate Professor in the Department of Applied Mathematics and Computer Science (DTU Compute) at the Technical University of Denmark (DTU). He specializes in dynamical systems, mathematical modeling, and industrial applied mathematics, with strong interdisciplinary ties to neuroscience and industrial problem-solving. He has held visiting positions at the University of Southern Denmark and maintains affiliations with the University of Copenhagen as an External Lecturer. Ph.D. in Mathematical Physics, University of California, San Diego (1988) cand.scient in Mathematics, University of Copenhagen (1982) His research focuses on mathematical physics, classical mechanics, dynamical systems, and geometry , particularly in real-world industrial applications. He has been instrumental in organizing the European Study Groups with Industry (ESGI) in Denmark and is Executive Director of the European Consortium for Mathematics in Industry (ECMI). His recent work includes modeling the glymphatic system and cerebrospinal fluid dynamics in the brain, contributing to neuroscience and medical research. The most recent publications reflect a shift toward interdisciplinary applications, especially in neuroscience, fluid dynamics, and environmental modeling , while maintaining a strong foundation in pure and applied mathematics. Themes include brain efflux, phytoplankton dynamics, and philosophical explorations of probability and cosmology. DTU Teaching Award (2010) Hjorth has supervised students and led multiple long-term research projects since the 1990s. He serves as Editor for the Danish Mathematical Society Newsletter Matilde and the Fields Institute journal Mathematics in Industry Case Studies . His collaborative network spans institutions in Denmark, Israel, the UK, and the USA, reflecting his international engagement in both research and academic service.
Hans Martin Kjer is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he is affiliated with the UltraSound and Biomechanics group within the Visual Computing Center and the Center for Fast Ultrasound Imaging. His research bridges engineering and medical imaging, with a strong emphasis on developing and validating advanced ultrasound techniques for biomedical applications. Research Interests: His work focuses on super-resolution ultrasound imaging, microvascular analysis, 3D reconstruction of biological structures, and image registration. He applies computational methods to improve the resolution and accuracy of ultrasound, particularly in renal and lymph node vasculature imaging. His research contributes to the UN Sustainable Development Goals in health and well-being through innovative diagnostic tools. Publication Trends: Over the past several years, Kjer has consistently published in high-impact journals and conferences in biomedical engineering and imaging. His recent work emphasizes the validation of super-resolution ultrasound against micro-CT, realistic 3D blood flow simulation, and the application of AI in enhancing imaging resolution. These studies reflect a strong trend toward quantitative, reproducible, and clinically relevant imaging solutions. Scientific Contributions: While no specific awards are listed, his leadership in major research projects and frequent collaborations with leading experts in ultrasound (e.g., Jørgen Arendt Jensen) underscore his significant role in the field. Advising and Funding: Kjer serves as a supervisor and principal investigator in several funded research initiatives, including AI for Extreme Super-Resolution CT , 3DIM: 3D Imaging Center , and QIM: Center for Quantification of Imaging Data from Max IV . He mentors PhD students and collaborates across disciplines, contributing to both biomedical and materials science imaging projects. Laboratories and Teams: He is an integral member of the Center for Fast Ultrasound Imaging and the Visual Computing Center at DTU. These teams focus on cutting-edge ultrasound technologies, image processing algorithms, and multimodal imaging integration, positioning Kjer at the forefront of computational biomedical imaging in Denmark.
Tue Herlau is an Associate Professor at the Department of Applied Mathematics and Computer Science, Cognitive Systems, within the College of Engineering at Technical University of Denmark. His research focuses on modeling complex networks using Bayesian methods, particularly applied to brain imaging data. He explores multiscale structures in networks (ranging from individual nodes to large-scale temporal dynamics) and causal inference in social and biological systems. Education : Bachelor in Physics and Mathematics (University of Copenhagen), Masters in Informatics (DTU) Recent publications highlight work on generative AI for educational psychology, causal probability trees, Bayesian neural network training, and moral reinforcement learning. Key collaborations span institutions in Denmark and international partners in AI and neuroscience research. He supervises students in probabilistic methods and machine learning applications, including a 2019-2020 Master project on prognostics for carbon/epoxy composites. His network shows strong engagement with computational science, relational databases, and formal concept analysis.
Jessica Mariana Carlsson is a Research Associate Professor at the University of Copenhagen and Head of Research at the Competence Centre for Transcultural Psychiatry (CTP), Mental Health Services in the Capital Region of Denmark. She is also Co-PI of the CultMind project and leads a dynamic research group at both CTP and Trauma Research and Treatment (TREAT) at Mental Health Centre Ballerup. Her role integrates research leadership, clinical work, teaching, and supervision. Research Interests: Jessica's work centers on transcultural psychiatry and clinical research on trauma-affected populations, particularly refugees. Her primary focus includes PTSD, treatment development, cultural influences on mental health, and the integration of research with clinical practice through the Treatment and Research Integrated Model (TRIM). She employs both quantitative and qualitative methods and leads neurobiological studies using MRI and EEG. Research Trends: Her recent publications (2023–2025) show a strong emphasis on developing and validating assessment tools (e.g., ScoRE-SR), understanding sleep and pain in PTSD, refining diagnostic processes for migrants, and evaluating interprofessional care models. The studies often involve multidisciplinary collaboration and are published in high-impact journals in psychiatry, sleep research, and transcultural mental health. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Jessica supervises a growing research group and mentors junior researchers. While specific grant details are not listed, her leadership in multiple clinical trials and research initiatives (e.g., CultMind, TRIM) indicates substantial grant-funded work. She actively collaborates with national and international researchers and clinicians, contributing to a broad network in trauma and transcultural mental health. Labs and Teams: She leads research activities at the Competence Centre for Transcultural Psychiatry (CTP) and the Trauma Research and Treatment (TREAT) unit at Mental Health Centre Ballerup. These teams focus on clinical trials, diagnostic innovation, cultural assessment, and neurobiological research in trauma-affected refugees.
Felix Björklund Osmark is an Lecturer at the Department of Computer Science , University of Copenhagen. His work is affiliated with the Machine Learning section and the SCIENCE AI Centre, focusing on interdisciplinary applications of artificial intelligence. Current research interests include quantum computing , natural language processing , and sustainable AI . Recent publications highlight hybrid quantum-classical systems, biomedical applications of machine learning, and ethical considerations in AI development. His collaborative efforts span domains like structural biology , climate science , and medical diagnostics , leveraging the department's compute cluster and TreeSense research center resources.
David Robert Shannon is an Instructor at the Department of Computer Science, University of Copenhagen. He contributes to teaching and research within the Machine Learning section, which participates in the SCIENCE AI Centre. University: University of Copenhagen Department: Department of Computer Science Section: Machine Learning His research interests span theoretical and applied machine learning, focusing on natural language processing, information retrieval, medical image analysis, computational biology, and quantum computing applications. He utilizes the department's powerful compute cluster for projects involving AI's environmental impact, quantum algorithms, and biomedical data modeling. Recent publications highlight work in quantum-inspired neural networks, sustainable AI, medical diagnostics, and cross-cultural computational frameworks. Key themes include ethical considerations in AI, hybrid quantum-classical systems, and multimodal data analysis. David collaborates with the Machine Learning section and SCIENCE AI Centre, leveraging resources like TreeSense for remote sensing and deep learning of global tree resources. The section's activities range from foundational research to applications in sustainability and biological data modeling.
Steven Alan Goldman is a Professor at the Center for Translational Neuromedicine within the Faculty of Health and Medical Sciences at the University of Copenhagen. His research focuses on fundamental neuroscience with particular emphasis on glial cell biology, neurodegenerative diseases, and brain tumor mechanisms. Based in Copenhagen, Denmark, he maintains an active research program with significant international collaborations as evidenced by his extensive publication record. Professor Goldman's research interests span several critical areas of modern neuroscience. His work on glial progenitor cell transplantation has shown promise for treating neurodegenerative conditions like Huntington's disease. He has made significant contributions to understanding the glymphatic system and its role in brain waste clearance during sleep. His investigations into glioblastoma biology have revealed novel mechanisms involving tumor vasculature, cholesterol metabolism, and lymphatic-like structures within brain tumors. His research bridges basic science with translational applications, aiming to develop novel therapeutic approaches for currently intractable neurological conditions. Goldman's scientific impact is substantial, with his work being widely disseminated through major neuroscience journals including Nature Neuroscience, Nature Communications, Cell Reports, and Brain. His research has garnered significant attention in the scientific community, with multiple publications receiving considerable citations and media coverage across numerous news outlets and social media platforms. His work on the glymphatic system has been particularly influential in reshaping our understanding of brain physiology during sleep. Throughout his career, Professor Goldman has maintained a strong focus on mentoring and collaboration, working with numerous researchers across different institutions to advance our understanding of the central nervous system. His laboratory serves as a hub for interdisciplinary research, bringing together expertise from neuroscience, cell biology, oncology, and regenerative medicine to tackle complex problems in brain health and disease.
Alexander Tobias Ysbæk-Nielsen serves as an Instructor at the Study Board of Psychology and Research Assistant at the Department of Biomedical Sciences (Torekov Group) at the University of Copenhagen. His academic work bridges the Faculty of Social Sciences and the Faculty of Health and Medical Sciences, reflecting his interdisciplinary approach to neuroscience and psychiatry. He is currently completing his MSc in Psychology (expected June 2025) following the completion of his BSc in Psychology in July 2023, both from the Department of Psychology at the University of Copenhagen. His external positions include work at the Psychiatric Center Ballerup (Region Hovedstaden), Neurobiology Research Unit at Copenhagen University Hospital - Rigshospitalet (2023-2025), NEAD Centre at Mental Health Services Glostrup (2021-2023), and CAMES (Region Hovedstaden). Ysbæk-Nielsen's research focuses on the neural mechanisms underlying mood disorders, particularly bipolar disorder and depression. His work employs advanced neuroimaging techniques including fMRI and structural MRI to investigate brain connectivity, volumetric abnormalities, and treatment effects. A significant portion of his research examines the cognitive side effects of electroconvulsive therapy and potential protective interventions. His work also extends to schizophrenia spectrum disorders, anxiety disorders, and Parkinson's disease, demonstrating a broad application of neuroimaging methodologies across psychiatric conditions. His publication record shows a clear trajectory of increasing sophistication in neuroimaging analysis, with recent work incorporating connectome-based predictive modeling and longitudinal assessments of brain structure and function. The research consistently addresses clinically relevant questions about treatment mechanisms, cognitive outcomes, and neural biomarkers for psychiatric conditions. Scientific Awards: Psychology Instructor of the Year (2024) - recognized across multiple news outlets and social media platforms with significant academic engagement Ysbæk-Nielsen's research collaborations span multiple clinical and research institutions in the Copenhagen area, working closely with senior researchers in mood disorders and neuroimaging. His position within the Torekov Group at the Department of Biomedical Sciences provides access to advanced neuroimaging facilities and clinical populations. His future work appears to be expanding into longitudinal studies of first-degree relatives of bipolar disorder patients, suggesting continued growth in understanding the neurobiological underpinnings of psychiatric conditions.
Mikael Novén serves as an Assistant Professor in the Movement and Neuroscience division of the Department of Nutrition, Exercise and Sports at the University of Copenhagen. His research program bridges aging studies, motor control, and neuroimaging with a focus on how the aging brain learns fine-motor skills using advanced MRI techniques including functional imaging, diffusion-weighted data, and quantitative T1 mapping. His research interests center on aging-related changes in motor learning , brain structural networks , and language processing mechanisms . Using MRI methodologies, he investigates functional and structural reconfigurations during precision pinch tasks while also exploring brain correlates of phonological proficiency. His work spans cognitive neuroscience, gerontology, and MRI physics development with particular emphasis on sensorimotor integration across the lifespan. Analysis of his publication record reveals consistent research trajectories in age-related motor control differences (particularly 2024-2025 bimanual tracking studies), neurolinguistics (2021-2024 language processing work), and MRI methodology development (2021 physics paper). His recent work increasingly focuses on comparative analyses between younger and older adults, with three 2024-2025 publications specifically addressing aging effects on motor skill acquisition. Dr. Novén maintains active professional engagement through Twitter (@NeuroLingMi) and GitHub (MikNoven), with research outputs appearing in high-impact journals including NeuroImage, Human Brain Mapping, and Frontiers in Aging Neuroscience. His Scopus Author ID is 57199058849 and ORCID is 0000-0003-0256-0522.
Claus Juul Løland is an Associate Professor in the Department of Neuroscience within the Faculty of Health and Medical Sciences at the University of Copenhagen. His research focuses on neuropharmacology, particularly examining the biochemical effects of substances like cocaine and amphetamines in the brain, addiction mechanisms, and the dopamine reward system. Position: Associate Professor Institution: University of Copenhagen Department: Department of Neuroscience Research Group: Neuropharm and Genetics Location: Blegdamsvej 3B, 2200 Copenhagen N Løland's primary research interests center on understanding drug addiction mechanisms, particularly related to cocaine and amphetamines, with specific expertise in the dopamine transporter system. His work investigates how these substances interact with brain chemistry to produce addictive behaviors, including research on smoking addiction and the dopamine reward system. His laboratory employs advanced biochemical and structural biology techniques to study neurotransmitter transporters at the molecular level. Analysis of his recent publications (2024-2025) reveals a strong focus on membrane protein biochemistry, particularly neurotransmitter transporters. His work combines structural biology approaches (including NMR spectroscopy) with medicinal chemistry to understand how psychoactive substances like cocaine interact with their molecular targets. A significant portion of his recent work involves developing novel detergents for membrane protein stabilization, which is crucial for structural studies of neurotransmitter transporters. Løland leads the Løland-lab at the University of Copenhagen, which maintains an active research program with numerous international collaborations. His work has been featured in major media outlets including TV2 Nyhederne and other Danish news media, particularly around breakthroughs in understanding cocaine's mechanism of action in the brain.
