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Mikkel N. SchmidtView profile

Associate Professor

• Statistical Modeling
• Machine Learning
• Bayesian Methods
• +3 more

Mikkel N. Schmidt is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on statistical modeling, Bayesian methods, and their applications in science and industry. He has held visiting roles at Columbia University (2007) and Cambridge University (2008-2009). His work integrates probabilistic modeling with computational inference to address complex problems in diverse fields such as molecular discovery, optical communication, and brain connectivity analysis. Education highlights include visiting scholar and postdoctoral experiences at top-tier institutions. Research interests span statistical methodology development, machine learning applications, and interdisciplinary problem-solving. Current projects involve Bayesian neural networks for molecular discovery and federated learning optimization. Advising efforts include supervising multiple PhD students in areas like molecular discovery and denoising diffusion models. Notable collaborations involve work on materials science, quantum communication, and medical signal processing. His contributions bridge theoretical advancements with practical industrial applications, emphasizing interdisciplinary innovation.

Kunihiko KanekoView profile

Professor

• Theoretical Biophysics
• Complex Systems
• Chaos
• +6 more

Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.

Sebastian RisiView profile

Professor

• Neuroevolution
• Evolutionary Robotics
• Self-Organizing AI
• +9 more

Sebastian Risi is a Professor at the IT University of Copenhagen , where he directs the Creative AI Lab and co-directs the Robotics, Evolution and Art Lab (REAL) . His work bridges computational evolution, deep learning, and collective intelligence for applications in robotics, art, and video game design. His research focuses on self-organizing AI systems that grow or assemble through local interactions, inspired by biological development. Key areas include neuroevolution , neural cellular automata , and generative modeling , with applications in adaptive robotics, game content creation, and damage-resilient AI. Recent publications highlight trends in self-assembling neural architectures (NDPs) and 3D functional machine generation (Minecraft experiments). Awards include ERC Consolidator Grant (2022), Best Paper at FDG’21 , and Google Faculty Award (2019). Scientific Awards : ERC Consolidator Grant (GROW-AI), Best Paper FDG’21, Runner-Up IEEE Games’20, GECCO 2017 Competition Winner, Sapere Aude Grant, Amazon/Google Faculty Awards He advises on projects like GROW-AI (EU-funded), AI-TESTER (game testing), and C2SIM (military systems). Media coverage includes Science , Wired , and Popular Science .

• Machine Learning
• Medical Image Analysis
• Deep Learning
• +5 more

Erik Bjørnager Dam is a Professor in the Machine Learning section at the Department of Computer Science, University of Copenhagen (UCPH). His research spans theoretical foundations of machine learning to practical applications in medical data analysis, sustainability, and materials science. His key research interests include: Small-scale and resource-efficient deep learning Medical image analysis and segmentation Sustainable and environmentally conscious AI development Graph neural networks for materials science Resource-constrained AI systems Professor Dam's recent publications demonstrate a strong focus on making AI more accessible and sustainable while maintaining high performance standards. His work on 'Performance Per Resource Unit' metrics addresses critical challenges in deploying AI in resource-limited environments, particularly in healthcare applications. His research bridges theoretical machine learning with practical implementations across multiple domains. His notable professional activities include: Co-founding Cerebriu A/S (since 2018) Co-founding Biomediq A/S (since 2008) Delivering lectures on AI's role in green transition (April 24, 2023) Media contributions on deep learning applications in plant research (September 13, 2018) With 74 documented research outputs, Professor Dam maintains an active research profile with significant contributions in 2023-2025 across medical imaging, sustainable AI, and materials science applications.

Luis Emilio BruniView profile

Associate Professor

• Narrative Cognition
• Extended Reality
• Cognitive Processes
• +6 more

Luis Emilio Bruni is an Associate Professor at Aalborg University’s Department of Architecture, Design and Media Technology, within The Technical Faculty of IT and Design. He leads the Media Cognition and Interactive Systems (MeCIS) research group and coordinates the Master of Science in Medialogy. Bruni is also the founder and director of the Augmented Cognition Lab, focusing on perception, cognition, and immersive technologies. His academic roles include PI on multiple interdisciplinary projects and board memberships in international associations like the Nordic Association for Semiotic Studies (2011–2017) and the International Society for Biosemiotic Studies (founding member, 2005). Academically, Bruni holds a Ph.D. in Molecular Biology and Theory of Science (University of Copenhagen), M.Sc. in International and Global Relations (Universidad Central de Venezuela), and B.Sc. in Environmental Engineering (Pennsylvania State University). His research spans narrative cognition, extended reality, biosemiotics, and the interplay between technology, cognition, and culture. He has conducted projects on neurocinematic analysis, interactive storytelling, and the psychological impact of digital media. Key research contributions include studies on EEG responses to branded advertising, functional connectivity in psychiatric disorders, and the role of narrative in immersive technologies. Bruni’s work bridges cognitive science, computer science, and semiotics, with applications in healthcare (e.g., pediatric counseling tools) and cultural engagement (e.g., citizen curation systems). Over 80+ publications and active participation in conferences and media discussions highlight his interdisciplinary impact.

Farshad MoradiView profile

Professor

• Neuromorphic Computing
• Spintronics
• Biomedical Engineering
• +5 more

Farshad Moradi is a Professor at the Department of Electrical and Computer Engineering at Aarhus University, specializing in neuromorphic engineering, spintronics, and biomedical device design. His work focuses on integrating advanced materials and circuits for applications in neural interfaces, energy-efficient computing, and wireless biomedical systems. Research Interests include: Spintronic-based neuromorphic computing architectures Ultra-low power analog/mixed-signal integrated circuits Ultrasonically powered implantable medical devices Neural signal processing and seizure detection systems Wireless energy transfer and structural health monitoring Key Projects (2016-2026): SPICE: Spintronic-Photonic Integrated Circuit Platform PHOTON-NeuroCom: Photonic-assisted Neuromorphic Computing Neuro-Sense: Flexible bioinspired neuroprostheses CorroSense: Self-powered corrosion monitoring HERMES: Hybrid Enhanced Regenerative Medicine Systems Recent innovations include: Ultrasonically powered optogenetic implants Low-power neural amplifiers for deep-brain interfaces Spin-torque nano-oscillator-based neuromorphic hardware Energy harvesting systems for structural monitoring

Renaud LambiotteView profile

Professor

• Network Science
• Complex Systems
• Temporal Networks
• +7 more

Renaud Lambiotte is Professor of Networks and Nonlinear Systems at the Mathematical Institute, University of Oxford. He holds a PhD in Physics from Université libre de Bruxelles and has held research and faculty positions at ENS Lyon, Université de Liège, UCLouvain, Imperial College London, and the University of Namur. He is currently an active academic in applied mathematics and network science. His research focuses on complex systems, particularly dynamics on networks, temporal networks, and stochastic processes. He applies these to social and brain networks, data mining, and urban systems. His work bridges theoretical modeling and real-world data, emphasizing the structure and evolution of complex systems. His recent publications demonstrate strong trends in network theory, including hypergraphs, community detection, multidimensional dynamics, and data quality in network interventions. He also explores applications in urban air quality and gentrification, showing a commitment to socially relevant complex systems research. Scientific Awards: Prix Wernaers 2013 Prix Wernaers 2016 Prix Wernaers 2020 Verdickt-Rijdams 2016 de l'Académie royale de langue et de littérature françaises He is the co-founder of L’Arbre de Diane, a publishing initiative at the science-literature interface, which received multiple awards. He teaches advanced courses such as Differential Equations II and Networks. He is affiliated with the Machine Learning and Data Science and the Oxford Centre for Industrial and Applied Mathematics research groups. He has authored or co-edited key texts in the field, including A Guide to Temporal Networks and Modularity and Dynamics on Complex Networks , and has published around 130 peer-reviewed articles. His research is supported by ongoing collaborations and active publication output, indicating sustained academic leadership.

Poul Henning JensenView profile

Professor

• Neurobiology
• Parkinson's Disease
• Synucleinopathies
• +4 more

Poul Henning Jensen is a full Professor at Aarhus University , affiliated with both the Department of Biomedicine (Skou-building) and the Department of Molecular Biology and Genetics (Neurobiology section). Research Interests : Neurobiology of synucleinopathies Molecular mechanisms in Parkinson's disease Protein aggregation and propagation Calcium signaling in neurodegeneration Neuroinflammatory responses Scientific Activities : His work focuses on α-synuclein biology, covering structural analysis, aggregation pathways, and their pathological consequences. Recent studies include novel detection methods for early α-synuclein pathology mechanisms of neurotoxicity sex-specific neuroprotective factors and protein interaction networks in disease models . Scientific Awards : Recipient of at least one significant research prize Collaborations : Works with international teams on clinical trials targeting α-synuclein and coordinates multiple studies on neurodegenerative disease mechanisms.

Henrik Jeldtoft JensenView profile

Professor

• Complexity Science
• Statistical Mechanics
• Mathematical Physics
• +7 more

Henrik Jeldtoft Jensen is a Professor of Mathematical Physics and leads the Centre for Complexity Science at Imperial College London. His work spans multiple disciplines, focusing on the statistical mechanics of complex systems, with applications in physics, biology, neuroscience, and finance. Professor, Mathematical Physics Leader, Centre for Complexity Science Institution: Imperial College London His research interests lie at the intersection of theoretical physics and complex systems. He is best known for developing the Tangled Nature Model of evolving ecosystems, which has been extended into financial modeling through the Tangled Finance approach. His work in brain dynamics involves analyzing fMRI and EEG data using tools from statistical physics. He has made significant contributions to self-organized criticality and stochastic dynamics of complex systems, particularly in condensed matter and evolutionary contexts. The recent publications reflect a strong trend toward interdisciplinary complexity science, integrating concepts from physics, biology, economics, and neuroscience. Keywords across these works include complexity, statistical mechanics, dynamical systems, and network theory, with subfields ranging from neural avalanches to financial instability and biodiversity modeling. Henrik Jensen is the author of two influential books: Self-Organized Criticality and Stochastic Dynamics of Complex Systems (with Paolo Sibani), which have been widely cited across disciplines. He has supervised numerous PhD and postdoctoral researchers through the Centre for Complexity Science, though specific names are not listed. His research has been supported by grants from UK research councils and international collaborations, particularly in interdisciplinary complexity projects. He is affiliated with the Centre for Complexity Science, a multidisciplinary research hub at Imperial College London that brings together physicists, mathematicians, biologists, and social scientists to study complex adaptive systems.

• Medical Anthropology
• Clinical Psychology
• Psychoanalysis
• +12 more

Gabriel Antonio Abarca Brown is a Postdoctoral Research Fellow in Medical Humanities at the Center for Culture and the Mind (CULTMIND) at the University of Copenhagen's Faculty of Humanities, where he works within the Department of English, Germanic and Romance Studies. As a medical anthropologist, clinical psychologist, and psychoanalyst, his research spans multiple disciplinary boundaries while maintaining a focus on Latin American contexts, particularly Chile. His educational background includes a PhD in Anthropology from King's College London's Department of Global Health and Social Medicine (awarded February 1, 2021) and an MA in Adult Clinical Psychology with specialization in Psychoanalysis from the University of Chile. His academic journey reflects his interdisciplinary approach to understanding mental health through both clinical and anthropological lenses. Abarca Brown's research interests focus on the history, politics, and practices of psychiatry and global mental health, particularly examining their impacts on subjectivity and everyday life in Latin America. His work critically engages with decolonial perspectives, intersectionality, and the relationship between neuroscience and society. He investigates how mental health systems interact with migration, race, gender, and cultural contexts, with a special emphasis on Haitian migration to Chile. His scholarship challenges neurocentric approaches while exploring how global mental health initiatives are implemented and transformed in local settings. His recent publications reveal a strong trend toward examining the intersection of neuroscience, migration, and mental health in Latin American contexts, particularly Chile. His work often employs ethnographic methods to explore how global mental health paradigms are translated and transformed in local settings. A significant portion of his research focuses on Haitian migration to Chile, examining how mental health services engage with migrant populations and how migrants navigate mental healthcare systems. His scholarship demonstrates a consistent commitment to decolonizing mental health approaches and amplifying Latin American perspectives within global mental health discourse. Honorable Mention - Revista Crítica de Ciências Sociais Prize from the Centre for Social Studies, University of Coimbra (2022) ANID BecasChile PhD scholarship (2015) Scholarship for Research Visit at the Social Medicine Institute UERJ-Brazil (August 2017) Beyond his academic appointments, Abarca Brown has served as an Advisor to the Pan American Health Organization (PAHO/WHO) and is a co-founder of the Platform for Social Research in Mental Health in Latin America (PLASMA). His external academic positions include Adjunct Researcher at Universidad Diego Portales and Visiting Professor at Universidad San Sebastián. He has lectured and conducted research at multiple institutions including the University of Santiago, University of Chile, King's College London, and the University of Copenhagen, demonstrating his strong regional and international academic networks. Abarca Brown is actively engaged with the Center for Culture and the Mind (CULTMIND) at the University of Copenhagen, where his postdoctoral fellowship is based. His work intersects with broader initiatives examining the relationship between culture, mind, and mental health. Through PLASMA, he contributes to building networks for mental health research across Latin America, fostering collaborative approaches that center regional perspectives and needs.

• Neuroscience
• Positron Emission Tomography
• Diffusion Tensor Imaging
• +5 more

Mojtaba Zarei is a researcher at the Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, with additional affiliations at Odense University Hospital (OUH) and Karolinska Institutet (KI). His primary research unit is the Neurology Research Unit in Odense, focusing on advanced neuroimaging techniques and their applications in neurological and sleep disorders. Dr. Zarei's research spans multiple domains within neuroscience, with particular expertise in Positron Emission Tomography (PET), Diffusion Tensor Imaging (DTI), and cognitive function assessment. His work frequently addresses Alzheimer's Disease, Parkinson's Disease, and insomnia disorders, utilizing both clinical and computational approaches. His fingerprint analysis shows strong activity in neuroscience (100% for PET), diffusion tensor imaging (66%), cognitive function (45%), and Alzheimer's Disease (40%). His recent publications reveal a clear trajectory toward integrating multimodal imaging techniques with machine learning approaches for improved diagnosis and understanding of neurological conditions. The work on OPETIA (Odense-Oxford PET Image Analysis) demonstrates his contribution to developing standardized tools for neuroimaging analysis. His research increasingly bridges computational methods with clinical neuroscience, as evidenced by his work on image stitching algorithms and machine learning applications for insomnia classification. Dr. Zarei actively collaborates with researchers across multiple institutions, with notable external collaborations visible on the international network map. His work has been mentioned by peer review sites, picked up by news outlets, and shared across social media platforms, indicating growing impact in his field. Within his research unit of Neurology in Odense, Dr. Zarei appears to be part of a multidisciplinary team working at the intersection of clinical neurology, advanced imaging, and computational analysis, contributing to both methodological development and clinical applications of neuroimaging techniques.

Peter C. PetersenView profile

Associate Professor

• Systems Neuroscience
• Computational Neuroscience
• Electrophysiology
• +3 more

Peter C. Petersen is an Associate Professor in the Department of Neuroscience within the Faculty of Health and Medical Sciences at the University of Copenhagen. Holding a Civilingeniør (MSc) in Technical Physics from DTU and a PhD in Neuroscience, he specializes in systems-level neural mechanisms using electrophysiological approaches. His educational background includes: Civilingeniør (MSc) in Technical Physics, DTU PhD in Neuroscience Petersen's research focuses on neural dynamics in memory and motor systems, combining in vivo electrophysiology with computational modeling. He investigates hippocampal place cells for spatial working memory and rotational dynamics in spinal cord networks, while developing neurotechnology tools like CellExplorer for single-neuron analysis. His work bridges experimental neuroscience, engineering, and data science to decode circuit-level computations. Recent publications (2020-2024) reveal a dual emphasis on hippocampal memory mechanisms (e.g., temperature effects on sharp wave ripples) and innovative methodology (e.g., 3D-printed microdrives). This trajectory demonstrates consistent advancement from tool development to fundamental discoveries in neural coding, with increasing collaboration intensity as evidenced by multi-institutional authorship. Scientific awards: No specific awards were documented in the source material. While explicit advising details are absent, his leadership in software/hardware development (CellExplorer, microdrive systems) implies active mentorship of technical researchers. Grant information isn't specified, though high-impact publications suggest sustained funding for neurotechnology and systems neuroscience projects. Petersen directs the Petersen Lab (https://petersenlab.org/), which employs chronic electrophysiology in rodent models to study memory and movement. The lab maintains strong ties with the Buzsáki lab (hippocampal research) and continues collaborations initiated during his NYU Langone Health tenure (2016-2022), reflecting an integrated approach to neural circuit analysis across institutions.

Matthias MannView profile

Professor

• Proteomics
• Mass spectrometry
• Clinical proteomics
• +6 more

Professor Matthias Mann is Research Director and Group leader at the Proteomics Program at Novo Nordisk Foundation Center for Protein Research (CPR) at the University of Copenhagen's Faculty of Health and Medical Sciences. He also holds a Director position at the Max-Planck Institute of Biochemistry in Munich. As one of the most highly cited researchers in the world with h-index 216 and over 200,000 citations, Mann is a pioneer of mass spectrometry-based proteomics who has made landmark contributions to the development of electrospray ionization. Professor Mann's research interests focus on proteomics technology development and its application to biological and clinical problems. His Clinical Proteomics group applies mass spectrometry-based proteomics to understand human health and disease, with the goal of improving patient diagnosis, stratification, and prevention of diseases such as metabolic disorders and cancer. The group has established robust, high-throughput proteome profiling pipelines for clinical cohorts and develops AI-guided platforms for analyzing proteomes from low amounts of formalin-fixed, paraffin-embedded samples. A key research area is the interpretation of multi-omics data through the Clinical Knowledge Graph, which harmonizes multi-omics data with meta-data for machine learning applications. Professor Mann's recent publications demonstrate trends across several fields including clinical proteomics, biomarker discovery, mass spectrometry technology development, and multi-omics integration. His work spans applications in cancer research, metabolic diseases, neuroscience, and cardiac biology, with a consistent focus on translating proteomic technologies into clinical applications for personalized medicine. Dr H.P. Heineken Prize for Biochemistry and Biophysics 2024 Louis-Jeantet Foundation Prize for Medicine (2012) Leibniz Prize of the German Research Society (2012) Körber European Science Award (2012) Ernst Schering Prize (2012) Protein Society Anfinsen Award (2005) Novo Nordisk Prize (2004) Professor Mann has mentored numerous researchers, with several former post-docs receiving prestigious ERC Starting Grants. His research has been supported by significant funding from the Novo Nordisk Foundation and other major research organizations. The Mann Group maintains collaborations with clinical researchers across multiple institutions to apply proteomics to patient cohorts and disease studies. The Mann Group operates within the Novo Nordisk Foundation Center for Protein Research at the University of Copenhagen, working closely with other research groups including the Choudhary Group, Olsen Group, and others within the CPR. The group maintains state-of-the-art mass spectrometry facilities and develops computational tools for proteomic data analysis, creating an integrated environment for technological innovation and biological discovery.

• Music Cognition
• Neuroscience
• Brain Imaging
• +7 more

Peter Vuust is a Professor at the Center for Music in the Brain, Department of Clinical Medicine, Aarhus University. With over 397 publications and 22 ongoing or completed research projects, his work bridges neuroscience, music cognition, and clinical applications. His research spans multiple decades with significant publication output from 2000-2025, showing increasing productivity in recent years with 27 publications in 2024 and 19 in 2025. His research interests focus on music cognition and neuroscience, particularly examining how the brain processes musical elements like rhythm, harmony, and beauty. Vuust employs advanced neuroimaging techniques including fMRI, MEG, and EEG to investigate auditory processing, neural entrainment, and the relationship between music training and cognitive abilities. Key areas include mismatch negativity, auditory cortex function, brain networks, and functional connectivity during music perception. His work spans fundamental research on rhythm perception and musical beauty to clinical applications involving cochlear implants and music therapy. Vuust's recent publications (2023-2025) demonstrate a strong focus on the neural correlates of musical experience, with particular attention to rhythm perception, musical beauty, and the relationship between music training and sensory processing. His work often involves interdisciplinary collaborations and combines behavioral measures with neuroimaging to provide comprehensive insights into music cognition. Current research directions include studying rhythmic complexity, neural entrainment, music's therapeutic applications for sleep, and the development of music processing skills in cochlear implant users. Professor Vuust actively engages with the public through numerous presentations and media appearances, including recent talks at Roskilde Oplysningsforbund, Lægeforeningen, Folkekirkens Uddannelses- og Videnscenter, Djursland Jazzfestival, and HerningErMusik in 2024. His research is supported by various funding sources including Helsefonden (Danish Health Foundation), with multiple ongoing projects exploring musical rhythm, neural entrainment, developmental aspects of music processing, and music's therapeutic applications. At the Center for Music in the Brain, Vuust collaborates with researchers including Elvira Brattico, Simone Dalla Bella, Morten Kringelbach, and Bjorn Petersen. His interdisciplinary team spans neuroscience, musicology, and clinical medicine, working together to unravel the complex relationship between music and the brain through both basic and applied research.

• DNA damage
• DNA repair
• Replication Stress
• +1 more

Andres Lopez-Contreras serves as an Adjunct Associate Professor in the Department of Cellular and Molecular Medicine at the University of Copenhagen, affiliated with the Molecular Aging Program and Center for Healthy Aging. His research focuses on DNA damage/repair mechanisms, replication stress, and mouse models for cancer and aging. Primary Projects Funded by "Sapere Aude – DFF Starting Grant" on replication stress in aging KVB Project from Danish Cancer Society targeting BRCA1 ubiquitin ligase activity European Research Council (ERC-2015-StG) grant for chromosomal fragile site research Research Network : Collaborates with institutions in Spain (CNIO), USA (NIH), and Denmark (CPR, CEHA). Participants in his group include PhD students Eliene Albers and David Pladevall Morera. Publication Trends : Recent work examines topoisomerase mutations (2025), fragile site instability (2025), ZGRF1 helicase role in fertility (2025), and PICH helicase in lymphoma progression (2024). Labs/Teams Based at Panum Institute, Copenhagen (Blegdamsvej 3) Collaborates with proteomics (Jesper V. Olsen) and mitochondrial genomics (Lene J. Rasmussen) labs