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Winnie JensenView profile

Professor

• Neural Engineering
• Neuroplasticity
• Biomedical Engineering
• +5 more

Winnie Jensen is a Professor at the Department of Health Science and Technology , Faculty of Medicine , Aalborg University , where she serves as Vice-head of institute for research and Head of the Neural Engineering and Neurophysiology research group since 2010. Her work bridges animal and human research to develop implantable neural rehabilitation technologies. Ph.D. in Biomedical Science and Engineering (2005) from Aalborg University Research Interests : Focuses on neural engineering , neuroplasticity , and implantable neural interfaces for sensory/motor rehabilitation. Key areas include TENS-based neurostimulation , phantom limb pain , brain-computer interfacing , and animal-to-human translational models . Article Trends : Recent work emphasizes functional brain connectivity , ulnar nerve electrophysiology , and pain alleviation via cortical modulation , leveraging porcine models and medical device innovation . Scientific Awards : Vanførefonden Forskningspris (2016) Order of the Dannebrog (2024) 3rd Best Paper Award (2023) Advising & Grants : Supervised 14 Ph.D. students, co-supervised 3, and mentored 9 postdocs. Secured major EU grants (FP7 STREP projects TIME and EPIONE) and Marie Curie fellowships. Labs & Teams : Co-founded the Center for NeuroEngineering Solutions in Stroke Rehabilitation (2014–2020) and collaborates with EU clusters and international companies.

• Neuroscience
• Rehabilitation Medicine
• Medical Technology
• +3 more

Carina Lykke Wested is a Researcher affiliated with the North Denmark Regional Hospital and The Faculty of Medicine . Her work focuses on neurological rehabilitation , particularly in stroke recovery and upper limb function . She can be contacted at calw@rn.dk. Key research areas : Neuroscience, Rehabilitation Medicine, Medical Technology, Stroke Recovery, Neurophysiology, Physiotherapy Her recent research explores brain-computer interfaces for stroke rehabilitation, exoskeleton-assisted therapy , and clinical testing to assess motor evoked potentials. She collaborates on projects involving intensive gait training and neurological assessment post-stroke. Wested’s publications highlight corticospinal excitability modulation, fine motor function improvement, and neurotechnological interventions like the ArmeoSpring exoskeleton. These works span experimental studies, clinical trials, and collaborative rehabilitation programs.

Manja Gersholm GrønbergView profile

Researcher

• Statistical Genetics
• Machine Learning
• Biostatistics
• +5 more

Manja Gersholm Grønberg is a Postdoctoral researcher at the Technical University of Denmark (DTU) in the Department of Applied Mathematics and Computer Science, specifically within the Statistics and Data Analysis group. Her interdisciplinary research bridges statistics, computer science, and biomedical applications, contributing to several UN Sustainable Development Goals related to health and well-being. Her research interests span statistical genetics, machine learning, biostatistics, neuroscience, and data analysis with particular expertise in ordinal data modeling and single-cell RNA sequencing analysis. Dr. Grønberg's work demonstrates strong methodological innovation in crossed random effects models and neighborhood analysis techniques applied to complex biological datasets. Her recent publications (2024-2025) reveal a strong trend toward interdisciplinary applications, with significant contributions in both bioinformatics (scRNAseq data analysis) and neuroscience (brain stimulation techniques for Alzheimer's disease treatment). These works demonstrate her ability to develop sophisticated statistical methods and apply them to cutting-edge biomedical problems. Expertise in Crossed Random Effects modeling Specialization in Imbalanced Data techniques Research in Intranasal Oxytocin applications Advanced Neighborhood Analysis methods Cell Specification computational approaches Dr. Grønberg has served as an internal examiner for Statistical Genetics courses at DTU, demonstrating her expertise and teaching capabilities in this specialized field. Her completed PhD project on 'Computational methods for ordinal mixed models applicable to online user ratings' established her foundation in advanced statistical modeling. Her research team collaborations span multiple disciplines, connecting statistical methodology with biological and medical applications, particularly in the areas of neurodegenerative disease research and single-cell genomics.

• Artificial Intelligence
• Medical Robotics
• Embedded Systems
• +5 more

Jan-Matthias Braun is an Associate Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark, specializing in Applied AI and Data Science. His research bridges artificial intelligence, robotics, and medical device engineering. Current projects focus on explainable AI integration in colon capsule endoscopy Development of real-time FPGA-based systems for colorectal diagnostics Biomechanical modeling for adaptive orthotic devices His work emphasizes cross-disciplinary applications of machine learning in healthcare, particularly for gastrointestinal disease detection and assistive robotics. Publications demonstrate expertise in deep neural networks, hardware acceleration, and smart environment control systems. Teaching responsibilities include: Advanced cybersecurity courses Deep learning applications in epilepsy detection Mentorship in capsule endoscopy image analysis

• Computational Biology
• RNA Biology
• Epigenetics
• +5 more

Robert Krautz is an Assistant Professor in the Department of Biology at the University of Copenhagen, specializing in Computational and RNA Biology. His research is conducted through the SCARB research group (https://www1.bio.ku.dk/english/research/scarb/), focusing on cutting-edge molecular and computational approaches to understand fundamental biological processes. Dr. Krautz's research interests span computational biology, RNA biology, epigenetics, and chromatin biology. His work particularly emphasizes gene regulation mechanisms, stem cell biology, and developmental processes. He applies advanced genomic and computational techniques to investigate how transcription factors control gene expression patterns and how chromatin organization influences cell identity and differentiation. His research bridges molecular biology with computational approaches to unravel complex regulatory networks. Analysis of Dr. Krautz's recent publications (2022-2024) reveals a strong focus on epigenetic regulation, stem cell biology, and developmental processes. His work frequently appears in high-impact journals such as Nature Communications and Nature Genetics, indicating significant contributions to the field. The research demonstrates expertise in chromatin biology, transcriptional regulation, and the application of innovative techniques like NanoDam for genome-wide profiling. His publications show consistent collaboration with leading researchers in epigenetics and developmental biology.

• Neuroscience
• Neuroengineering
• Neural Circuits
• +4 more

Kayeon Kim serves as Assistant Professor in the Department of Neuroscience at the University of Copenhagen's Faculty of Health and Medical Sciences, where she leads the Neuronal Signalling research group. Her work bridges fundamental neuroscience and neuroengineering to investigate brain function and dysfunction. Her research spans neuronal communication at single-cell and circuit levels, neurovascular coupling mechanisms, hippocampal network dynamics during memory processes, and development of precision neuromodulation technologies. Key focus areas include: Micro-coil based neural stimulation for seizure control Spatiotemporal relationships between blood flow and neural activity Neurovascular alterations in aging and disease Hippocampal oscillation patterns in learning and memory consolidation Analysis of her 2023-2025 publications reveals a cohesive research trajectory integrating engineering solutions with neuroscience questions. Her work consistently addresses translational challenges in epilepsy treatment and age-related cognitive decline through innovative methodologies like intracortical microstimulation and MEMS device development. Based at Blegdamsvej 3B in Copenhagen, she maintains active collaborations across neuroscience and engineering disciplines as evidenced by multi-institutional publications and international media coverage of her research.

• Neuroscience
• Neuroimaging
• Pain Medicine
• +3 more

Louise Møller Jørgensen serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences, with research operations closely integrated with the Capital Region of Denmark (Region Hovedstaden) as evidenced by her institutional email domain and collaborative publications. Her research spans Neuroscience, Neuroimaging, and Pain Medicine, focusing on molecular biomarkers for disc degeneration (e.g., cytokines, TRP channels, metalloproteinases), advanced neuroimaging techniques (PET/fMRI), and neurological disorders like Parkinson's disease. She investigates pain mechanisms, surgical outcomes, and cognitive disturbances through translational approaches combining molecular analysis, animal models, and clinical assessments. Analysis of her 2022-2024 publications reveals dominant trends in biomarker discovery for spinal conditions and neurodegenerative diseases, alongside methodological innovations in neuroimaging. Key interdisciplinary themes include PET radioligand development, electrical stimulation systems, and the intersection of molecular biology with clinical pain management. Dr. Jørgensen maintains extensive collaborations across Danish medical institutions, notably with G.M. Knudsen's team, and her work demonstrates significant academic engagement through media coverage (1 news outlet), social media (6 X users), and scholarly platforms (130+ Mendeley readers). While specific grant details and student mentorship aren't documented, her publication volume and co-authorship patterns indicate active leadership in multi-institutional research projects.