Ala Trusina is an Associate Professor at the Niels Bohr Institute , University of Copenhagen , specializing in Biocomplexity and Biophysics . Her research integrates coarse-grained modeling to study complex biological systems. Key Research Areas Stress Response Systems (diabetes, aging, cancer, inflammation) Stem Cell Differentiation (cell fate coordination, reversibility of states) Complex Systems (species coexistence, epidemics, CRISPR-phage interactions) Methodologies Theoretical: Agent-based modeling, in-silico simulations Experimental: Quantitative single-cell imaging, RNA/protein profiling Collaborations Joshua Brickman (ES cells), Anne Grapin-Botton (pancreas), Feroz Papa (diabetes), Else Kai Hoffman (p53 dynamics) Thomas Mandrup-Poulsen (inflammation), Savas Tay (spatio-temporal regulation) Teaching Physics of Molecular Diseases Numerical Methods in Physics
Søren Rud Kristensen is a Professor at the Department of Public Health, University of Southern Denmark and holds an Honorary Senior Lecturer position at Imperial College London. His research focuses on healthcare organization and performance, particularly incentive design for quality improvement, with expertise in microeconometric analysis of large administrative datasets. He has held roles including Senior Lecturer (2017-2021) at Imperial College London. Key research areas include payment for performance systems, integrated care models, and clinical guideline implementation. He has published extensively on healthcare quality, patient safety, and health policy with 71+ peer-reviewed articles. His work addresses challenges like hospital competition effects, spillover mechanisms of financial incentives, and the impact of adverse events on patient outcomes. He has received multiple research grants including support for Manchester research stays and funding from Sygekassernes Helsefond. Teaching responsibilities include modules on integrated health care, quality management, and data-driven quality development. His current projects focus on regulating knowledge use in healthcare (PINCH project) and evaluating resource constraints in primary care. Labs/teams involvement includes collaborations through the Danish Centre for Health Economics (DaCHE) and international networks analyzing health systems in England, Brazil, Mozambique, and Zimbabwe. His work bridges economic theory with practical healthcare system improvements.
Chenjuan Guo is an Associate Professor at the Department of Computer Science, Aalborg University, within The Technical Faculty of IT and Design. She is affiliated with the Data Engineering, Science and Systems group and the AI for the People initiative, and is part of the Daisy - Center for Data-intensive Systems. Her research focuses on machine learning, data engineering, spatio-temporal data analysis, and time series forecasting. Key projects include the Villum Foundation-funded 'Explainable AI for Complex Microbial Community Interactions and Predictions' (2021-2024) and the Astra project on time series analytics in spatial networks (2018-2021). Her research interests span representation learning, autoencoders, path representation, outlier detection, trajectory data analysis, and time series modeling. She has supervised 3 PhD students and contributed to over 60 publications, with a recent emphasis on transformer-based forecasting, neural architecture search, and continuous learning frameworks for spatio-temporal data. Her work bridges theoretical advancements with practical applications in environmental science, cloud computing, and urban mobility systems. Key achievements include developing frameworks like AutoCTS++ for automated time series forecasting and LightGTS for lightweight models. She actively collaborates internationally, contributing to conferences like ECML PKDD and CVPR. Her research is supported by grants from the Villum Foundation and other institutions.
Rasmus Waagepetersen is a Professor in the Department of Mathematical Sciences at Aalborg University, affiliated with The Faculty of Engineering and Science. His research focuses on spatial statistics, quantitative genetics, and statistical methodology for spatial point processes. He leads and participates in interdisciplinary projects such as urbanLab (spatial data analysis for urban planning) and studies on microbiome interactions in agricultural systems. Key research areas include spatial point processes, Markov chain Monte Carlo methods, and statistical inference for complex ecological and biomedical data. His work frequently involves collaborations with environmental and biological scientists, as seen in projects analyzing root microbiota assemblies in legumes and climate data for building simulations. Waagepetersen has contributed to methodological advancements in spatial statistics, including goodness-of-fit tests, likelihood-based inference for log Gaussian Cox processes, and quasi-likelihood approaches for case-control point pattern data. His research has been supported by grants from institutions like the Villum Foundation. Key Projects: urbanLab, Klimadata til fugtsimuleringer, Nod factor signaling in plant microbiota. Grants: Multiple projects funded by the Villum Foundation and Danish research councils. His recent publications address topics such as space-time point processes, microbiome data analysis, and statistical modeling in education. Waagepetersen maintains an active research group and collaborates internationally on both theoretical and applied statistical problems.
Mark D. Scherz is an Associate Professor at the Natural History Museum of Denmark, University of Copenhagen. His work focuses on evolutionary biology, taxonomy, and herpetofauna of Madagascar, integrating molecular and morphological approaches. ERC Starting Grant (GEMINI) for vertebrate miniaturization genomics Co-PI on DFG Taxon-OMICS grant Develops integrative taxonomic methods using micro-CT and museomics Research Interests : Specializes in the evolutionary dynamics of giant pseudo-island systems like Madagascar, investigating macroevolution, convergent evolution, and speciation. Key projects include: Phylogenetic analysis of microhylid and mantellid frogs Comparative osteology of miniaturized vertebrates Biofluorescence mechanisms in geckos and chameleons Biogeographic patterns in Malagasy reptiles/amphibians Publication Trends : Recent work emphasizes cross-disciplinary approaches (2025: skull morphology in snakes; 2024: amphibian genomics) 2021 studies on fluorescence and miniaturization Long-term taxonomic revisions of amphibians (2019-2024) Scientific Awards : ERC Starting Grant (2025) DFG Priority Programme participant (Taxon-OMICS) Collaborations : Works closely with Miguel Vences (Technical University of Braunschweig) and Frank Glaw (Bavarian State Collection of Zoology), focusing on Malagasy amphibians and reptiles.
Rasmus Nielsen is a Professor at the University of Copenhagen, specifically affiliated with the Globe Institute and the Section for Geogenetics. His research spans evolutionary genetics, population genetics, and computational genomics with a focus on both human and non-human species. He maintains an active research profile with numerous high-impact publications in leading scientific journals. Professor Nielsen's research interests center around evolutionary and population genetics, with particular expertise in ancient DNA analysis, statistical methods for genomic data, and phylogenetics. His work bridges computational biology with empirical data from diverse species, including humans, plants, and other organisms. He has made significant contributions to understanding human evolutionary history, population structure, and the genetic basis of adaptation. His research also extends to medical genomics, particularly in understanding the genetic architecture of complex traits and diseases. His recent publications demonstrate a strong focus on methodological development in genomic analysis, with papers appearing in top-tier journals like Nature , Science , and Nature Reviews Genetics . His work shows consistent engagement with both theoretical and applied aspects of genetics, spanning human evolutionary history, medical genomics, and plant evolutionary biology. The research output reveals a collaborative approach, with frequent co-authorship across multiple institutions and disciplines. As a Professor at the University of Copenhagen's Globe Institute, Nielsen leads research within the Section for Geogenetics, which focuses on evolutionary and population genetics using cutting-edge genomic approaches. The section maintains strong connections with both computational and empirical research groups, facilitating interdisciplinary work that spans from methodological development to application in diverse biological contexts.
Francois Lauze is an Associate Professor at the Department of Computer Science , University of Copenhagen, affiliated with the Image Analysis, Computational Modelling and Geometry research group. His work bridges mathematical rigor and practical applications in image processing and shape analysis. Research Focus: Mathematical Image Analysis (variational/PDE methods) Differential and Riemannian geometry for shape statistics Applications: image inpainting, motion estimation, segmentation, medical imaging Contact: Email: francois@di.ku.dk Phone: +4535335671, +4521553933 Location: Universitetsparken 1, 2100 Copenhagen Ø Recent publications highlight advancements in SE(3) group CNNs for diffusion imaging, locally orderless networks for efficient processing, and refractive multi-view stereo techniques. His work integrates geometric modeling with computational implementations, emphasizing medical and video applications.
Fan Zhou is a Researcher at Aalborg University's Department of Thermal Engineering within the Faculty of Engineering and Science, specializing in hydrogen and electro-fuels. His work focuses on high-temperature proton exchange membrane (HT-PEM) fuel cells and solid oxide electrolysis systems, with applications in power-to-X and micro combined heat and power (micro-CHP) solutions. He holds a PhD awarded in February 2016 and maintains an active research profile with 27 documented publications. His research interests center on Fuel Cell Technology , Hydrogen and Electro-fuels , and Thermal Engineering , with specific expertise in performance degradation mechanisms, fault diagnosis using electrochemical impedance spectroscopy (EIS) and machine learning, thermal management, and dynamic operation of energy conversion systems. Current investigations address real-time monitoring challenges in residential microgrids and power-to-X applications, examining how operational parameters like temperature, pressure, and gas composition affect system efficiency and durability. Analysis of his 15 most recent publications (2021-2025) reveals a strong emphasis on data-driven approaches for fault detection in fuel cells, dynamic operation effects on electrolysis cells, and integration of clean energy systems. Key trends include the application of convolutional neural networks for online diagnostics, investigation of AC/DC frequency effects in solid oxide electrolysis, and development of control systems for micro-CHP applications using HT-PEM fuel cells. Dr. Zhou currently participates in two major research projects: Robust And Dynamic Electrolysis for Power-to-X (2024-2027), focusing on advanced electrolysis technologies for power-to-X applications, and FC-COGEN (2023-2025), developing micro combined heat and power systems. Both projects are funded by the Energy Technology Development and Demonstration Program (EUDP) and involve collaboration with industry partners and researchers including Søren H. Jensen and Simon L. Sahlin from AAU's Power Electronics and Drives group.
Ivan Adriyanov Nikolov is an Assistant Professor at the Department of Architecture, Design and Media Technology within Aalborg University's Technical Faculty of IT and Design. He specializes in Computer Graphics, Computer Vision, and Augmented Reality, with a focus on 3D reconstruction techniques like Structure-from-Motion (SfM). His work bridges academic research and industrial applications, particularly in wind turbine blade inspection and educational technology. His educational background includes contributions to computer science education through innovative teaching methods. He has led projects like 'Drone Application for Pioneering Reporting in Wind Turbine Blade Inspection' (2017–2019) and 'Leading Edge Roughness - Wind Turbine Blades' (2015–2019), advancing drone-based inspection and 3D modeling for wind energy sectors. Research interests include synthetic data generation, environmental monitoring datasets (e.g., BrackishMOT, DigiWeather), and improving VR/AR user experiences. He has developed tools for dynamic lighting in pixel art games and multimodal guardian systems in VR. His datasets, such as Sewer Defect Point Clouds and Wind Turbine Blade SfM Reconstructions, are publicly available for academic use. He actively contributes to educational innovation, such as flipped classroom strategies to boost programming class engagement. His interdisciplinary approach spans computer graphics, AI-driven NPC interactions, and collaborative mixed-reality games for trust-building. Labs/Teams: Member of the Computer Graphics Group and Visual Analysis and Perception team at Aalborg University. Collaborates with industry partners on drone technology and environmental surveillance systems.
Guangya Yang is an Associate Professor at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), with expertise in power system stability, control, and protection of low-inertia systems, particularly in offshore wind applications. He has worked full-time as an electrical design and simulation specialist at Ørsted (2020-2021) and maintains active roles in IEEE, IEC standardization, and editorial work as lead editor for IEEE Access PES. PhD in Electrical Engineering (University of Queensland, 2008) Senior Member of IEEE Former expert member of European Technology & Innovation Platform for solar PV His research focuses on electromagnetic transient simulation, cyber-physical energy systems, and grid compliance for wind power plants. He leads the Horizon 2020 InnoCyPES project (€12m+ grants), training 15 early-stage researchers in cyber-physical energy systems. Key contributions include validating synchronous condensers for low-inertia systems and developing industry training programs on offshore wind control strategies. Coordinated Hardware-in-the-Loop test bench standards (IEC61400-21-5) Advances in grid-forming converter stability and fault ride-through assessment Developed digital twins for power grid validation Scientific Recognition: World’s Top 2% Scientists (Elsevier/Stanford, 2024) Advising & Grants: Supervises 5 PhD students in projects related to machine learning, digital twins, and predictive maintenance. Coordinates €12m+ in research grants, including Horizon 2020’s InnoCyPES. Labs & Collaborations: Works with Ørsted, industry partners, and international universities on offshore wind validation and digitalization.
Katja Ørsnes Jansen serves as a Research Fellow at the Department of Nordic Studies and Linguistics within the Faculty of Humanities at the University of Copenhagen. Her institutional contact includes phone number +4535325633 and email kaoj@hum.ku.dk, with her office located at Emil Holms Kanal 2, 2300 København S. Her research spans core linguistic disciplines with Nordic specialization, including Scandinavian Philology and Language History. As a PhD fellow, she investigates sociolinguistic patterns and dialectological variations across Nordic regions, contributing to the department's focus on historical and contemporary language evolution in Scandinavian contexts. This work integrates philological methods with modern sociolinguistic frameworks to analyze cultural-linguistic intersections.
Henrik C. Pedersen is an Associate Professor at Aalborg University's Department of Energy within the Faculty of Engineering and Science, specializing in mechatronics and fluid power systems. He holds a dual role as Head of the Mechatronic Systems section since 2021. His expertise spans hydraulic system design, digital hydraulics, and renewable energy applications like wind and wave power systems. He has been awarded multiple Best Paper Awards (e.g., SICFP'23, FFPS 2014) and teaching honors including Teacher of the Year 2013 and 2010. His research focuses on optimizing mechatronic systems, particularly in reliability, fault detection, and condition monitoring. Notable projects include HyRel (2022–2027), addressing wind turbine pitch system reliability, and DigitalPTO (2019–2020), developing digital hydraulic power take-off systems for offshore applications. He has supervised three PhD students and contributed to over 180 publications. His work aligns with UN SDG 7 (Affordable Clean Energy) through advancements in wind and wave energy systems. Key labs/teams include the Mechatronic Systems section and collaborations with Vattenfall and EUDP-funded initiatives.
Mikkel Wallentin is a Professor at the School of Communication and Culture, Aarhus University, specializing in Cognitive Science. He investigates the intricate relationships between language, brain, and cognition through interdisciplinary research combining neuroscience, linguistics, and psychology. His research interests include psycholinguistics, neurolinguistics, neuropragmatics, spatial memory, language comprehension, and inner speech . He employs methods such as fMRI, behavioral experiments, and corpus analysis to explore how cognitive processes are embodied in linguistic behavior. His work also touches on gender differences in language development, depression detection via lexical choice, and aging in spatial communication. Wallentin's recent publications reveal a strong focus on emotional inner speech, its physiological effects, and its role in self-regulation , alongside studies on early language acquisition and linguistic pragmatics. His work bridges theoretical linguistics with cognitive neuroscience, often involving cross-linguistic and clinical populations. Principal Investigator, SCALA: Spatial Communication and Ageing across Languages (2024–2028) Participant, Cognition, Language and Music (2009–2013) Participant, Mass Experiment 2016 He has been actively involved in public dissemination, delivering lectures such as 'Language: A Window into the Mind' and contributing to media on topics like julefilm psychology and developmental language disorders. With over 127 research outputs, he maintains a robust scholarly presence in cognitive science.
Troels Kristensen is an Associate Professor in the Department of Public Health at the University of Southern Denmark, affiliated with the Danish Centre for Health Economics (DaCHE). His work bridges health economics, health policy, and primary care research within the Faculty of Health Sciences. PhD and MSc in Health Economics, University of Southern Denmark Visiting researcher, University of York (CHE) PhD training, Swiss School of Public Health (SSPH) Troels Kristensen's research centers on understanding variation in healthcare delivery, particularly distinguishing warranted from unwarranted variation in service use. His interests include the organization of healthcare, incentive structures in general practice, GP behavior, risk adjustment models, and integrated care models such as diabetes management. He investigates case-mix adjustment and mixed remuneration systems for resource allocation. Additionally, he explores leadership and personality traits in healthcare, with a focus on empathy in patient-professional relationships. His recent publications highlight a strong focus on continuity of care in general practice, the cost implications of fractures in type 1 diabetes, statistical modeling of healthcare transitions, and point-of-care testing in diabetes. His work often employs cohort studies, survey data, and advanced statistical methods, primarily within the Danish healthcare context. Troels Kristensen actively contributes to public discourse, with media appearances discussing healthcare efficiency and policy implications. He has served on external review committees, including at the Karolinska Institute, and regularly presents at academic and policy events. He is involved in teaching Health Economics and Health Technology Assessment, indicating a commitment to education and training in health policy and economic evaluation. His research network includes collaborations across Denmark and internationally, with a strong emphasis on general practice, public health, and health economics.
Jose Maria Ezquiaga is an Associate Professor at the Theoretical high energy, astroparticle and gravitational physics section of the Niels Bohr Institute (NBI), University of Copenhagen's Faculty of Science. He joined NBI as an Assistant Professor in 2022 and was subsequently promoted to Associate Professor. Prior to his position at Copenhagen, he held a prestigious NASA Einstein Fellowship at the University of Chicago. His work focuses on exploiting gravitational wave data to explore fundamental physics questions at the intersection of cosmology and astrophysics. PhD from Universidad Autonoma de Madrid (2019) NASA Einstein Fellow at University of Chicago Associate Professor at Niels Bohr Institute (2022-present) Dr. Ezquiaga's research centers on probing gravity and unveiling the nature of dark energy and dark matter through gravitational wave observations. His work spans gravitational lensing of gravitational waves, black hole formation mechanisms, primordial black holes as potential dark matter candidates, and cosmological applications of gravitational wave data. He actively investigates how gravitational wave observations can test general relativity and alternative theories of gravity in extreme regimes. His recent publications (2023-2025) demonstrate a strong focus on gravitational lensing effects in gravitational wave astronomy, with particular attention to waveform distortions, identification techniques, and cosmological applications. His work on spectral sirens and cosmology from gravitational wave data represents an innovative approach to measuring cosmic expansion without traditional astrophysical assumptions. NASA Einstein Fellow Member of LIGO Scientific Collaboration Member of LISA Consortium Member of Cosmic Explorer Collaboration As a member of multiple major international collaborations including LIGO, LISA, and Cosmic Explorer, Dr. Ezquiaga contributes to both theoretical development and observational analysis in gravitational wave astronomy. His research group focuses on developing novel techniques for extracting cosmological information from gravitational wave signals and testing fundamental physics through multi-messenger observations. He has been involved in numerous significant discoveries related to gravitational wave lensing and its implications for cosmology and fundamental physics.
