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Trine Krogh Boomsma is a Professor in the Department of Insurance and Economics at the University of Copenhagen's Department of Mathematical Sciences. Her research focuses on optimization under uncertainty with significant applications in energy systems, particularly electricity markets, renewable energy investments, and power system planning. PhD in Mathematics-Economics, Aarhus University (2003-2007) Visiting PhD at University of Duisburg-Essen (2004) Academic career includes positions at Risø National Laboratory for Renewable Energy and Imperial College London Her work spans stochastic programming, real options analysis, and dynamic programming to address energy sector challenges. Key areas include support schemes for renewables, market risk modeling, and operational optimization of hybrid conventional-renewable systems. Recent research explores policy impacts on investment decisions and advanced scenario generation techniques. Major publications (2012-2020) cover renewable energy policy frameworks, power plant valuation models, and sequential market bidding strategies. These works emphasize electricity market dynamics, investment risk quantification, and robust planning under uncertainty. She teaches linear programming, integer programming, and stochastic programming applications in operational analysis, contributing to energy economics education at the department.

• Stochastic programming
• Two-phase and multi-phase models
• Scenario generation and reduction
• +9 more

Jens Honore Walther is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on fluid mechanics, coastal and maritime engineering, and computational fluid dynamics (CFD). He leads projects on wave energy converters, multiphase flow systems, and thermal energy applications. His work contributes to sustainable development goals related to clean energy and climate action. External Roles: Research associate at ETH Zurich (2003–present) Postdoctoral fellow at ETH Zurich (2000–2003) Project manager at Danish Maritime Institute (1996–1997) Research scientist at Danish Meteorological Institute (1994–1996) Research Interests: Walther’s expertise spans CFD modeling, granular flow dynamics, and nanofluidics. His recent projects include optimizing wave energy converters, analyzing gap resonances in marine structures, and developing multiphase ejector geometries for heat pumps. His work integrates high-performance computing and experimental validation to address challenges in marine engineering and energy systems. Advising & Projects: He supervises PhD students in areas such as elite sport aerodynamics, gas lubrication, and alternative fuel combustion. Notable projects include: Elite sport aerodynamics (2024–2026) Alternative fuel injection in marine engines (2023–2026) Multi-physical gas bearing modeling (2024–2027) Labs & Collaborations: Walther collaborates with institutions like ETH Zurich and engages in experimental facilities at DTU. His group focuses on advanced CFD simulations and fluid-structure interaction studies.

• Fluid Mechanics
• Coastal and Maritime Engineering
• Computational Fluid Dynamics
• +9 more

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.

• Magnetic Resonance Imaging (MRI)
• Diffusion MRI
• Image and Signal Denoising
• +10 more

Pourya Forooghi serves as Associate Professor in the Department of Mechanical and Production Engineering at Aarhus University's School of Engineering, Denmark. His active research profile is anchored in the university's heat and fluid flow group, with direct contact available via telephone (+45 93 52 23 03) and email (forooghi@mpe.au.dk). Current activities include conference contributions such as the 2024 ERCOFTAC Symposium lecture on electrolyzer modeling. Research Interests His work spans fundamental and applied fluid dynamics with emphasis on: Turbulent flow over complex rough surfaces (anisotropic, patchy, irregular) Thermohydraulic roughness characterization Data-driven modeling for drag and heat transfer prediction Power-to-X (PtX) energy systems Secondary flows in boundary layers Cryogenic heat transfer (frost formation, evaporators) Publication Trends Analysis of his 2023-2025 publications reveals a dominant focus on roughness effects in turbulent flows using DNS and data-driven methods. Key patterns include hydrodynamic/thermal property characterization of realistic rough surfaces, drag reduction via spanwise forcing, and laminarization techniques in pipe flows. Applications concentrate on energy systems like CO2 heat pumps, PtX electrolyzers, and refrigeration evaporators. Scientific Awards No scientific awards, fellowships, or medals were documented in the provided materials. Advising and Grants The source text contains no explicit information regarding graduate students, postdoctoral advisees, or grant funding activities. His research group involvement suggests likely supervision responsibilities absent specific listings. Laboratories and Teams Forooghi leads computational research within Aarhus University's heat and fluid flow group, utilizing DNS/LES techniques and data-driven frameworks. His work integrates high-fidelity simulations with engineering applications, particularly in energy conversion systems requiring advanced roughness modeling.

• Fluid Mechanics
• Heat Transfer
• Power-to-X
• +3 more

Anja Groth, 43 years old, is a full professor at the Biotech Research and Innovation Centre (BRIC) under the University of Copenhagen's Faculty of Health Sciences. Her research centers on molecular cell biology, epigenetics, DNA repair, and genome stability, with significant contributions to understanding how cells maintain functional memory during division—a critical process for both human development and cancer progression. Education: MSc in Biochemistry, University of Copenhagen PhD in Cancer Biology, University of Copenhagen (2004) Postdoc at Institut Curie, Paris (3 years) Her groundbreaking work on DNA repair mechanisms revealed a protein critical for cancer cell survival through error-free DNA repair. This discovery is paving the way for novel cancer therapies that block this protein. Using advanced molecular biology and interdisciplinary collaboration, she has published in top journals like Nature and secured two major ERC grants. Key Research Themes: Epigenetic memory and chromatin replication DNA damage repair pathways Histone dynamics and inheritance Replication fork stability Protein networks in genome maintenance Articles show a consistent focus on histone chaperones, ubiquitination pathways, and chromatin assembly factors. Her 2016 discovery of H4K20me0 marks and the TONSL–MMS22L complex has had lasting impacts on DNA repair research. Awards & Grants: EliteForsk Award (2018) EMBO Investigator Heirloom Award for Women Scientist Leaders ERC Starting Grant ERC Consolidator Grant As leader of a diverse research group of 15 international scientists (primarily women), Groth emphasizes collaborative innovation and trust-building in scientific environments. She advocates for sustainable lab practices and flexible research strategies that allow unexpected discoveries.

• Molecular Cell Biology
• Epigenetics
• DNA Repair
• +3 more

Hao Li is a MSCA Postdoc Fellow and Visiting Scholar at LIP6 , affiliated with the University of Southern Denmark in the Department of Mechanical Engineering . His research focuses on advanced computational methods for topology optimization in thermal, fluid, and structural engineering systems. Education: Not explicitly stated in the provided text. Current Projects: Leading EU-funded research on heat exchanger design using multiscale models and machine learning. Dr. Li's work spans multiscale topology optimization, level-set methods, and fluid-structure interaction, with applications in microchannel cooling, compliant mechanisms, and biodegradable composites. His recent publications highlight advancements in 3D conjugate heat transfer, adaptive meshing, and eigenfrequency maximization. The trends in his research output (2017–2025) emphasize thermal-fluid systems , high-resolution structural optimization , and manufacturable composite designs . Notable subfields include triply periodic minimal surfaces for cooling channels, nonlinear buckling analysis, and phasor-based dehomogenization techniques. Teaching & Supervision: Currently supervising projects on topology optimization frameworks for heat sinks and high heat flux cooling. His past projects (2018–2023) include research on piezoelectric transducers and thermal-fluid system design. Labs & Collaborations: Collaborates with institutions in Japan and France, focusing on experimental validation and industrial applications. His network includes partnerships with researchers in structural mechanics, computational fluid dynamics, and additive manufacturing.

• Topology Optimization
• Mechanical Engineering
• Thermal Systems
• +2 more

Kristian Thijssen serves as an Assistant Professor in the Biocomplexity and Biophysics section at the Niels Bohr Institute (NBI), University of Copenhagen, where he conducts research at the Niels Bohr International Academy (NBIA). His work bridges computational physics and biological systems, focusing on emergent phenomena in active matter. His educational background includes: MSc in Physics from Eindhoven University of Technology PhD in Physics from the University of Oxford under Julia Yeomans Thijssen's research explores dynamics of collective phenomena in soft biological systems. His computational work examines how bacterial colonies and cellular tissues interact with reconfigurable environments, revealing fundamental principles of non-equilibrium statistical mechanics . Key methodologies involve multi-scale modeling of active nematics, gel mechanics, and topological defect dynamics, with applications spanning tissue engineering to cancer metastasis. His publication trends (2022-2025) reveal a sharp focus on active matter physics , particularly in three interconnected domains: (1) mechanical interactions in biological gels ( Physical Review Letters , 2023-2024), (2) topological phenomena in cellular systems ( Nature Physics , 2024), and (3) hydrodynamic modeling of active fluids ( Physical Review Letters , 2024-2025). This trajectory demonstrates increasing experimental-theoretical integration, with recent work bridging soft matter physics and biomedical applications. Key recognition includes: Marie-Curie fellowship supporting his transition to NBI Thijssen leads computational research within the NBIA's Biophysics group, securing competitive funding including the Marie-Curie grant. His collaborations span Cambridge, Oxford, and international consortia focused on active matter. Current projects investigate tumor cell migration mechanics and bacterial colony morphogenesis, with emphasis on translating theoretical models to biological contexts. He operates within the Niels Bohr International Academy's collaborative framework, contributing to the NBI's Biocomplexity and Biophysics research cluster. His lab utilizes high-performance computing resources for multi-scale simulations of active systems, with strong ties to experimental groups studying cellular dynamics and soft materials.

• Soft Matter Physics
• Active Matter
• Biophysics
• +3 more