Find Academic Supervisors

• Evolutionary Genomics
• Conservation Genomics
• Genomic Erosion
• +5 more

Hernan Eduardo Morales Villegas is an Associate Professor at the Section for Hologenomics within the Globe Institute of the University of Copenhagen, holding dual affiliations with the Faculty of Science and Faculty of Health and Medical Sciences. His research bridges evolutionary biology and conservation science through genomic approaches to biodiversity crises. Dr. Morales specializes in genomic erosion—the loss of genetic diversity during population collapse—and its implications for extinction risk and species recovery. Leading the Evolutionary and Conservation Genomics Group, he integrates paleogenomics, evolutionary modeling, and quantitative analyses to study endangered species, museum specimens, and simulated evolutionary dynamics. His work spans adaptation mechanisms, speciation processes, and conservation genetics, with emphasis on how anthropogenic pressures alter genomic landscapes across taxa. Recent publications (2019-2025) reveal a cohesive research trajectory applying genomic tools to urgent conservation challenges. Studies on the kākāpō, woolly mammoth, and Iberian wolf demonstrate how genetic load, adaptive introgression, and habitat fragmentation influence species resilience. His work increasingly focuses on predictive modeling of genomic erosion dynamics, with methodologies evolving from single-species analyses toward cross-taxon comparative frameworks that inform conservation prioritization. As director of the Evolutionary and Conservation Genomics Group, Morales fosters international collaborations evidenced by multi-institutional publications in high-impact journals. His research attracts significant scientific attention, with studies covered by hundreds of news outlets and cited extensively in policy discussions, highlighting the translational impact of genomic insights for biodiversity conservation in the Anthropocene.

Giulio CiminiView profile

Associate Professor

• Statistical Physics
• Complex Networks
• Economic Networks
• +12 more

Giulio Cimini is Associate Professor of Theoretical Physics in the Department of Physics at the University of Rome Tor Vergata and a Research Associate at the 'Enrico Fermi' Research Center. He is a statistical physicist with a strong interdisciplinary focus on complex networks and their applications in socio-economic systems. His research interests include: Statistical Physics of Complex Networks Reconstruction and Validation of Economic Networks Social Network Interactions and Financial Markets Systemic Risk and Financial Contagion Scientific Success, Fitness, and Complexity Adaptive Social Recommendation Codon Usage Bias and Protein Interaction Networks His recent publications reveal a strong trend in applying statistical physics to real-world networks, particularly in finance and social systems. Key themes include the modeling of systemic risk in supply chains and financial networks, the dynamics of collective action on platforms like Reddit (e.g., the GameStop short squeeze), and the development of network reconstruction methods using maximum entropy and optimal transport frameworks. His work often combines empirical analysis with theoretical modeling. Scientific awards and recognitions include: Associate Editor, Frontiers in Physics – Interdisciplinary Physics Board Member, Network Science Society Member, Council of the Complex Systems Society Steering Committee, CCS/Italy He has advised or collaborated with numerous researchers, particularly in projects related to economic networks and complex systems. His work has been supported by Italian national grants such as PRIN and PNRR. He leads or co-leads research projects including RENet and C2T. His research is conducted within interdisciplinary teams involving physicists, economists, and computer scientists, often in collaboration with institutions like ISC-CNR, IMT Lucca, and the Network Science community.

• Applied Statistics
• Statistical Consultancies
• Functional Data Analysis
• +5 more

Bo Markussen is a Professor at the University of Copenhagen within the Department of Mathematical Sciences . He is also a member of the Data Science Laboratory , where he contributes to statistical methodology and interdisciplinary collaborations. His academic journey began with a Cand.Scient (MSc) and PhD in Statistics from the University of Copenhagen, awarded in 1998 and 2002 respectively. 2012–present: Professor, Department of Mathematical Sciences, University of Copenhagen 2009–2012: Associate Professor, Department of Basic Sciences and Environment, University of Copenhagen 2006–2009: Assistant Professor, Department of Basic Sciences and Environment, University of Copenhagen Bo Markussen's research focuses on applied statistics , particularly in functional data analysis and multiple testing corrections in genetics . His work spans diverse domains including environmental science, agriculture, and public health. Recent research output highlights applications in Arctic climate data analysis, fire risk modeling, plant stress phenotyping, and nutritional biomarker prediction. His recent publications demonstrate a strong trend toward machine learning integration with statistical modeling , addressing challenges in high-dimensional data analysis and environmental risk assessment. Collaborations span institutions in Denmark and internationally, reflecting his engagement in pan-Arctic climate studies and tropical agricultural research. 2018–present: Associate Editor, Scandinavian Journal of Statistics 2017–2019: Chair, Danish Society for Theoretical Statistics 2015–2017: Board Member, Danish Society for Theoretical Statistics As a central figure in the Data Science Laboratory , Markussen leads statistical consultancy initiatives and contributes to methodological advancements. His expertise bridges theoretical statistics with real-world applications, particularly in handling complex datasets across biological and environmental domains.

Fabio PierellaView profile

Associate Professor

• Offshore Wind Energy
• Fluid Dynamics
• Structural Engineering
• +3 more

Fabio Pierella is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Wind and Energy Systems Flows, specializing in Wind Turbine Design Division. His research focuses on offshore wind energy systems, fluid dynamics, and structural engineering. He has contributed to projects like OC6 Phase IV and the DeRisk database, validating numerical models for floating offshore wind structures and extreme wave loads. Key research interests include computational fluid dynamics (CFD), hydrodynamic load modeling, and the design of large-scale floating wind turbines. His work spans numerical simulations, experimental validation, and database development for extreme sea states. Pierella has presented at international conferences on topics like wave-structure interaction and turbine control systems. He received the Best Poster Presentation Award (2024) and contributed to datasets such as the DeRisk Database, which provides critical wave data for offshore wind turbine design. His research emphasizes practical applications, including monopile structural integrity under extreme loads and control strategies for floating platforms. Pierella's activities include conference presentations on ultra-large floating turbines (EMULF2 project) and the impact of wave shape on 15MW turbine loads. His interdisciplinary approach integrates computational models with experimental results to address challenges in offshore renewable energy systems.

• Liver Disease
• Alcohol-Related Liver Disease
• Liver Fibrosis
• +7 more

Camilla Dalby Hansen is a researcher at the Department of Clinical Research, University of Southern Denmark, affiliated with Odense University Hospital (OUH) and the FLASH - Centre for Liver Research in Odense. Her work focuses on liver diseases, particularly metabolic and alcohol-related disorders, with a strong emphasis on biomarker development and fibrosis assessment. University: University of Southern Denmark Faculty: Faculty of Health Sciences Department: Department of Clinical Research Research Centre: FLASH - Centre for Liver Research (Odense) Collaborations: Odense University Hospital (OUH), KI Her research interests center on liver disease, alcohol-related liver disease, liver fibrosis, nonalcoholic fatty liver disease (NAFLD/MASLD), biomarkers, and prospective cohort studies. She investigates metabolic dysfunction-associated steatotic liver disease (MASLD), fibrosis progression, and the accuracy of diagnostic tools such as self-reported alcohol intake versus phosphatidylethanol biomarkers. Her work integrates clinical data, biomarker validation, and risk prediction models for early detection and management of liver disease. Camilla Dalby Hansen's recent publications (2025) in journals like The Lancet Gastroenterology & Hepatology and Journal of Hepatology reflect a research trajectory focused on improving early diagnosis and prognostic tools for liver fibrosis. Her studies often employ prospective cohort designs and involve dual biopsy validation, biomarker performance evaluation, and community-based prevalence assessments. Themes include the development of LiverPRO for primary care, discrepancies in alcohol reporting, and the role of novel biomarkers like soluble TREM2 and PRO-C3 in tracking disease activity. She has not received any publicly listed scientific awards or fellowships in the provided text. Camilla Dalby Hansen has contributed to research projects as a co-author and collaborator, particularly in dietary interventions for type 2 diabetes and liver disease. While no formal students are listed, her role in large-scale studies suggests mentorship and collaborative supervision. She is involved in EU-funded projects like LIVERAIM, indicating participation in major translational research initiatives. Her email is cdhansen@health.sdu.dk. She is part of the FLASH - Centre for Liver Research, a multidisciplinary team focusing on liver disease mechanisms, diagnostics, and treatment. Her work aligns with clinical hepatology, metabolic research, and public health screening, contributing to both academic knowledge and practical clinical tools.

• Physics of Climate
• Climate Dynamics
• Turbulence
• +9 more

Peter D. Ditlevsen is a Professor at the Niels Bohr Institute , University of Copenhagen, specializing in Physics of Ice, Climate and Earth (PICE) . With a background in theoretical physics, he transitioned to climate dynamics and turbulence. Dr. Scient (2004), University of Copenhagen PhD (1991), Technical University of Denmark Research Interests : Focuses on Tipping Points in the Earth System , especially AMOC collapse , using stochastic dynamical systems , alpha-stable processes , and nonlinear climate modeling . His work bridges climate physics , dynamical meteorology , and time series analysis . Recent Publications : 2025 work on ice-core-based Dansgaard–Oeschger event modeling , 2024 studies on AMOC multistability and complex system predictability , and 2023 Nature Communications paper on AMOC collapse early warning (cited 4000+ times in media). Scientific Leadership : Leads CriticalEarth H2020 (2021-24) and contributed to TiPES (2019-23). Holds Carlsberg Fellowship and Ole Rømer Prize . Outreach : Produces weekly climate science podcast with David Trads, delivers 4-6 public lectures/year, and has appeared in 40+ media outlets. Teaches Electrodynamics , Thermodynamics , and Turbulence courses.

Christian KochView profile

Professor

• Construction Industry
• Climate Change
• Engineering
• +7 more

Christian Koch is a Professor and Head of Section at the University of Southern Denmark (SDU) Civil and Architectural Engineering, Department of Technology and Innovation, where he leads research on construction industry dynamics, climate change mitigation, and digital transformation. His work bridges institutional theory with practical challenges in sustainable development and organizational innovation. SDU Climate Cluster EU SAND Project Participant Creative Construction Conference Chair Research interests include circular economy implementation, blockchain in construction logistics, lean construction methodologies, and AI applications for safety analysis. His studies focus on institutional entrepreneurship, interorganizational networks, and policy impacts on construction practices, particularly in Denmark and Sweden. Recent article trends analyze machine learning for accident report analysis, blockchain-enabled resource marketization, and climate-resilient infrastructure. Notable awards include the Taylor and Francis Best Theoretical Paper (2025), SCC Fast Track Award (2024), and CME Best Paper on Societal Challenges (2022). Scientific awards include: Taylor and Francis Best Theoretical Paper (2025) SCC Fast Track November 2024 CME Best Paper Transformative Impact (2022) Best Paper Creative Construction Conference (2025) He actively participates in public discourse through media engagements on construction safety, climate adaptation, and sustainable sand extraction for green transitions.

Fariba KarimiView profile

Professor

• Algorithmic Fairness
• Computational Social Science
• Network Science
• +7 more

Fariba Karimi is a Professor of Social Data Science at Graz University of Technology and leads the Algorithmic Fairness research group at the Complexity Science Hub (CSH) in Vienna. Her work sits at the intersection of computational social science, network science, and AI ethics, with a strong focus on fairness, inequality, and bias in algorithmic systems. She holds a PhD in Physics and Computational Science from Umeå University, Sweden (2015), and was a Postdoctoral Researcher at GESIS – Leibniz Institute for Social Sciences, Germany. Her research combines large-scale data analysis, agent-based modeling, and network science to study how social structures and algorithms interact to shape disparities, particularly for underrepresented groups. Computational Social Science Algorithmic Fairness and Bias Network Science and Homophily Digital Humanism Urban Inequality and Implicit Bias Gender and Age Equity in Academia Her recent publications reveal a consistent focus on understanding and mitigating algorithmic and structural inequities. Themes include the visibility of minorities in networks, the impact of segregation on health and cognition, gender citation gaps in physics, and the development of fair ranking and recommendation systems. She employs interdisciplinary methods to analyze both digital and real-world social systems. Fariba Karimi has received several prestigious recognitions, including: Young Scientist Award from the German Physical Society (2023) ERC Starting Grant (2024) Nomination for the Hedy Lamarr Award (2021) She leads the 'Humanized Algorithms' project at CSH, funded by the ERC, and co-leads an EU Horizon project (MAMMOth) on multi-criteria fairness in AI. She advises PhD researchers such as Lisette Espín-Noboa and collaborates with institutions like the University of Mannheim and the Centre for Social Sciences. Her work contributes to both academic knowledge and practical solutions for fairer AI systems and more equitable societies.

Anders Rønn-NielsenView profile

Associate Professor

• Applied Probability Theory
• Lévy-Based Modelling
• Statistical Methods in Efficiency Analysis
• +3 more

Anders Rønn-Nielsen is an Associate Professor at the Department of Finance and Center Coordinator at the Center for Statistics at Copenhagen Business School (CBS). He holds a M.Sc. in Statistics from University of Copenhagen and a PhD in Statistics and Probability Theory from Aarhus University. His research focuses on applied probability theory, particularly Lévy-based spatial models, and statistical efficiency analysis. His academic credentials include: M.Sc. in Statistics, University of Copenhagen PhD in Statistics and Probability Theory, Aarhus University Research interests span: Lévy processes and spatial stochastic modeling Extreme value theory applications in finance and natural sciences Nonparametric production frontier analysis Efficiency measurement methodologies His publications (18+ articles) emphasize theoretical probability and statistical applications in efficiency analysis. He has served as external examiner at Aarhus University and Copenhagen University for master’s and PhD examinations (2017–2019). His teaching responsibilities include advanced probability theory courses and statistical methods training for economics students.

Mads Røge EldrupView profile

Assistant Professor

• Coastal Engineering
• Fluid Dynamics
• Numerical Modeling
• +4 more

Mads Røge Eldrup is an Assistant Professor at the Department of the Built Environment, Aalborg University, within the Faculty of Engineering and Science. His research focuses on coastal engineering, wave dynamics, and structural resilience of marine infrastructure. He leads the Ocean and Coastal Engineering Research Group and contributes to the BLUE – Marine & Maritime Research initiative. Research interests include breakwater stability, nonlinear wave modeling, physical model testing, and numerical simulation techniques. Key projects involve the RESCUER initiative (2024-2028) addressing resilient coastal solutions. He has authored/co-authored 46 publications since 2014, with recent work on NL-SORS wave decomposition, submerged bar dynamics, and rock armour stability. He actively participates in international conferences and workshops, including sessions on Smoothed Particle Hydrodynamics and nonlinear wavemaker theory. Collaborations span institutions globally, focusing on coastal resilience and hydraulic engineering challenges.

Klaus MosthafView profile

Associate Professor

• Contaminant Transport in Porous Media
• Groundwater Contamination
• Numerical Modeling
• +10 more

Klaus Mosthaf is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), where he conducts research on contaminant transport and numerical modeling in porous and fractured media. His work focuses on protecting groundwater resources through advanced modeling of contamination from substances like PFAS, chlorinated solvents, and pesticides. He is actively involved in teaching and academic leadership, coordinating the Nordic Masters program Enviro5Tech and the Sino-Danish Center module on Pollutants and Pollution Control. Research Interests: Transport processes in porous media Groundwater contamination and remediation Numerical modeling of reactive transport Aquifer Thermal Energy Storage (ATES) Fractured and variably saturated geologies Coupled porous-medium and free-flow systems His recent publications reveal a strong focus on PFAS fate, bioremediation in ATES systems, and tracer-based characterization of glacial tills. He employs tools like COMSOL Multiphysics, Python, and FEFlow to develop predictive models grounded in laboratory and field data. Scientific Contributions: Active contributor to over 60 publications in hydrogeology and environmental engineering Key developer of models for coupled processes in subsurface systems Organizer and speaker at international conferences on multiphase flow and contaminant transport Advising and Grants: Klaus Mosthaf supervises multiple PhD students and has coordinated significant research projects, including those on PFAS transport and bioremediation. He is the main supervisor of two active PhD projects and has previously co-supervised two others. His leadership extends to board membership in the Danish Academy of Technical Sciences on Soil and Groundwater (ATV Jord og Grundvand), where he fosters collaboration among academia, consultants, and public authorities. Laboratories and Research Groups: His work is conducted within DTU Sustain, a leading research environment in environmental engineering, where he collaborates with experts in hydrogeology, bioremediation, and sustainable technologies. He is deeply integrated into a network of national and international collaborators focused on groundwater protection and sustainable subsurface utilization.

• Neuromyelitis Optica
• Multiple Sclerosis
• Neuroimmunology
• +5 more

Nasrin Asgari is a Clinical Professor at the Faculty of Health Sciences, University of Southern Denmark , and Head of Research at the Neurology Department (Slagelse) within the Department of Regional Health Research, IRS - Næstved, Slagelse, Ringsted Hospitals (NSR). Her work bridges clinical neurology with advanced immunological research, focusing on neuromyelitis optica (NMO) and multiple sclerosis (MS) pathogenesis. Research Interests: Epidemiology and immunology of Aquaporin-4 antibody disorders Myelin Oligodendrocyte Glycoprotein (MOG) antibody-associated diseases Comorbidity analysis in CNS inflammatory conditions Experimental treatments in MS-mouse models Scientific Contributions include groundbreaking studies on NMOSD/MOGAD comorbidities, vascular risk factors in MS therapies, and qualitative investigations into chronic illness well-being. Her recent articles highlight collaborations with international consortia like the Guthy Jackson Charitable Foundation and DMSG study group. Projects encompass the IMAGINE initiative on immune aging in neurological diseases and the Optical Coherence Tomography evaluation of MS progression. She also serves as organizational project manager for movement-based interventions in chronic illness.

• Machine Learning
• Artificial Intelligence
• Quantum Computing
• +5 more

Sophia Natasha Wilson is a Research Fellow in the Department of Computer Science (DIKU) at the University of Copenhagen, specializing in machine learning applications across interdisciplinary domains. She is affiliated with the SCIENCE AI Centre and holds a cross-departmental position at the Niels Bohr Institute . Her research bridges theoretical machine learning with practical implementations in healthcare, quantum computing, and environmental sustainability. University of Copenhagen Department of Computer Science (DIKU) Niels Bohr Institute SCIENCE AI Centre Her research focuses include: Quantum-enhanced machine learning algorithms Explainable AI for healthcare applications Environmental sustainability in computing Emotion-aware language models Quantum computing hardware optimization Public health risk modeling Her recent publications demonstrate cross-disciplinary work in quantum machine learning (hybrid optical processors, qubit stabilization), health informatics (hypothyroidism analysis, nursing values evaluation), and ethical AI (sustainable AI, fairness in recommender systems). Technical work also appears in non-Euclidean generative models and real-time adaptive systems . Current projects include quantum dot array simulation (QDarts platform) and federated learning for personalized medicine . She contributes to the TreeSense center for remote sensing of global tree resources and works on climate-aware AI frameworks.

Søren Rud KristensenView profile

Professor

• Health Economics
• Healthcare Quality Improvement
• Healthcare Incentive Design
• +3 more

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.

Athanasios KoliosView profile

Professor

• Wind Turbine Engineering
• Offshore Wind Turbines Engineering
• Offshore Wind Farms Engineering
• +3 more

Athanasios Kolios serves as Professor and Head of the Structural Integrity and Loads Assessment section within the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His work focuses on advancing wind energy technology through structural analysis, materials science, and system optimization for both onshore and offshore applications. His primary research domains include wind turbine structural integrity, offshore wind farm layout optimization, and structural health monitoring systems. He investigates critical challenges in operation and maintenance strategies, techno-economic metrics for wind projects, and materials behavior under dynamic loading conditions. His fingerprint analysis reveals dominant expertise in Wind Turbine Engineering (100%), Offshore Wind Turbines Engineering (45%), and Offshore Wind Farms Engineering (36%). Recent publications demonstrate strong emphasis on data-driven approaches for wind energy systems, including structural optimization algorithms, virtual sensing techniques, and techno-economic assessments of offshore projects. His work consistently bridges theoretical engineering principles with practical industry applications, particularly in Brazilian and European offshore wind contexts. Scientific Awards: No scientific awards were documented in the provided information Professor Kolios actively supervises five PhD candidates across major research initiatives while mentoring Master's students in structural wind energy applications. His research portfolio includes six significant projects addressing critical industry needs: PhD Supervision: Chopard (anomaly interpretation), Piovesan (risk-based technology qualification), Yildirim (floating turbine uncertainty), Rodrigues Faria (autonomous operation), Al-Hagri (offshore structure maintenance) Master's Supervision: Rushil S. Mahajan (monopile buckling analysis) Current Projects: Decision support systems, life cycle cost modeling, floating wind turbine modeling, autonomous operation frameworks, sustainable offshore structure design As section head at DTU Wind and Energy Systems, he leads an internationally collaborative research group focused on structural integrity assessment, load prediction methodologies, and materials innovation for next-generation wind turbines. The team maintains strong industry partnerships and contributes to global wind energy standards development through participation in initiatives like ISSC.