Find Academic Supervisors

Marie-Pier Bergeron BoucherView profile

Associate Professor

• Demography
• Mortality Forecasting
• Health Inequalities in Ageing
• +4 more

Marie-Pier Bergeron Boucher is an Associate Professor at the Interdisciplinary Centre on Population Dynamics (CPop) within the Faculty of Business and Social Sciences at the University of Southern Denmark. Her research focuses on mortality forecasting, lifespan differentials, and the development of demographic methods to analyze health and mortality trends in industrialized societies. Key themes include mortality decomposition, cause-of-death analysis, and healthy life expectancy projections. Her work spans international comparisons of longevity, socioeconomic disparities in survival rates, and the application of advanced statistical techniques like compositional data analysis. Notable projects include the ERC-funded 'Unequal Lifespans' initiative and the AXA Chair in Longevity Research. She collaborates widely with institutions globally and contributes to policy-relevant topics such as pension age indexation and retirement age survival forecasts. Dr. Bergeron Boucher holds a Ph.D. in Demography and has taught courses on R programming for demographic analysis, introducing students to modern computational tools in population studies. She actively participates in academic conferences and has authored over 40 peer-reviewed publications, reflecting her expertise in formal demography and mortality modeling.

Henrik Lauridsen LolleView profile

Associate Professor

• Welfare State
• Rural Areas
• Urban Areas
• +5 more

Henrik Lauridsen Lolle is an Associate Professor at the Department of Politics and Society, Aalborg University, within The Faculty of Social Sciences and Humanities. His research focuses on welfare state dynamics, rural and urban quality of life, and subjective well-being. He has participated in numerous interdisciplinary projects, including the European Values Study and the Nordic model analysis. Key research interests include rural-urban disparities, social policy, and quantitative methodologies. He has contributed to over 50 publications, with recent work emphasizing rural quality of life in Denmark and methodological advancements in social science research. Lolle is involved in grants such as the Rockwool Foundation-funded European Values Study and Sapere Aude initiatives. He has supervised one PhD student and actively participates in academic peer review and editorial activities. Notable projects include investigating generalizability in survey data (Rockwool Foundation) and micro-perspectives on the Nordic welfare model (Independent Research Fund Denmark). His work often bridges comparative policy analysis with empirical data exploration.

Birte Holst JørgensenView profile

Researcher

• Energy Policy
• Renewable Energy
• Wind Energy
• +4 more

Birte Holst Jørgensen is a Senior Researcher at DTU Wind Energy, specializing in energy policy, technology strategies, and international collaboration. She holds a PhD in Political Sciences (Copenhagen University) and an MSc in Business Economics (Copenhagen Business School). Her roles include chairing the IEA Expert Group on R&D Priority-Setting, leading the Sino-Danish Center’s Sustainable Energy program, and advising Denmark’s national transmission system operator Energinet. She has extensive experience in executive management, including Nordic Energy Research and DTU Management. Education: PhD in Political Sciences, University of Copenhagen (1995–1999) MSc in Business Economics and Administration, Copenhagen Business School (1992) Research Interests: Energy transition pathways, renewable energy integration, global energy governance, wind power systems, technology policy design, and sustainable urban development. She emphasizes data-driven policy advice and international knowledge-sharing mechanisms. Key Contributions: Chaired over 20 international committees, including the IEA’s R&D Priority Group and EU Horizon 2020 Energy Advisory Group Authored influential reports like the Key Energy Technologies for Europe (2005) and DTU’s annual International Energy Reports Advised UN Sustainable Development Goals, particularly targeting SDG 7 (Affordable and Clean Energy) and SDG 11 (Sustainable Cities) Labs/Teams: Principal investigator in DTU Wind Energy’s Wind and Energy Systems Society, leading global projects on energy islands, offshore wind scaling, and policy frameworks.

Lisbeth LundView profile

Researcher

• Tobacco Use Research
• Public Health
• Youth Health Behavior
• +3 more

Lisbeth Lund serves as a Researcher at the National Institute of Public Health within the University of Southern Denmark, specializing in the Health Promotion and Interventions unit. Her work centers on public health research with a focus on tobacco and nicotine product use among Danish youth, utilizing advanced statistical methodologies to analyze behavioral patterns and intervention efficacy. Her primary research interests include tobacco use epidemiology, youth health behavior, mental health correlations, and statistical modeling techniques such as latent transition analysis. Lund employs sophisticated quantitative methods to examine sex-specific trends in poly-tobacco use, transitions in nicotine consumption patterns, and the impact of regulatory frameworks. Her methodological expertise extends to systematic reviews of digital media effects on adolescent sleep and smokeless tobacco determinants. Analysis of Lund's 15 most recent publications (2022-2025) reveals a consistent focus on Danish youth tobacco/nicotine behaviors using latent class and transition analyses. Key trends include gender-differentiated use patterns, co-use with marijuana, longitudinal behavioral transitions, and school-based intervention effectiveness. Her methodological contributions include R-based tutorials for flexible latent transition modeling, while applied work addresses policy impacts of Denmark's tobacco control legislation. No scientific awards were documented in the provided materials. Lund participates in active research projects including "Digitale mediers betydning for søvn hos børn i alderen 0-15 år" (Digital Media's Significance for Sleep in Children Aged 0-15 Years), demonstrating interdisciplinary collaboration across public health domains. While no specific student advising roles are mentioned, her involvement in multi-institutional studies indicates mentorship within research teams. She operates within the Health Promotion and Interventions research unit at the National Institute of Public Health, contributing to Denmark's tobacco surveillance systems through the annual §RØG reports and engaging with public discourse via media appearances on nicotine's neurotoxic effects and screen time impacts on child sleep.

Leon Eyrich JessenView profile

Associate Professor

• Bioinformatics
• Immunology
• Machine Learning
• +6 more

Leon Eyrich Jessen is an Associate Professor and Groupleader at the Department of Health Technology, Technical University of Denmark (DTU). He leads the Computational Autoimmunity research group, focusing on computational immunology with a particular emphasis on understanding disruptions in central tolerance and the mechanisms that allow the immune system to differentiate between self and non-self. His work aims to uncover immuno-cellular processes associated with autoimmune diseases through single-cell technology and machine learning-based bioinformatics tools. Dr. Jessen's research spans several key areas including Bioinformatics, Immunology, Machine Learning/AI, Data Science, and T-cell Biology. His work specifically addresses Computational Autoimmunity, Bayesian Modeling, and Molecular Evolution. He employs single-cell technology to investigate autoimmune disease mechanisms, with applications in psoriatic arthritis, diabetes, and other autoimmune conditions. His group develops computational methods for T cell receptor analysis, epitope prediction, and spatial transcriptomics. His recent publications demonstrate a strong focus on computational immunology, with key contributions in single-cell RNA sequencing, T cell receptor analysis, and spatial transcriptomics. His work bridges computational methods with immunological applications, particularly in autoimmune disease research. The research shows a consistent pattern of developing and applying machine learning algorithms to complex immunological data, with significant contributions to understanding T cell biology and autoimmune mechanisms. Dr. Jessen actively supervises PhD students including Drachmann, C., Montemurro, A., Povlsen, H. R., and Schaap-Johansen, A.-L. on projects related to single-cell analysis, immunoinformatics, and deep learning methods for immunotherapy. He is also the creator and instructor of "R for Bio Data Science," which is the third largest course at his department, demonstrating his commitment to education and training the next generation of bioinformaticians. He leads the Computational Autoimmunity group which focuses on developing, applying, and serving machine learning-based bioinformatics tools. The group works at the intersection of computational methods and immunological research, with particular emphasis on single-cell technologies and their application to autoimmune disease mechanisms.

Dan JiangView profile

Research Fellow

• Project-Based Learning
• Problem-Based Learning
• Engineering Education
• +3 more

Dan Jiang is a Research Fellow in the Department of Sustainability and Planning at Aalborg University's Technical Faculty of IT and Design, Denmark. His work centers on advancing problem- and project-based learning (PBL) frameworks within engineering and sustainability education, with significant contributions to pedagogical development and learner agency research. His primary research focuses on Project-Based Learning, Problem-Based Learning, and Engineering Education, examining how sustainability principles integrate into curricula through student-centered approaches. Recent work investigates learner agency in sustainability contexts using Q methodology, self-regulated learning dynamics, and professional development for early-career academics in PBL environments. His fingerprint analysis confirms strong specialization in educational methodologies applied to engineering and sustainability domains. Publications since 2024 reveal a concentrated trend toward sustainability-infused PBL, with increasing emphasis on methodological rigor through scoping/systematic reviews and empirical studies measuring student agency. Key themes include environmental sustainability in engineering design, pedagogical challenges for first-year students, and institutional adaptation for sustainability education. Scientific recognition includes: Best Scientific Research Poster 2024 (awarded with Gupta, Ali, Fink, and Du) Dr. Jiang supervises PhD candidates including N. E. R. Lyngdorf, whose thesis addresses PBL challenges in engineering education. As Co-Investigator on the ENVIHEI project (2024-2026), he develops student-centered learning frameworks for environmental sustainability across higher education institutions, focusing on educational materials and institutional implementation. He actively participates in the Aalborg Centre for Problem Based Learning in Engineering Science and Sustainability, Institute for Advanced Study in PBL, and Learning Lab Research Group, driving institutional PBL innovation through workshops like the 2024 Academic Leadership for Pedagogical Change event.

Svante EriksenView profile

Associate Professor

• Statistics
• Bayesian Networks
• Graphical Models
• +7 more

Svante Eriksen is an Associate Professor in the Department of Mathematical Sciences at Aalborg University, Faculty of Engineering and Science. His research spans statistics, forensic genetics, and computational modeling, with a focus on Bayesian networks, graphical models, and statistical methods for forensic DNA analysis. He is actively involved in interdisciplinary research and software development for probabilistic genotyping and large-scale inference. Research Interests: Bayesian Networks and Graphical Models Statistical Methods in Forensic Genetics SNP and Y-STR Genotyping Data Mining and Knowledge Discovery Model Selection and Context-Specific Independence Software Development for Statistical Inference Recent Publication Trends (2024–2025): His recent work focuses on improving SNP genotyping accuracy using logistic regression models, developing efficient software (jti and sparta) for Bayesian network inference, and advancing forensic DNA analysis through dynamic SNP selection and probabilistic modeling of Y-STR databases. These contributions reflect a strong integration of statistical theory, computational efficiency, and real-world forensic applications. Scientific Contributions: Principal contributor to software packages for Bayesian network prediction. Developer of statistical models for forensic DNA data interpretation. Collaborator on projects involving digital learning analytics and student retention. Advising and Grants: While specific student names are not listed, the profile indicates involvement in PhD supervision (4 cases). He has participated in multiple externally funded research projects, including those supported by Novo Nordisk and Danish research councils, focusing on forensic DNA analysis, graphical models, and educational data mining. Research Groups and Collaborations: He is part of a strong research network in forensic genetics and statistical modeling at Aalborg University, collaborating with leading researchers such as N. Morling, M. M. Andersen, and T. Tvedebrink. His work is closely tied to the development and application of statistical software in both forensic and educational domains.

Karina NielsenView profile

Researcher

• Earth Observation
• Remote Sensing
• Satellite Altimetry
• +4 more

Karina Nielsen serves as a Senior Researcher in the Department of Space Research and Technology at the Technical University of Denmark (DTU), specializing in Geodesy and Earth Observation. Her work leverages satellite remote sensing to address critical hydrological challenges across global water systems and cryospheric environments, contributing directly to UN Sustainable Development Goals for clean water and climate action. She earned her PhD in Geodesy from DTU (2008-2012) with doctoral research focused on viscoelastic crustal deformation dynamics in Greenland caused by ice mass variations. Her academic foundation integrates geophysical modeling with satellite observation techniques. Her research program centers on advanced satellite altimetry for monitoring inland water bodies and cryosphere dynamics. Key methodologies include Synthetic Aperture Radar processing , waveform retracking algorithms , and multi-sensor data fusion from missions like CryoSat, Sentinel-1, and ICESat-2. She pioneers applications of deep learning for high-resolution surface water mapping and develops validation frameworks using both professional and citizen science observations. Recent publications demonstrate converging trends in satellite hydrology: integration of ICESat-2 elevation data with hydraulic models for floodplains, machine learning approaches for small-scale water body detection, and robust validation protocols for altimeter measurements across diverse lake environments. These advances enhance global water resource monitoring capabilities. Scientific Recognition: No specific awards or fellowships documented in current profile Research Leadership: Dr. Nielsen actively supervises four PhD candidates across DTU's satellite hydrology initiatives. Her current grants include the Data-driven River Modeling project (2025-2028), GNSS-R from UAS development (2024-2027), Autonomous River Monitoring systems (2023-2026), and Arctic River Remote Sensing (2022-2026), totaling five active research programs with international collaborations across 12 countries. Collaborative Infrastructure: She operates within DTU Space's Geodesy and Earth Observation group, utilizing specialized facilities for satellite data processing and validation. Her work connects with global networks including the European Space Agency's hydrology initiatives and international cryosphere monitoring consortia, with research outputs supporting operational water management systems in Thailand and Denmark.

Claus J. VarnesView profile

Associate Professor

• Strategic Management of Innovation
• Entrepreneurship
• Organizational Theory
• +5 more

Claus J. Varnes is an Associate Professor of Marketing and Innovation at Copenhagen Business School's Department of Marketing. He holds a B.Sc. from Aarhus School of Business, an M.Sc., and a Ph.D. from Copenhagen Business School. With nearly ten years of industry and consulting experience prior to entering academia in 2001, he maintains strong industry connections through customized executive seminars and advisory work. His research bridges market/customer dynamics, strategy, and innovation processes, employing sociological and organizational theories to examine management tools. Current investigations include electric vehicle innovation history, decision-criteria in portfolio management, value creation in sharing economies, external ambidexterity in start-up collaborations, and conversational analysis of strategy meetings. Emerging projects explore innovation process integration, Agile methodology bureaucracies, and organizational narratives. Varnes teaches courses including Managing Product Development and Innovation , Customer Relationship Management , and Management Paradoxes . He has supervised over 350 students across EMBA, MSc, and PhD programs, with successful transitions of student work to conference papers and journal publications. He actively contributes to research clusters: studying 'classic' design principles (Design Cluster), customer promises in portfolio management (B2B Group), and algorithmic impact on innovation needs identification (Digital Cluster). Administrative roles include heading HD Sales and Marketing programs and participating in faculty evaluation system reforms.

Rossana MastrandreaView profile

Assistant Professor

• Complex Networks
• Economic Networks
• Health Economics
• +14 more

Rossana Mastrandrea is an Assistant Professor at IMT Institute for Advanced Studies Lucca, affiliated with the AXES research unit. Her work integrates methods from mathematics, economics, and complex systems to study economic, social, and biological networks. Research Interests: Her primary fields include Complex Networks, Health Economics, Environmental Economics, Game Theory, and Behavioural Economics. She applies Graph Theory, Statistical Physics, and Agent-Based Modeling to understand macroeconomic networks, innovation diffusion, and human behavior dynamics. A significant focus is on pharmaceutical innovation, particularly mRNA vaccine development through patent citation analysis, and on modeling pro-environmental behavior using evolutionary game theory and peer effects. Recent Research Trends: Her recent publications (2025–2010) reveal a consistent trajectory in network science applied to economic systems. The work increasingly integrates behavioral and cognitive dimensions into network models, with a growing emphasis on health and environmental policy implications. The use of interdisciplinary methodologies—especially from physics and biology—is a hallmark of her approach. Scientific Projects: Local Coordinator, PRIN Project (2023–2025): "The Role of the Public and Private Sectors in Pharmaceutical Breakthrough Innovations (3PBI)" Former member, INET Project: "Empirical and theoretical analysis of macroeconomics networks" Visiting Fellow, Lorenz Institute of Theoretical Physics, Leiden Advising and Grants: While no formal students are listed, her leadership in the PRIN project indicates mentoring and team coordination responsibilities. She has secured competitive research funding through national (PRIN) and international (INET) programs, supporting interdisciplinary work at the intersection of economics, physics, and biology. Labs and Research Groups: She is actively involved with the AXES research unit at IMT Lucca and previously collaborated with the research group of Prof. Garlaschelli at the Lorenz Institute. Her work is embedded in the broader complexity science community, as evidenced by participation in events like the Econophysics Colloquium and CSH Workshop.

Peter DalgaardView profile

Professor

• Biostatistics
• Statistical Computing
• Medical Research
• +3 more

Peter Dalgaard is a Professor at the Center for Statistics, affiliated with the Department of Finance at Copenhagen Business School (CBS). He holds editorial roles, including co-editor of the Scandinavian Journal of Statistics (2015–2018) and membership in the editorial board of the R Journal. His research focuses on statistical computing, biostatistics, medical data analysis, and R programming. Notable contributions include developing the R package 'pwr' for power analysis and co-authoring textbooks on statistical methods in healthcare and R programming. His publications span medical research, statistical methodology, software development, and econometrics. He has collaborated on studies involving chemotherapy side effects, migraine mechanisms, diabetes complications, and financial modeling. His work emphasizes rigorous statistical techniques and open-source tools for reproducible research. Professional activities include serving on academic assessment committees, such as for an associate professor position at Syddansk Universitet (2018–2019). His contributions to the R ecosystem highlight his role in bridging statistical theory with practical applications.

Moira DalyView profile

Associate Professor

• Labor Economics
• Education Economics
• Applied Econometrics
• +5 more

Moira Daly is an Associate Professor in the Department of Economics at Copenhagen Business School . Her research focuses on labor economics, education economics, and applied econometrics, with particular emphasis on entrepreneurship, organizational leadership, and digital transformation. She explores how educational choices, family background, and gender influence career pathways and organizational technology adoption. Research Interests include: analyzing skill utilization in digital labor markets, leadership dynamics in innovation, gender disparities in entrepreneurship, and the socioeconomic impacts of research-based education. Her empirical work often examines institutional, technological, and personal factors in economic outcomes. Recent Publications reveal trends in skill demand, earnings dynamics, and parental roles in caregiving. She is actively involved in research projects on digitalization, pension economics, and workforce adaptation to technological change.

Pieter Daniël van DenderenView profile

Researcher

• Bottom Trawling
• Benthic Ecology
• Marine Food Webs
• +7 more

Pieter Daniël van Denderen serves as a Senior Researcher at the National Institute of Aquatic Resources (DTU Aqua), Technical University of Denmark, specializing in ecosystem-based marine management. His research integrates fisheries science with environmental impact assessment to support sustainable ocean governance. His research interests focus on understanding anthropogenic impacts on marine ecosystems, particularly examining how bottom trawling affects benthic communities and food web structures. Van Denderen investigates spatial distribution patterns of marine species, trophic interactions, and climate change effects on fish growth paradigms. His work bridges theoretical ecology with practical fisheries management applications. Recent publications demonstrate his leadership in developing assessment frameworks for trawling impacts, benthic monitoring indicators, and computational tools that integrate fisheries data with biogeochemical models. His research portfolio shows strong emphasis on translating scientific findings into management applications for ecosystem-based fisheries. Van Denderen actively supervises PhD research and coordinates multiple international projects addressing critical marine conservation challenges. His collaborative approach spans academic, governmental, and conservation sectors to advance marine biodiversity protection through evidence-based management. He contributes to UN Sustainable Development Goals related to life below water (SDG 14) and climate action (SDG 13) through research on marine ecosystem resilience, sustainable fisheries practices, and climate change adaptation strategies for marine resources.

Anders NielsenView profile

Professor

• Biostatistics
• Stock Assessment
• Fish Population Dynamics
• +5 more

Anders Nielsen is a Professor at the National Institute of Aquatic Resources (DTU Aqua), Technical University of Denmark, working within the Section for Marine Living Resources. His research focuses on the intersection of biostatistics, fisheries science, and marine ecology, with particular emphasis on developing statistically sound approaches for fish stock assessment and management. His research interests span biostatistics with a focus on modeling dynamical systems and state-space models, fish stock assessment methodologies, fish movement patterns, and statistical software development. Nielsen specializes in improving stock assessment models through better statistical frameworks, optimized sampling designs, and incorporation of spatial structure. His work on automatic differentiation in statistical tools has contributed significantly to computational approaches in fisheries science. Analysis of Nielsen's recent publications reveals strong trends in environmental DNA (eDNA) applications for fisheries monitoring, advanced statistical modeling for stock assessments, and integration of climate variables into fish population dynamics. His work bridges theoretical statistical development with practical fisheries management applications, particularly in North Sea and Baltic Sea ecosystems. The recurring themes include uncertainty quantification, retrospective analysis of assessment models, and development of robust frameworks for sustainable fisheries management. Nielsen actively participates in numerous research projects including MAKE-IT (sustainable mackerel management), FISHMAP (fish distribution and fisheries management), REVIVAL (herring stock assessment), CanMac (genetic approaches to mackerel assessment), and LenSAM (length-based assessment models). He serves as project coordinator for CanMac and LenSAM, demonstrating leadership in developing innovative assessment methodologies. His collaborative network spans multiple institutions and countries, reflecting the international nature of fisheries science. As a member of the International Council for the Exploration of the Sea (ICES), Nielsen contributes to international fisheries science and advice. His work directly supports UN Sustainable Development Goals related to sustainable marine resource management. While specific details about laboratory facilities aren't provided in the available information, his research clearly involves advanced computational modeling and analysis of fisheries data, likely utilizing high-performance computing resources at DTU.

Oscar Alberto Rojas CastilloView profile

Researcher

• Biodiversity
• Land-use change
• Ecology
• +5 more

Oscar Alberto Rojas Castillo is a Ph.D. Candidate and Guest Researcher in the Department of Biology at the University of Copenhagen's Faculty of Science, specializing in Freshwater Biology. With extensive international research experience across six countries, he brings a global perspective to his work on biodiversity, land-use change, and freshwater ecosystems. His educational background includes an MSc in Applied Ecology from the International Master in Applied Ecology program (University of Poitiers, University of Kiel, and University of Coimbra) and a Bachelor's in Biology focusing on the impact of oil palm plantations and land-use change on stream water quality. His academic journey reflects a consistent dedication to understanding human impacts on aquatic ecosystems. Rojas Castillo's research expertise centers on freshwater ecology, conservation biology, and land-use change impacts. His work investigates how agricultural expansion, particularly oil palm cultivation, affects freshwater biodiversity and ecosystem functioning, with special attention to the protective role of riparian buffers. He excels in statistical programming and data analysis using R, and has developed sophisticated methodologies for assessing biodiversity patterns in tropical streams. His scientific achievements include a meta-analysis in Conservation Biology that has significantly advanced understanding of riparian buffer effectiveness, along with multiple high-impact publications examining microbial communities, leaf-litter breakdown, and long-term ecological changes in diverse freshwater systems. His research has been recognized with the TALENT Doctoral Fellowship Scholarship, supporting his doctoral work on oil palm expansion impacts. As an active collaborator, Rojas Castillo has worked with researchers across multiple continents, contributing to a growing body of knowledge about sustainable management of freshwater resources in agricultural landscapes. His work bridges theoretical ecology with practical conservation applications, offering evidence-based solutions for mitigating biodiversity loss in tropical regions.