Pedro Monteiro is an Assistant Professor (tenure track) in the Department of Organization at Copenhagen Business School. His research focuses on organizational expertise development, bureaucratic systems, and qualitative methods, with fieldwork in engineering firms and the public sector. Academy of Management Annals Best Article Award Louis Pondy Award recipient Max Boisot Award winner Poets and Quants Top 50 Undergraduate Business Professors 2024 Monteiro's work spans organizational theory, cybersecurity coordination, and migrant expertise challenges. He serves as Communications Editor for Administrative Science Quarterly and contributes to qualitative research communities through co-founding the Talking About Organizations Podcast and Ethnography Atelier. His research projects include a Gothenburg University collaboration funded by Otto Mønsteds Fond (2023). Current teaching includes Organizational Behavior at BSc level and Strategy, Organization & Leadership at MSc level.
Mikkel N. Schmidt is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on statistical modeling, Bayesian methods, and their applications in science and industry. He has held visiting roles at Columbia University (2007) and Cambridge University (2008-2009). His work integrates probabilistic modeling with computational inference to address complex problems in diverse fields such as molecular discovery, optical communication, and brain connectivity analysis. Education highlights include visiting scholar and postdoctoral experiences at top-tier institutions. Research interests span statistical methodology development, machine learning applications, and interdisciplinary problem-solving. Current projects involve Bayesian neural networks for molecular discovery and federated learning optimization. Advising efforts include supervising multiple PhD students in areas like molecular discovery and denoising diffusion models. Notable collaborations involve work on materials science, quantum communication, and medical signal processing. His contributions bridge theoretical advancements with practical industrial applications, emphasizing interdisciplinary innovation.
Prithvi Ravi Kantan is a full-time Researcher at Aalborg University's Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. His work focuses on developing sound-based and multimodal feedback systems for motor rehabilitation, integrating principles from music technology and biomedical engineering. Education: PhD in Embodied Sonification Design (2021-2023) M.Sc. in Sound and Music Computing (2018-2020) B.E. in Electronics and Telecommunications (2009-2013) Research interests include real-time auditory feedback systems for neurological rehabilitation, user-centered design of clinical technologies, and the application of generative music in data sonification. He actively contributes to projects like HearWalk (2023-2027), exploring sound-facilitated motor learning in cerebral palsy patients. Notable achievements include winning the Danish Sound Day Research Pitch Battle (2023) and receiving the Best Student Paper Award at ICAD 2024. His work aligns with UN SDG 3 (Good Health) and SDG 4 (Quality Education). Teaching responsibilities include coordinating bachelor and master-level courses in PBL-based learning, emphasizing interdisciplinary approaches. He has supervised multiple student projects and contributed to over 39 publications since 2013.
James A. Evans is the Max Palevsky Professor of Sociology and Data Science at the University of Chicago, where he is a faculty member in the Department of Sociology within the Division of the Social Sciences. He is the director of Knowledge Lab and the Faculty Director of the Masters Program in Computational Social Science . He holds additional affiliations as an External Professor at the Santa Fe Institute , External Faculty at the Complexity Science Hub, Vienna , and Visiting Faculty Researcher at Google . Education: B.A. in Anthropology, Brigham Young University (1994) M.A. in Sociology, Stanford University (1999) Ph.D. in Sociology, Stanford University (2004) His research centers on the collective system of thinking and knowing , exploring how ideas emerge, spread, and evolve through social and technical systems. He investigates innovation, collective intelligence, and the science of science , using large-scale data modeling, machine learning, generative AI, and network analysis to study knowledge creation. His work spans domains including science, technology, law, and religion, with a focus on how AI is reshaping discovery processes. The most recent publications highlight trends in AI and scientific discovery , with a strong emphasis on innovation, knowledge systems, and human-machine intelligence . His research increasingly explores AI as a transformative agent in science , including the concept of 'alien intelligence' and the development of complementary AI to augment human capacity. Projects like the $20M NSF-funded APTO initiative aim to build language models that predict technological outcomes by analyzing historical data. Scientific Recognition and Funding: Research supported by the National Science Foundation (NSF) , National Institutes of Health (NIH) , Air Force Office of Scientific Research (AFOSR) , and philanthropic sources Work published in Nature, Science, PNAS , and leading social science journals Featured in The New York Times, The Economist, The Atlantic, Wired, NPR, BBC, Le Monde , and others James Evans advises on science policy and funding strategies, emphasizing the importance of diversity, interdisciplinary collaboration, and demographic balance in fostering innovation. He critiques current academic incentives and proposes alternative discovery regimes. He leads Knowledge Lab , a collaborative research environment that conducts seminars, grants, and employment opportunities in computational social science and AI.
John Bagterp Jørgensen is a Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on computational methods for Model Predictive Control (MPC), numerical optimization, and dynamic optimization, with applications in industrial processes, biomedical systems, and sustainable energy. He holds leadership roles in 2-control ApS, a company developing advanced control solutions for industries such as cement production and oil recovery. Education: PhD and M.Sc. in Technical Sciences from DTU (1997–2005 and 1991–1997). Professional experience includes roles as an Assistant Professor at DTU and CTO/CEO at 2-control ApS. Research interests span MPC algorithms, numerical methods for differential equations, and system identification. His work bridges academia and industry, addressing challenges in energy efficiency, vaccine manufacturing, diabetes treatment, and cement production processes. His recent articles emphasize industrial applications of control systems, including cement rotary kiln dynamics, vaccine production optimization, and dual-hormone artificial pancreas development. He has received the Nordic Energy Research Award (1994) and contributed to UN Sustainable Development Goals related to affordable energy and industrial innovation. Advising and grants: Supervises multiple PhD projects on topics like electrification of industrial processes and sustainable SCP production. Collaborates with global institutions on energy and biomedical research. Labs/teams: Leads teams in DTU’s Scientific Computing and Center for Energy Resources Engineering, with active partnerships in industry and academia.
Jesper Rindom Jensen is an Associate Professor in the Department of Electronic Systems at Aalborg University, Denmark, under the Technical Faculty of IT and Design. He is the Head of the Audio Analysis Lab, a leading research group in audio signal processing, since 2023. His work bridges theoretical signal processing and practical applications in artificial intelligence and audio systems. Full Name: Jesper Rindom Jensen Institution: Aalborg University School: The Technical Faculty of IT and Design Department: Department of Electronic Systems Research Lab: Audio Analysis Lab Email: jrj@es.aau.dk Office: Fredrik Bajers Vej 7B, B5-206, 9220 Aalborg Øst, Denmark Education: M.Sc. in Electronic Systems, Aalborg University (cum laude, 2009) Ph.D. in Signal Processing, Aalborg University (2012) Research Interests: Jesper Rindom Jensen's research centers on audio signal processing, with a strong emphasis on artificial intelligence, speech enhancement, noise reduction, beamforming, and multichannel systems. His work applies to diverse domains including robot and drone audition, spatial audio, and active noise control. He develops novel filtering techniques, including variable span linear filters and harmonic beamformers, to improve speech quality and intelligibility in noisy and reverberant environments. Publication Trends: His recent publications (2023–2025) show a strong trend toward integrating deep learning with classical signal processing, particularly in direction-of-arrival estimation, underwater acoustics, and robust multichannel systems. There is a clear focus on real-world applications, including sound zone control, active noise control, and limited-data scenarios using knowledge distillation. His work consistently emphasizes robustness, efficiency, and practical deployment. Scientific Awards and Recognition: AAU Talent for emerging research leaders Recipient of a competitive postdoc grant from the Danish Independent Research Council Advising and Grants: Jesper has supervised multiple PhD and master’s students, including Nørholm, Karimian-Azari, Zhang, and Wang. He has led significant research projects such as 'Sound Processing for Robots and Drones' (2018–2020) and participated in others related to joint audio-visual tracking and speech enhancement. His research has been supported by national funding bodies, reflecting its innovation and impact. Labs and Teams: He is a founding and core member of the Audio Analysis Lab at Aalborg University, which focuses on cutting-edge audio signal processing and AI-driven solutions. The lab fosters interdisciplinary collaboration and has produced numerous publications, datasets, and real-world applications. Jensen’s leadership since 2023 underscores his pivotal role in shaping the lab’s research direction.
Wenjing Zhang is a Professor and Head of the Section for Water Technology and Processes at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU). She is also affiliated with the DTU Microbes Initiative, contributing to interdisciplinary research in sustainable water technologies and environmental nanomaterials. Professor, DTU Head of Section, Water Technology & Processes Member, DTU Microbes Initiative Her research spans nanofiber technology, electrospinning, membrane processes, and catalytic materials for environmental applications. She focuses on innovative solutions for water purification, plastic waste recycling, CO2 photoreduction, and green hydrogen production, aligning with UN Sustainable Development Goals. The recent publications highlight a strong trend in advanced materials for environmental sustainability, particularly electrospun nanofibers, heterojunction photocatalysts, and ceramic membranes. These works emphasize applications in microplastic degradation, solid oxide cells, and chemical recycling of plastics, reflecting a multidisciplinary approach combining materials science, electrochemistry, and environmental engineering. Researcher at DTU Energy becomes honorary professor in China Wenjing Zhang actively supervises PhD students and leads multiple research projects, including EU and nationally funded initiatives on decentralized wastewater treatment and biocatalytic membrane systems. She collaborates with leading researchers and institutions, securing funding for high-impact environmental technologies. Her lab focuses on nanostructured membrane design and advanced fabrication of porous ceramics for industrial and municipal applications.
Remus Teodorescu is a Professor at AAU Energy , Aalborg University , specializing in Power Electronics System Integration and Materials . His work bridges Lithium-Ion Batteries , Modular Multilevel Converters , and Smart Battery Systems . Education : Not explicitly mentioned in the text. Research Interests focus on Battery Management Systems , AI-Driven Energy Optimization , and Power Electronics for renewable energy integration. Key projects include Digital Twin for Lithium-Ion Batteries and BMS-DC for Data Centers . Recent Publications (2025) emphasize Finite Set MPC , Gradient Descent Optimization , and AI in Battery Parameter Estimation . His 2024 work explores Physics-Informed Neural Networks and Fault-Tolerant Converters . Scientific Awards : Villum Foundation Grant (313 million kroner, 2021) Named world's best in electrical engineering (2023) Advising includes supervising PhD projects on AI-Accelerated Battery Twins and Data-Driven SOH Estimation . Collaborations span Energy Cluster Denmark and Villum Fonden .
Trine Mygind Korsby is an Assistant Professor at the Department of Anthropology, University of Copenhagen, Faculty of Social Sciences. Her research is centered on the anthropology of transnational crime, with a focus on human trafficking, sex work, pimping, and criminal livelihoods. She conducts long-term ethnographic fieldwork in Romania, Italy, Portugal, and Denmark. Her primary research interests include: Anthropology of the body, desire, and labor Morality, perpetration, and ethnographic unease Skills and social relationships in criminal economies Collaborative concept-work and experimental research methods Her recent publications (2023–2025) reflect a deep engagement with the lived realities of traffickers and victims, the ambiguities of fieldwork in criminal settings, and the moral complexities of perpetration. Themes such as agency, visibility, time, and freedom recur across her work, particularly in urban and transnational contexts. She has received significant recognition, including: Marie Skłodowska-Curie Global Fellowship (2022) Elite Research Travel Grant from the Danish Ministry of Higher Education and Science (2013) Individual Postdoc Grant from the Independent Research Fund Denmark (2015) Korsby is affiliated with the Centre for Global Criminology and was a visiting scholar at UC Berkeley (2013) and a postdoc at Stanford University (2016–2018). In 2023–2024, she was selected for the UCPH Forward program for research leadership. Her current project, TRAFFICKER, explores the social relationships of convicted human traffickers and their integration of legal and illegal work, with a research stay at CUNY Graduate Center (2024–2025). She has co-edited a special issue on transnational street economies in Migration & Society (2023) and has contributed to public discourse through media appearances and articles challenging simplistic narratives about traffickers and victims.
Dorte Hammershøi is a Professor in the Department of Electronic Systems at The Technical Faculty of IT and Design, Aalborg University, Denmark. Her research focuses on acoustics, sound engineering, and hearing science with significant contributions to human hearing, ear canal acoustics, and audio technology applications. Her research interests include: Temporary Threshold Shift and frequency resolution in human hearing Ear canal acoustics and sound pressure level measurement Distortion Product Otoacoustic Emission (DPOAE) analysis Impulse response and acoustic impedance studies Hearing aid technology and rehabilitation methodologies Virtual reality audio interfaces and accessibility applications Professor Hammershøi's recent publications demonstrate a strong clinical-engineering interdisciplinary approach, bridging theoretical acoustics with practical hearing rehabilitation applications. Her work on hearing aid fitting methodologies, occupational noise exposure effects, and virtual reality audio interfaces shows consistent innovation in translating engineering principles to clinical practice. The research shows particular attention to individualized hearing solutions and accessibility technologies. Her scientific contributions have been recognized with: Dansk Lydpris 2020 (awarded November 17, 2021) Ambassadør for Aalborg (awarded September 15, 2004) Professor Hammershøi has supervised 5 PhD students and led numerous research projects including the ongoing "Audio Only VR for Blind Gamers" project (2024-2028) funded by the Independent Research Foundation of Denmark, and the completed "BEAR: Better Hearing Rehabilitation" project (2016-2022). Her research has attracted significant media attention with 110 press/media appearances discussing hearing damage prevention, tinnitus, and public health implications of noise exposure. She maintains active professional engagement through committee memberships (46 documented activities), international collaborations, and contributions to clinical practice guidelines. Her work continues to influence both academic research and practical applications in hearing science and audio engineering.
Claudia Wagner is a full professor for Applied Computational Social Sciences at RWTH Aachen University and the Scientific Director of the Computational Social Science department at GESIS—Leibniz Institute for the Social Sciences. She is also an External Faculty member at the Complexity Science Hub Vienna. Her work bridges computer science and the social sciences to study algorithmic systems and their societal impacts. Her research focuses on socio-technical phenomena such as inequality, sexism, and perception bias in algorithmically infused societies. She investigates methodological challenges in using digital behavioral data to study human behavior, attitudes, and group dynamics. Her interests span computational social science, algorithmic fairness, network science, and AI ethics. The analysis of her recent publications reveals a strong emphasis on bias, fairness, and methodological rigor in digital data analysis. Her work spans AI psychometrics, gender inequality in online platforms, and validation frameworks for digital traces. She frequently publishes in top-tier venues such as Nature , Science , and AAAI conferences. DOC-fFORTE fellowship from the Austrian Academy of Sciences Four best paper awards at international conferences (ICWSM, CSCW, WWW, AAAI) Associate Editor, EPJ Data Science Steering Committee Member, International AAAI Conference on Web and Social Media Board Member, International Society for Computational Social Science Claudia Wagner has led and co-led substantial research projects funded by national and international agencies. She mentors a diverse group of PhD students working on topics like algorithmic bias, data quality, and dehumanization. She has organized training events such as the CSS Methods Summer School and delivered keynotes globally on inequality and computational social science. She leads the Computational Social Science department at GESIS and collaborates with interdisciplinary teams at RWTH Aachen and the Complexity Science Hub. Her group develops tools for measuring algorithmic impacts and visualizing disparities in socio-technical systems, such as the 'Planets of Disparity' dashboard.
Thomas J. D. Jørgensen is an Associate Professor and Head of the Research Section of Biomedical Mass Spectrometry at the Department of Biochemistry and Molecular Biology, University of Southern Denmark. He leads an active research group focusing on protein structural dynamics using mass spectrometry and hydrogen/deuterium exchange methodologies. His research interests lie at the intersection of biochemistry, structural biology, and systems biology, particularly in understanding how protein dynamics govern function and dysfunction in diseases such as Parkinson’s and metabolic disorders. He employs advanced mass spectrometry techniques to study conformational changes, protein-protein interactions, and enzyme regulation, with a strong emphasis on lipoprotein metabolism and neurodegenerative disease mechanisms. The most recent articles highlight a consistent focus on protein dynamics in lipid metabolism, conformational diseases, and glycoprotein analysis, utilizing hydrogen/deuterium exchange mass spectrometry (HDX-MS) and related techniques. Themes include allosteric regulation of enzymes, protein unfolding, and structural phenotyping of disease-related aggregates. Member of the evaluation committee at the Swedish Research Council (2015) Chairman of multiple PhD evaluation committees (2014) Editorial and peer-review contributions to the scientific community He currently supervises PhD students and is involved in several major research projects funded by organizations such as the Michael J. Fox Foundation and Novo Nordisk Fonden. His lab, the Thomas J. D. Jørgensen Lab, includes postdoctoral researchers, academic staff, and industrial PhD students, fostering a collaborative and interdisciplinary research environment focused on biomedical mass spectrometry and systems biology.
Sara Green is an Associate Professor at the Department of Science Education, University of Copenhagen, specializing in the Section for History and Philosophy of Science . Her work bridges philosophy, biology, and biomedical ethics, focusing on the epistemic and social implications of datafication in healthcare and the ethical challenges of precision medicine and consumer health technologies. Green holds a PhD in Science Studies from Aarhus University and was a postdoctoral fellow at the University of Pittsburgh’s Center for Philosophy of Science. She leads the PROMISE and COPE projects and contributes to EU-funded initiatives like DataSpace , TRANSCEND , and REDESIGN . Research Themes: Philosophy of precision medicine and data-driven healthcare Ethics of patient-derived organoids and organ-on-chip technologies Epistemic standards in consumer medicine Interdisciplinary integration in systems biology Article Trends: Recent publications explore organoid ethics , datafication in medicine , and philosophical frameworks for emerging health technologies . Key sub-fields include biobanking, cross-border data governance, and temporal dimensions of personalized medicine. Scientific Recognition: DFF Research Project 1 (2020) Semper Ardens Accellerate Grant (2023) Silver Medal, Royal Danish Society of Science and Letters (2024) Werner Callebaut Prize (2015) EU SwafS-Horizon stipend (2020) Teaching & Supervision: She teaches philosophy of science to students in biology, chemistry, and sports science, supervising projects on philosophy of biology and medicine and co-supervising science communication research. Collaborative Networks: Green collaborates across Denmark, the EU, and the U.S., particularly on cross-border health data infrastructure and reduction of animal models through organoid technologies.
Christian Igel is a Professor at the Department of Computer Science, University of Copenhagen, and serves as director of the SCIENCE AI Centre . He is also a co-lead of the Pioneer Centre for Artificial Intelligence in Denmark. His academic journey includes a Doctoral degree from Bielefeld University (2002) and a Habilitation degree from Ruhr-University Bochum (2010). Igel is a Juniorprofessor (2002–2010) and has held editorial roles at journals like KI - Künstliche Intelligenz and Artificial Intelligence Journal . Doctoral degree: Faculty of Technology, Bielefeld University, Germany (2002) Habilitation degree: Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany (2010) His research spans Machine Learning , focusing on Support Vector Machines , Evolution Strategies , Reinforcement Learning , Deep Neural Networks , and PAC-Bayesian Analysis . He applies these methods to Environmental Monitoring , Medical Diagnostics , and Climate Research . Recent publications highlight work on adversarial machine learning , environmentally sustainable AI , and tree resource mapping using deep learning. His scientific awards include being a ELLIS Fellow . Igel’s software tools like Shark , woody , and Multi-Planar UNet are widely used in research and industry. Notable grants and collaborations involve projects with European Lab for Learning and Intelligent Systems (ELLIS) , SCIENCE AI Centre , and international teams in Denmark , Germany , and France . His lab leadership emphasizes open-source frameworks and reproducible research. Editorial Roles: German Journal on Artificial Intelligence , Evolutionary Computation Journal , Artificial Intelligence Journal Software Projects: Shark , woody , Multi-Planar UNet , U-Time Collaborations: SCIENCE AI Centre , Pioneer Centre for Artificial Intelligence , European Lab for Learning and Intelligent Systems
Claire Maxwell is a Professor in the Department of Sociology at the University of Copenhagen, affiliated with the Faculty of Social Sciences. She joined the department in 2018 from University College London. Her research focuses on elites, global mobility, education systems, and social inequality, with a particular emphasis on how internationalization and mobility shape class dynamics and family practices. Education: PhD in Sociology (University of London, 2005) MSc in Applied Social Studies and Social Work (University of Oxford, 1999) MA(Hons) in Politics, Philosophy and Economics (2005) Research Interests: Maxwell’s work examines global middle-class families, elite education systems, and the interplay between mobility and nationalism. She pioneered the concept of 'cosmopolitan nationalism' to analyze how global agendas are re-purposed by elites. Current projects include SkillsINCORP (funded by the Independent Research Fund Denmark), studying high-skilled professionals' incorporation into Danish workplaces, and Onboard Denmark (Innovation Fund Denmark), developing tools for SMEs to recruit international talent. Grants & Projects: SkillsINCORP (2022-2025): Investigating professional integration in Danish firms Onboard Denmark (2021-2024): Digital tools for SMEs Israeli Science Foundation-funded study on mobile Israeli families (2020-2023) Labs/Teams: Leads cross-disciplinary teams collaborating with industry partners on global mobility challenges. Co-edits the International Studies in Sociology of Education (until 2024) and the Education in Global Perspectives book series.
