Kristín Hekla Magnúsdóttir is a Researcher in the Department of Neuroscience at the University of Copenhagen, specializing in Systems Neuroscience. Her research examines neural circuits and systems-level brain functions, with a focus on understanding complex behavioral and cognitive processes through interdisciplinary approaches in neuroscience. This work bridges computational modeling and experimental neurophysiology to explore how neural networks generate emergent properties. Contact: kristin.magnusdottir@sund.ku.dk | +4535329355
Ricardo Hernandez Medina serves as a Research Fellow in the Moritz Group at the University of Copenhagen's Faculty of Health and Medical Sciences, where he conducts interdisciplinary research at the intersection of artificial intelligence and biomedical science. His core research interests include: Development and application of deep learning models for biomedical data Drug-omics integration in type 2 diabetes research Microbiome analysis through computational frameworks Generative AI for precision medicine Recent publications reveal a clear trajectory toward solving complex health challenges through advanced computational methods. His 2023 Nature Biotechnology paper introduced novel generative deep-learning approaches for identifying drug-omics associations in diabetes, while the 2022 ISME Communications article established machine learning methodologies for microbiome studies, demonstrating consistent innovation in AI-driven biomedical discovery. As an active member of the Moritz Group, Hernandez Medina contributes to a collaborative environment focused on translating computational advances into clinical insights, with particular emphasis on diabetes pathophysiology and microbial ecosystem dynamics.
Morten Andersen serves as Professor in both Translational and Clinical Pharmacology and Pharmaceutical Informatics at the University of Copenhagen's Faculty of Health and Medical Sciences, Department of Drug Design and Pharmacology. His research bridges pharmacological science with real-world healthcare data analysis, focusing on medication safety and utilization patterns. His research interests center on pharmacovigilance methodologies, particularly using Nordic healthcare registries to evaluate drug safety and pandemic impacts. Key areas include AI applications in drug utilization research, epidemiological surveillance through cumulative sequential analysis, and cross-country comparative studies of medication use during health crises. His work demonstrates strong collaboration across Nordic countries with emphasis on pediatric and geriatric populations. Recent publications reveal a clear trajectory toward integrating advanced statistical methods with real-world evidence generation. His team increasingly applies machine learning to pharmacovigilance data while maintaining rigorous epidemiological approaches to pandemic impact assessment. The research consistently addresses regulatory science questions with practical implications for healthcare systems. Professor Andersen actively participates in academic discourse, evidenced by his speaking engagement at the 2019 CORS Annual Conference on public health regulation. His 102 research outputs demonstrate sustained productivity in high-impact pharmacology and epidemiology journals, with significant recent contributions to understanding pandemic medication effects. His laboratory work leverages Denmark's comprehensive national health registries, collaborating with Nordic research networks to conduct multinational studies. Current projects focus on AI-enhanced drug safety monitoring systems and longitudinal analysis of medication use patterns during global health emergencies, positioning his team at the forefront of modern pharmacovigilance science.
Mohammed Saddik Motawie serves as an Associate Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen, specifically within the Section for Plant Biochemistry. He leads research activities in organic synthesis within the Plant Plasticity Center, focusing on the chemical aspects of plant biochemistry and specialized metabolism. Dr. Motawie's research spans molecular models and synthetic organic chemistry with particular emphasis on chemical synthesis and structural characterization of nucleosides, nucleotides, and carbohydrates. His work sits at the interface of organic chemistry and biology, where he develops complex oligosaccharides for biochemical studies of starch biosynthesis and degradation. He also synthesizes oligosaccharides for gene discovery in bioactive plant glycopolymer biosynthesis, with special attention to cyanogenic glucosides, hydroxynitrile glucosides, and their intermediates for elucidating biosynthetic pathways and enzymatic activities involved in producing bioactive natural products in plants. His recent publication record demonstrates significant contributions to understanding plant specialized metabolism across diverse species. Motawie's work bridges chemical synthesis with plant molecular biology, particularly in areas related to cyanogenic glucosides, oxime biosynthesis, and the production of bioactive compounds with potential pharmaceutical applications. His research has implications for both fundamental plant science and applied biotechnology, including agricultural improvement and drug development. Dr. Motawie's research group is highly collaborative, with extensive international partnerships reflected in his co-authorship on publications spanning multiple continents. His work on plant specialized metabolism has generated considerable attention in the scientific community, as evidenced by citations across various platforms and media coverage of his discoveries.
Li-Ju Hsu is a Guest Researcher in the Department of Neuroscience at the University of Copenhagen's Faculty of Health and Medical Sciences. Their research program focuses on understanding the neural mechanisms underlying locomotion and postural control across multiple animal models. Dr. Hsu's research interests center on spinal cord circuitry and neural control of movement. Their work investigates how specific neuronal populations in the spinal cord generate and modulate locomotor patterns, with particular emphasis on the organization and dynamics of spinal networks. This research spans comparative neurobiology, examining both evolutionary conserved mechanisms (using lamprey models) and mammalian-specific circuitry (using mouse and rabbit models). Their approach integrates neurophysiological recordings, behavioral analysis, and spinal cord preparations to unravel the cellular and circuit basis of motor control. Analysis of Dr. Hsu's publication record reveals a consistent trajectory of high-impact research in motor systems neuroscience, with recent publications in top journals like Nature Communications and Journal of Neuroscience. Their 2023-2024 work has particularly advanced understanding of specific interneuron populations that modulate locomotor frequency and the real-time dynamics of spinal networks. The research demonstrates both methodological sophistication and conceptual innovation in the field of motor control. Dr. Hsu maintains active collaborations with Professor Ole Kiehn's research group at the University of Copenhagen, as evidenced by multiple co-authored publications. Their work has garnered significant attention in the scientific community, with several publications being widely shared on academic social media platforms and referenced in scholarly discussions. The 2020 cancer research paper also demonstrates their ability to contribute to interdisciplinary research beyond their primary neuroscience focus.
Sonal Shreya is a Tenure Track Assistant Professor at the Department of Electrical and Computer Engineering, Aarhus University, within the Faculty of Engineering. Her research focuses on spintronics, neuromorphic engineering, and energy-efficient computing architectures. She explores applications in magnetic memory technologies, spintronic devices, and reservoir computing systems. Her work emphasizes developing novel circuits for in-memory computing, leveraging spintronic components like magnetic tunnel junctions (MTJs), STT-RAM, and spin-torque nano-oscillators. Key areas include energy-efficient data encryption, low-power pattern recognition, and multi-state memristor-based neuromorphic systems. She also investigates design thinking applications in engineering innovation, such as Tesla technology advancements. Recent studies highlight contributions to skyrmion dynamics for racetrack memory, vortex-based security solutions (PUF/TRNG), and thermal-induced memristor behaviors. Her publications span from 2014 to 2025, demonstrating a progression toward advanced spintronic applications in computing and sensing. Dr. Shreya collaborates on compact device modeling for circuit simulations and explores granular materials for reservoir computing. Her research bridges fundamental spintronics physics with practical applications in low-power electronics and hardware security.
Andrzej Wąsowski is a Professor in the Computer Science Department at IT University of Copenhagen. His research focuses on software engineering, formal methods, AI/robotics, and safety-critical systems. He leads projects like REMARO (Marine Robotics reliability) and INSIGHT (program repair). His work emphasizes model-driven engineering, probabilistic systems, and open-source collaboration. Research Interests Formal Verification of Autonomous Systems Probabilistic Programming and Privacy Analysis Software Product Line Engineering Robotics and Cyber-Physical Systems Recent Work Recent articles explore symbolic execution for probabilistic programs, risk-aware marine robotics planning, and privacy quantification in genetic data. He has contributed over 200 ROS bug findings and developed tools like Clafer for model-based design. Teaching & Community Teaches courses in probabilistic programming, advanced software analysis, and model-driven development. Active in open-source communities, including ROS and Clafer. Supervised 20+ PhD students who now hold academic and industry positions. Labs & Projects Leads the SQUARE Group and VBDB bug database. Coordinates the REMARO EU training network. Previously worked on ROSIN (robot software quality) and EBA (Linux kernel analysis).
Søren Risom Kristensen is a Clinical Professor at Aalborg University's Faculty of Medicine and a Ledende Overlæge (Senior Consultant) at Aalborg University Hospital's Department of Clinical Biochemistry. His research focuses on thrombosis , venous thromboembolism , and non-invasive diagnostics via exhaled breath biomarkers . Education: MD (Medical Doctorate) DMSc (Doctor of Medical Science) His work spans pharmacokinetics of anticoagulants , acid-base balance , and blood coagulation dynamics . Recent projects include NILEX for non-invasive pulmonary embolism diagnosis and modeling gas-phase interactions in venous blood sampling . Publications highlight O2/CO2 diffusion and thrombin generation studies. He supervises 5 PhD students , frequently contributes to clinical chemistry workshops , and has been cited for expertise in thrombosis risk assessment (e.g., AstraZeneca vaccine safety, eThrombosis in gaming). Media engagements include Danish national press on exhaled breath diagnostics and blood cancer detection .
Jakob Stoustrup is a Professor in the Department of Electronic Systems at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on control systems engineering with applications in smart grids, energy sustainability, and medical technology. He leads the Green Lab mission on sustainable Danish energy systems and has contributed to UN Sustainable Development Goals related to clean energy and climate action. Key roles: PI on major projects like ADAPT-T2D (Type 2 Diabetes Management) and BEO-COVID (pandemic modeling) Expertise: Smart grid control, fault-tolerant systems, renewable energy integration Leadership: Chair of AAU's Research Indicator Committee (2022-2023) Research interests span control theory fundamentals, climate change mitigation strategies, and interdisciplinary innovation frameworks like the BUMP portfolio system. Over 380+ publications and 47+ projects demonstrate his impact in energy systems, medical engineering, and pandemic response technologies. Active in media discussions on energy policy and smart infrastructure.
Carlos M. Lima Azevedo is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Transport Division, Intelligent Transport Systems Section within the Department of Technology, Management and Economics. He also serves as a Research Affiliate at MIT's ITSLab. His research focuses on mathematical modeling of human mobility, smart mobility services, and integrated transportation technologies. He has held roles including Research Scientist at MIT's ITSLab and Executive Director of MIT's Transportation Education Committee. Education includes a PhD from MIT (2014) and an MSc from LNEC (2008). Key projects include SimMobility (a simulation platform) and Tripod (sustainable travel incentives). Teaching includes courses on transportation systems and data analysis at MIT. His research interests span traffic simulation, safety analysis, and agent-based modeling. Recent work emphasizes equity in shared mobility, AI-driven traffic control, and urban sustainability. He collaborates on projects like Mobility of the Future and FMOD (Flexible Mobility On-Demand). His contributions include frameworks for automated mobility-on-demand systems and policy-sensitive models for transportation networks.
Stefan Pollok is a Postdoctoral Researcher at the Department of Energy Conversion and Storage, Technical University of Denmark (DTU), specializing in the intersection of magnetism and deep learning for advanced magnetic sensor development. His research focuses on Extraordinary Magnetoresistance devices , magnetic field prediction , and deep learning applications in magnet design. Key investigations include topography effects, contact resistance impacts, and neural network optimization for magnetoresistive systems, leveraging computational physics and AI methodologies. Recent publications reveal a strong trend toward generative adversarial networks for magnetic field modeling and structural optimization of magnetometers, demonstrating interdisciplinary innovation across physics and computer science. Pollok actively supervises PhD candidate Sasi Kumar in the DTU project "Design and Modeling of Ultra-sensitive Bio-Magnetometers" (2022-2025), building on his recently completed doctoral work in deep learning for magnet optimization. Based in DTU Energy's Structural Analysis and Modelling group, he collaborates with international researchers on next-generation magnetic sensing technologies for biomedical applications.
Jichen Zhu is a Full Professor in Human-Computer Interaction and Design at IT University of Copenhagen, where he leads the Procedural eXpression Lab. His research focuses on the intersection of artificial intelligence, human-computer interaction, and design, with particular emphasis on explainable AI, user-centered design, and AI in creative processes. His research interests span multiple domains within human-AI interaction: Explainable Artificial Intelligence (XAI) and transparent AI systems AI in design and creative processes Human-centered AI and user experience Game design with AI elements Player modeling and personalization in games Well-being technologies and health applications of AI Professor Zhu's recent publications demonstrate a strong focus on bridging the gap between AI capabilities and human understanding. His work combines theoretical insights with practical applications in gaming, design, and health contexts, often exploring how AI can enhance human creativity while maintaining transparency and user control. Professor Zhu has received several prestigious awards for his research: Best Paper Award at the 2021 Conference of Foundation of Digital Games (FDG'21) Best Paper Award Finalist in 2022 Honorable Mention Paper Award at the 2021 Conversational User Interface Conference (CUI'21) He serves as Principal Investigator for the ExPAI (Explainable Personalization AI for Health and Well-Being) project funded by the Novo Nordisk Foundation (2021-2027), exploring how explainable AI can personalize health interventions while maintaining transparency. Professor Zhu also contributes significantly to the academic community through editorial roles at IEEE Transactions on Computational Intelligence and AI in Games and as Conference Chair for the 2021 CHI Conference on Human Factors in Computing Systems. As Head of the Procedural eXpression Lab, Professor Zhu leads research that develops innovative approaches to human-AI collaboration in creative domains, focusing on how AI can support human creativity while preserving user agency and understanding.
Kasper Tolborg is a Tenure-Track Assistant Professor in the Department of Chemistry and Bioscience at Aalborg University, Faculty of Engineering and Science, where he leads the Computational Materials Chemistry research group. He is also a Villum Young Investigator, recognized for his innovative work in materials design. His research focuses on computational materials design for sustainable technologies, particularly targeting hybrid organic-inorganic ferroelectric and piezoelectric materials, as well as inorganic solid-state electrolytes for next-generation batteries. His work emphasizes the role of entropy, temperature, and disorder in determining material properties and stability, employing quantum chemical, crystallographic, and data-driven methods. Tolborg's recent publications highlight his expertise in machine learning force fields, vibrational free energy calculations, orientational disorder modeling, and anharmonic lattice dynamics—key tools in accelerating materials discovery. His research trends show a strong integration of AI and computational physics to predict crystal stability and design disordered materials with tailored functionalities. Scientific Awards and Recognitions: Villum Young Investigator Grant Independent Research Fund Denmark Postdoctoral Fellowship Schmidt Futures AI in Science Postdoctoral Fellowship Inflection Award – 30 Best Young Scientists Working on Climate Solutions Research Leadership: Tolborg is Principal Investigator (PI) on two major research projects: Entropy in materials design: Accelerated discovery of disordered solid electrolytes (2025–2030) and Computational design of disordered crystalline materials (2024–2027). These projects aim to revolutionize materials discovery through computational modeling and AI. He is actively recruiting PhD students and postdoctoral researchers to join his group. Collaborative and Professional Engagement: Tolborg has been an active participant in international conferences, presenting on topics such as machine learning force fields and disorder modeling. He is a member of the Censorkorpset i kemi , contributing to academic governance in Denmark.
Olav Geil is a Professor and currently serves as Vice-dean at the Faculty of Engineering and Science, Aalborg University, Denmark. He is affiliated with the Department of Mathematical Sciences, where he conducts research in algebraic coding theory, discrete mathematics, and computational mathematics. His work bridges theoretical mathematics with applications in cryptography, data protection, and secure computation. His research interests center on error-correcting codes , quantum codes , affine variety codes , and secret sharing , with strong emphasis on algebraic structures such as polynomial codes, Weierstrass semigroups, and function fields. He applies these in privacy-preserving technologies and secure distributed systems. The recent publications reflect a sustained focus on coding theory and its applications in both classical and quantum domains, with increasing engagement in educational innovation, particularly in Project-Based Learning (PBL) in engineering education. His work spans theoretical mathematics, applied cryptography, and interdisciplinary educational development. Scientific Awards: No specific awards listed in the provided text. Geil has been involved in advising and research grants, including participation in multiple funded research projects such as SECURE , Quantum Codes , and Secret Sharing . He has contributed to educational projects like PBL and Mathematics and Microcredentials for PBL , indicating active mentorship and curriculum development. He has collaborated with PhD students and international researchers, suggesting an ongoing advisory role. He is involved in interdisciplinary teams focusing on digital transformation , secure estimation , and privacy-preserving computation , often working within Aalborg University’s PBL framework. His leadership as Vice-dean places him at the center of academic strategy and innovation in engineering and science education.
Lasse Røngaard Clausen is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in thermal energy systems and sustainable energy technologies. His research is deeply aligned with global sustainability goals, particularly in renewable energy, biofuels, and energy efficiency. His research interests span biofuel production , thermodynamic modeling , gasification , green hydrogen , and techno-economic analysis of energy systems. He applies advanced modeling techniques, including Dynamic Network Analysis (DNA), to evaluate and optimize energy conversion processes, particularly for maritime and industrial applications. The recent publications highlight a strong trend toward sustainable fuel production from biomass and renewable electricity, with a focus on dimethyl ether (DME) , pyrolysis bio-oils , and solid oxide electrolysis for green hydrogen . His work integrates techno-economic and environmental assessments to identify viable pathways for decarbonizing energy-intensive sectors. Scientific Awards: Third Price EFC17 Best Paper Awards Lasse Røngaard Clausen actively supervises PhD students and participates in major research projects related to sustainable energy systems, including grid-scale storage and carbon-negative fuel production. He has been involved in grants and collaborative projects focusing on solid oxide cell systems , biomass-to-fuel conversion , and renewable marine fuels . His collaborations extend across Denmark and internationally, contributing to both academic and industrial advancements in clean energy. He is affiliated with research teams working on Thermochemical Biofuel Production , Modelling Sustainable Maritime Fuels , and Optimal Design of Solid Oxide Cell Systems , where he plays a supervisory and collaborative role in advancing next-generation energy technologies.
