Jonas Wolpers Reholt is an Instructor at the Department of Computer Science, University of Copenhagen, affiliated with the Algorithms and Complexity (AC) section. His work bridges theoretical computer science with practical applications, particularly in the realm of efficient computation and algorithmic paradigms. Role: Instructor University: University of Copenhagen Department: Algorithms and Complexity Email: jonas.reholt@di.ku.dk The AC section focuses on understanding computational efficiency through mathematical theory, with impacts on machine learning and applied domains. Jonas’s research aligns with themes like program analysis and reversible computing, as evidenced by his 2023 publication on static dereversibilization techniques. His recent work contributes to the theoretical foundations of reversible computation, with applications in software optimization and data structures. The publication appears in the Lecture Notes in Computer Science series, reflecting interdisciplinary collaboration and rigorous peer-reviewed scholarship. As a member of the AC section, Jonas engages in teaching and research alongside prominent figures like Professor Mikkel Thorup, who leads the section. The AC section also hosts major research centers such as BARC and DABAI, fostering innovation in algorithm design and big data analytics.
Damon J. Carrad serves as a Researcher in the Department of Energy Conversion and Storage at the Technical University of Denmark (DTU), specializing in advanced materials engineering with focus on nanowire systems and quantum devices. His work bridges semiconductor engineering and condensed matter physics through experimental nanofabrication and characterization. His research interests span Nanowires , Superconducting Materials , Selective Area Growth techniques , and Quantum Device Engineering . Current work investigates the intersection of nanoscale semiconductor structures with quantum phenomena, particularly examining magnetotransport properties, superconductivity in oxide interfaces, and cryogenic multiplexing applications. His recent publications demonstrate expertise in III-V semiconductor nanowires, statistical device reproducibility, and integration of 1D nanostructures into functional electronic systems. Collaborative work with international research groups appears across multiple high-impact journals including Nature Communications and Nano Letters. As an active PhD supervisor, he guides research in three ongoing doctoral projects focused on semiconductor lattices, nanowire synthesis, and electronic properties of oxide membranes. His laboratory work emphasizes practical device integration approaches for next-generation quantum technologies.
Mads Rosendahl is an Associate Professor at Roskilde University's Department of People and Technology, specializing in Programming, Logic, and Intelligent Systems. He holds an MSc and PhD in Computer Science. His research focuses on energy-efficient software/hardware algorithms, static analysis for hardware design, and programming language approaches to concurrency and performance optimization. Key projects include 'Energy and Performance Trade-offs in Hardware and Software Implementations' (2022-2023) and 'ENTRA: Whole-systems energy transparency' (2016). He has collaborated on initiatives like ICT-Energy (2013-2016) and Situated Design Methods (2013-2014), emphasizing interdisciplinary research. His research interests span energy-efficient computing, static program analysis, algorithm implementation on low-level hardware, and compiler optimization. Notable contributions include work on probabilistic resource analysis and abstract interpretation techniques. Publications highlight advancements in static communication analysis for hardware design (2025), energy-efficient algorithms (2025), and language support for embedded systems (2023). He has also presented widely, including lectures on semantics-based cost analysis (2012) and participation in workshops like DanSAS and Reversible Computation events. Rosendahl contributes to academic service through peer reviews and conference activities, reflecting his commitment to advancing theoretical and applied computer science.
Niels Jørgensen is an Associate Professor at Roskilde University's Department of Programming, Logic and Intelligent Systems Science Studies. His research focuses on IT security, technology theory, and the history of cryptography, particularly exploring how social movements shape technological advancements. He has contributed to projects like 'Situated Design Methods' and has participated in discussions on mobile technology security and open-source development. His work bridges technical analysis with societal impact, exemplified by studies on mobile phone hacking and cryptographic protocols. Jørgensen's publications span interdisciplinary topics, including open-source governance, educational design methodologies, and the integration of engineering principles in large-scale projects like the Boeing 777. He has engaged in activities such as lecturing on e-government curriculum design and collaborating on initiatives like the EU-supported CLIENT project. His research often highlights the interplay between technical systems and human agency, emphasizing the historical and social dimensions of technological evolution.
Federica Lo Verso is a researcher at the Department of Mathematics and Computer Science, University of Southern Denmark, specializing in polymer science and nanoparticle research. Her work bridges computational modeling and experimental validation in the synthesis and structural analysis of microgels and polymer nanoparticles. Key affiliations: IMADA (Interdisciplinary Centre for Advanced Materials Simulation), eScience Center Research Focus: Her research explores polymer chain behavior, nanoparticle formation, and nanocomposite dynamics. Keywords include polymer science, nanotechnology, and condensed matter physics, with specific attention to microstructure optimization and topological constraints. Selected Publications (2016-2018): Recent work analyzes microgel deswelling, chain stiffness effects, and solvent-driven nanoparticle structuring. Trends highlight computational approaches to polymer self-assembly and nanomaterials engineering. Collaborative Network: Frequent collaborations with researchers like Arbe, Colmenero, Pomposo, and Moreno across institutions, focusing on interdisciplinary studies of polymer-based nanomaterials.
Anna Murphy Høgenhaug is a Part-time Lecturer in the Master in Law (LL.M.) program at the Faculty of Law, University of Copenhagen, while concurrently pursuing her PhD studies. She serves as a Guest Researcher and External Lecturer at the MOBILE - Center for Global Mobility Law, with her primary affiliation at Karen Blixens Plads 16 in Copenhagen S. Her research focuses on the intersection of artificial intelligence and refugee law, particularly examining algorithmic decision-making in Scandinavian asylum systems. Key interests include explainable AI governance, bias detection in migration adjudication, and the legal implications of machine learning in administrative processes. Her work employs quantitative analysis of asylum decision patterns across Denmark, Norway, and Sweden. Recent publications demonstrate a clear trajectory toward demystifying 'black box' refugee status determination through XAI (Explainable AI) frameworks like SIDU-TXT. Her scholarship bridges technical AI development with practical legal applications, emphasizing transparency requirements under the AI Act and Nordic administrative law traditions. Høgenhaug actively collaborates with researchers including Gammeltoft-Hansen, Jarlner, and Moeslund on interdisciplinary projects spanning law, computer science, and migration studies. Her ORCID profile (0009-0004-6715-0561) documents growing influence in computational legal studies. Her teaching activities center on advanced legal topics within the LL.M. program, particularly courses related to AI regulation and international protection systems. Current research directions include developing holistic assessment approaches for NLP in legal contexts and analyzing religious conversion claims within Nordic asylum frameworks.
Tonci Balic Zunic is an Associate Professor in Mineralogy and Crystallography at the Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen. He leads the X-ray diffraction laboratory and has made significant contributions to the field of mineralogy, particularly in the study of crystal structures and diffraction methods. His work spans theoretical development, experimental techniques, and practical applications in geological and planetary studies, materials development, environmental protection, and medical applications. His educational background includes a Dr.Sci in Geology from the University of Zagreb (1984), a PhD in Mineralogy & Petrology (1978), and a Master of Science in Geology (1975), all from the University of Zagreb. His academic career began in Croatia before moving to Denmark in the early 1990s. Dr. Balic Zunic's research focuses on understanding the nature of the solid state through mathematical tools and experimental methods. His primary areas of interest include Mineralogy of Icelandic fumaroles, Limits and improvement of the Rietveld method in Mineralogy, High-pressure crystallography of sulphosalts, and Mineralogy of Stone Age artefacts. He has developed original theoretical tools for the quantification of atomic coordination deformations in solids and authored the computer program IVTON for crystal structure analysis. His recent publications demonstrate a continued focus on mineral discovery, particularly fumarolic minerals from volcanic environments, high-pressure mineral physics, and advanced crystallographic analysis techniques. His research shows strong international collaboration across Europe and beyond, with numerous discoveries of new minerals and structural studies under extreme conditions. Honorary Member of the Italian Society of Mineralogy and Petrology Dr. Balic Zunic has supervised 12 Master's and 6 PhD students. He has led numerous research projects including the Nordic Mineralogical Network (2006-2010), Modular crystal structures and ordering of atoms in minerals (2006-2008), and several projects focused on high-pressure crystallography and mineral analysis. His work spans diverse fields including cement and ceramics, crystal chemistry of sulphosalts, silicates and fluorides, environmental protection, planetology, metamorphic petrology, ore mineralogy, paleoclimate, biomineralogy with medical applications, heterogeneous catalysis and archaeology. He leads the X-ray diffraction laboratory at the University of Copenhagen and has organized international research groups including the Nordic Mineralogical Network and research groups on fumaroles and high-pressure crystal structures. His work involves extensive collaboration with research institutions across Europe and worldwide, including universities and research centers in Athens, Bari, Basel, Bayreuth, Belgrade, Bilbao, Bochum, Cairo, Firenze, Genova, Göttingen, Heidelberg, Iceland, Innsbruck, Moscow, Nantes, Oslo, Padova, Perugia, Petropavlovsk-Kamchatsky, Prague, Roma, Salzburg, Stockholm, Taipei, Tokyo, Torino, Wien and Zagreb.
Birgitte Rahbek Kornum is a Professor at the Department of Neuroscience within the Faculty of Health and Medical Sciences at the University of Copenhagen, with additional appointments as Guest Researcher at the Department of Drug Design and Pharmacology. She leads the Kornum Lab, which focuses on sleep-wake neurophysiology with specialized expertise in hypocretin/orexin systems and neuroimmune interactions. Research Focus: Her laboratory investigates how hypocretin neurons interact with the immune system in narcolepsy and general sickness conditions. Research leverages single-cell technologies, animal disease models, and human genetics to examine disease mechanisms underlying sleep disorders and sickness behavior. Core methodologies include electrophysiological monitoring, genetic analysis, and neuroimmunological approaches. Publication Trends: Recent works (2024-2025) demonstrate strong focus on: 1) Neuroimmune mechanisms in narcolepsy pathogenesis, 2) Sleep disruption models in rodents, 3) Pharmacological targets in sleep regulation, and 4) Advanced analytical methods for sleep data. Studies frequently examine developmental stages and sex differences in sleep pathology. Awards: AASM Young Investigator Award (2011) Laboratory & Collaboration: The Kornum Lab maintains extensive international collaborations across neuroscience and sleep research domains. Current work includes exploring hypocretin neuron vulnerability, developing new narcolepsy diagnostic tools, and investigating links between sleep disturbance and neuropsychiatric outcomes.
Constantin Richard Schrade is an External Researcher at the Condensed Matter Physics department of the Niels Bohr Institute, Faculty of Science, University of Copenhagen. His research focuses on quantum transport phenomena in hybrid superconductor-semiconductor systems, with particular emphasis on Josephson junctions, superconducting diodes, and topological aspects of quantum states. Research Focus Dr. Schrade's work explores fundamental questions about Cooper pair transport, nonsinusoidal current-phase relations, and quantum simulation using Andreev bound states. His research bridges theoretical concepts with experimental realizations in semiconductor-superconductor hybrid systems, with potential applications in quantum computing and quantum information processing. His interdisciplinary approach combines elements of condensed matter physics, quantum information science, and nanoelectronics to address challenges in developing robust quantum devices. Recent work has focused on charge-4e supercurrents, parity-conserving transport, and gate-tunable quantum phenomena in novel material systems. Publication Trends Dr. Schrade's publication record shows consistent productivity with high-impact contributions to leading physics journals. His recent papers in Nature Communications, Physical Review journals, and PRX Quantum demonstrate significant influence in the field, with several papers receiving over 40 citations. The collaborative nature of his work is evident from the extensive co-author lists spanning multiple institutions worldwide. Scientific Impact Research on superconducting diodes has implications for developing non-reciprocal quantum devices Work on charge-4e supercurrents explores exotic quantum states beyond conventional Cooper pairing Investigations of nonsinusoidal current-phase relations provide insights into topological aspects of quantum transport Contributions to protected qubit architectures advance quantum computing hardware development Collaborative Network Dr. Schrade maintains an extensive collaborative network with both theoretical and experimental research groups. His work with researchers from institutions across Europe and North America reflects the international character of modern condensed matter physics research. The frequent appearance of his name as a key contributor in multi-author papers indicates an active role in collaborative research projects.
Joachim Tilsted Kristensen serves as an Assistant Lecturer in the Department of Computer Science at the University of Copenhagen, contributing to both teaching and research initiatives within theoretical computer science. His research spans reversible computing, functional programming, formal verification, and computer science education methodologies. He specializes in developing invertible programming languages and visualization tools for formal proof instruction, bridging theoretical concepts with pedagogical applications. Recent publications demonstrate dual emphases: educational tool development for formal methods training and foundational advances in reversible computation, with contributions to major venues like the International Conference on Reversible Computation and EPTCS proceedings.
Josephine Skat-Rørdam serves as a Postdoctoral Research Fellow within the Graduate Programme for In Vivo Pharmacology and Experimental Animals at the Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen. Her research focuses on modeling human metabolic diseases using guinea pig models, with particular emphasis on non-alcoholic fatty liver disease (NAFLD) and its systemic complications. Molecular Biomedicine, University of Copenhagen (PhD Awarded September 1, 2016) Her primary research investigates the pathophysiology of NAFLD progression to steatohepatitis (NASH), examining how dietary components, vitamin deficiencies, and pharmacological interventions influence liver metabolism, cardiovascular complications, and disease regression. Current work explores transcriptomic similarities between guinea pig models and human NAFLD, diagnostic imaging validation, and the interplay between nutritional factors and metabolic dysfunction. Her experimental approach integrates in vivo pharmacology with molecular analysis to identify therapeutic targets. Recent publications reveal consistent focus on guinea pig models as translational tools for NAFLD research, with trends emphasizing dietary modulation of disease progression, antioxidant effects on cardiovascular comorbidities, and validation of preclinical methodologies. Key themes include metabolic imaging, nutrient-gene interactions, and pharmacological interventions targeting inflammation and fibrosis. LIFEPHARM PhD Fellowship Her research is supported through the LIFEPHARM centre collaboration, with extensive external partnerships across European institutions focused on metabolic disease modeling. While specific grant details aren't provided, her high-impact publications (including a 2019 review with 163 Scopus citations) demonstrate significant contribution to the field. Current work continues through the Preclinical Disease Biology group within the Department of Veterinary and Animal Sciences. Dr. Skat-Rørdam operates within the Graduate Programme for In Vivo Pharmacology and Experimental Animals, utilizing specialized guinea pig models to study NAFLD pathogenesis. Her team collaborates extensively with researchers across Scandinavia on metabolic disease mechanisms, maintaining facilities for controlled dietary studies and advanced phenotypic characterization of liver and cardiovascular pathologies.
Mikkel Kragh Mathiesen is a Guest Researcher in the Programming Languages and Theory of Computation group at the Department of Computer Science, Faculty of Science, University of Copenhagen. His research focuses on algebraic foundations of programming languages, reversible computation, and database theory, with significant contributions to finitary relational calculus and algebraic query processing. He completed his Ph.D. in Computer Science at the University of Copenhagen in 2023 with the dissertation "The Programming of Algebra". His academic work bridges theoretical computer science and abstract algebra, emphasizing formal methods and computational semantics. Mathiesen's research interests center on applying algebraic structures to programming language design, particularly in reversible systems (Algeo framework) and database query optimization. His work explores category-theoretic approaches to differentiation in functional programming and module-theoretic foundations for relational calculus, demonstrating strong interdisciplinary connections between mathematics and computation. Analysis of his 2020-2025 publications reveals consistent focus on algebraic methods across theoretical domains. Key trends include developing finitary relational calculus for database programming languages, creating algebraic frameworks for reversible computation, and establishing theoretical connections between module theory and query processing. His research shows increasing integration of category theory with programming language semantics, particularly in automatic differentiation and higher-order function systems. No scientific awards were mentioned in the provided information. There is no available information regarding students advised or research grants administered by Mathiesen. His collaborative work primarily involves co-authorship with established researchers in theoretical computer science without indication of independent supervision or grant leadership. He is actively affiliated with the Programming Languages and Theory of Computation research group at the University of Copenhagen's Department of Computer Science, contributing to their focus on foundational aspects of computation and language design through algebraic approaches.
Louise Saviø Piilgaard is a Guest Researcher in the Neuronal Signalling research group within the Department of Neuroscience at the University of Copenhagen's Faculty of Health and Medical Sciences. Her research is conducted at the Blegdamsvej 3 campus in Copenhagen. Dr. Piilgaard's research focuses on the intersection of sleep medicine, electrophysiology, and neurological disorders, with particular expertise in narcolepsy research. Her work heavily utilizes mouse models to investigate sleep-wake dynamics, EEG patterns, and neurological mechanisms underlying sleep disorders. She has made significant contributions to understanding narcolepsy type 1 through innovative approaches to EEG and EMG data analysis, as well as developing non-invasive monitoring techniques for disease progression. Analysis of her publication record from 2019-2025 reveals a strong focus on narcolepsy research, particularly using mouse models to investigate disease mechanisms. Her work spans multiple approaches including electrophysiological analysis, behavioral monitoring, and pharmacological investigations. A notable trend is her progression from basic receptor pharmacology studies toward more complex disease modeling and machine learning applications for disease prediction. Dr. Piilgaard has established productive collaborations with researchers across multiple institutions, as evidenced by her co-authorship on publications with diverse research teams. Her work has received attention across academic platforms, with multiple publications highlighted on social media and research-sharing sites.
