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Alessandra Meddis serves as an Assistant Professor in the Section of Biostatistics within the Department of Public Health at the University of Copenhagen's Faculty of Health and Medical Sciences. Her academic work centers on developing and applying advanced statistical methodologies for longitudinal and time-to-event data analysis, with significant contributions to public health research in Denmark and internationally. Her institutional affiliation is clearly established through university contact details and departmental listings. Her primary research interests include correlated survival data analysis, competing risk modeling, informative cluster size methodology, causal inference techniques for observational studies, and environmental epidemiology applications. Dr. Meddis has developed specialized expertise in handling complex survival data structures while maintaining focus on real-world public health problems, particularly in HIV comorbidity patterns, environmental exposure effects, and pandemic-related mortality analyses. Her methodological innovations directly address challenges in clustered and censored data common across medical research domains. Analysis of Dr. Meddis's recent publication record reveals a consistent trajectory of high-impact interdisciplinary research spanning clinical medicine, epidemiology, and statistical methodology. Her work appears in leading journals across biostatistics, infectious diseases, and public health, demonstrating strong collaborative networks with clinical researchers and epidemiologists. Key thematic areas include HIV treatment outcomes, environmental health exposures, and critical care applications during the pandemic, with recent methodological papers advancing survival analysis techniques for complex data structures. Scientific Awards: No scientific awards were specified in the available institutional profile. Advising and Grants: The institutional profile does not provide details regarding graduate student supervision or specific research grant funding. Her collaborative publications suggest involvement in multi-investigator projects including the COCOMO HIV cohort study and pandemic-related research initiatives. Labs and Teams: Dr. Meddis is affiliated with the Section of Biostatistics within the Department of Public Health, though specific laboratory facilities or dedicated research teams are not described in the source material. Her extensive co-authorship patterns indicate active participation in multiple research consortia across medical specialties.

• Longitudinal Data Analysis
• Time-to-Event Analysis
• Survival Analysis
• +5 more

Professor John W. Edmunds is a leading academic in Infectious Disease Modelling at the London School of Hygiene and Tropical Medicine (LSHTM). Holding a Professor position since 2013 and serving as Dean of the Faculty of Epidemiology and Population Health (2013-2019), he combines mathematical, statistical, and economic models to inform public health policy. His part-time role at the Health Protection Agency (HPA) since 2008 underscores his policy advisory contributions. PhD in Infectious Disease Modelling (Imperial College, 1994) MSc in Health Economics (University of York, 1995) BSc in Biology (Imperial College, 1989) His research focuses on understanding disease transmission and optimizing control strategies. He has pioneered methods integrating social contact surveys , participatory surveillance (e.g., Influenzanet), and economic analysis to evaluate vaccines and interventions. Recent work includes SARS-CoV-2 dynamics , Ebola spatial forecasting , and typhoid vaccine prioritization . His 15 most recent publications highlight social contact patterns (Reconnect, CoMix studies), vaccine impact (HPV, typhoid), and real-time outbreak analytics (Ebola, cholera). Key trends include digital epidemiology , behavioral surveillance , and cross-country modeling for global health. Knighthood (2024) for services to epidemiology Weldon Memorial Prize (2022) for biostatistics contributions FMedSci (2018) for medical science excellence OBE (2016) for public service As an educator, he teaches "Modelling and the Dynamics of Infectious Diseases" and co-organizes "Pandemics: Emergence, Spread and Response" . Current grants include National Institute for Health and Care Research projects on post-pandemic surveillance and Bill & Melinda Gates Foundation funding for polio eradication. He leads collaborations with the Centre for Mathematical Modelling of Infectious Diseases , Vaccine Centre , and Health in Humanitarian Crises Centre , while advising UK and WHO committees on zoonotic influenza , variants , and testing programs .

• Infectious Disease Modelling
• Epidemiology
• Public Health Policy
• +6 more

Konstantinos Kalogeropoulos is an Assistant Professor at the Department of Biotechnology and Biomedicine, Technical University of Denmark (DTU), leading research at the Cell Diversity Lab. His work bridges proteomics, computational biology, and snake venom research. Current projects: "The Proteomic Landscape during Influenza Infection" (2022-2025) Supervisor for PhD projects on protease network rewiring in psoriasis and wound exudate degradomics Research interests include: Proteomic analysis of inflammatory diseases Snake venom toxin structure prediction Extracellular matrix biomechanics De novo peptide sequencing algorithms Computational modeling of protease networks Recent article trends demonstrate his work in • Database-free proteomics (InstaNovo/InstaNexus) • Snake venom pathophysiology (V-ToCs clustering) • Inflammatory disease biomarkers (psoriasis, impaired healing) • Extracellular matrix mechanics (fibronectin tension, gut inflammation) Advising: Supervises PhD students Polhaus, C. J. M. and Haack, A. M., focusing on protease networks and wound healing.

• Proteomics
• Snake Venom Research
• Protein Structure Prediction
• +3 more

Anja Boisen is a Professor and Head of the Drug Delivery and Sensing Section at the Department of Health Technology, Technical University of Denmark (DTU). Her research focuses on advanced drug delivery systems, sensing technologies, and nanotechnology applications in biomedical engineering. She leads a multidisciplinary team developing innovative devices such as microcontainers, microneedles, and lab-on-a-disc platforms for targeted drug delivery and diagnostics. Her work contributes to UN Sustainable Development Goals, particularly in improving health and reducing inequalities. Key research areas include surface-enhanced Raman spectroscopy (SERS), microfabrication for medical devices, and biomaterials for tissue engineering. She has supervised multiple PhD students, including projects on oral drug delivery systems, gastrointestinal retention devices, and energy-harvesting materials for biomedical applications. Boisen’s team has pioneered technologies like self-unfolding foils for oral delivery and smart drug delivery microparticles. Their innovations aim to enhance therapeutic efficacy while minimizing side effects. She has been recognized with the Sensor Division Outstanding Achievement Award (2022) for her contributions to sensor technology. Her lab actively collaborates internationally, advancing applications in cancer therapy, antibiotic monitoring, and gut microbiota research. Current projects explore high-throughput 3D tumor modeling, SERS-based diagnostics, and biodegradable materials for bone fixation.

• Drug Delivery
• Sensing Technologies
• Nanotechnology
• +3 more

Alex Arenas is a Full Professor in the Department of Computer Engineering and Mathematics at Universitat Rovira i Virgili (URV), Tarragona, Spain. He is also an External Faculty member at the Complexity Science Hub in Vienna and Chief of Complex Systems Science at the Pacific Northwest National Laboratory, USA. His research spans complex systems, network science, computational epidemiology, and multilayer dynamics, with applications in public health, neuroscience, and social systems. Research Interests: His work focuses on the physics of multilayer networked systems, particularly the interplay between structure and function in complex networks. Key areas include synchronization, epidemic modeling, network medicine, the physics of the microbiome, and higher-order interactions in spreading processes. He investigates dynamic transitions using functional multilayer frameworks and develops models for real-world systems like urban mobility and misinformation diffusion. The recent articles highlight a strong trend in computational epidemiology, especially post-COVID modeling of vaccination strategies, rebound dynamics, and wastewater surveillance. There is also significant work on synchronization in oscillator networks, chimera states, and higher-order network effects, reflecting a deep engagement with nonlinear dynamics and theoretical network science. Applications span medicine, urban planning, and social systems. Scientific Awards: Fellow, American Physical Society (2018) Fellow, Network Science Society (2020) ICREA Academia (2011, 2017, 2022) Narcís Monturiol Medal (2022) Web Science Trust Test of Time Award (2024) Complex Systems Society Senior Award (2024) Advising and Grants: Arenas has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed. He has been Principal Investigator on 47 research projects, including EU FP7 projects, a James S. McDonnell Foundation grant, and Horizon Europe's CREXDATA project. He has served as an editor for Physical Review E , Journal of Complex Networks , and Network Neuroscience , and has reviewed for major funding agencies including ERC, MINECO, and international bodies. Labs and Teams: He leads the Alephsys Lab at URV, which develops tools like Radatools for network analysis and community detection. His team focuses on interdisciplinary modeling of real-world complex systems using data-driven and theoretical approaches.

• Complex Systems
• Network Science
• Multilayer Networks
• +12 more

Søren Lundbye-Christensen is an Associate Professor and Biostatistician affiliated with the Clinical Institute at the Faculty of Health Sciences, Aalborg University, and Aalborg University Hospital in Denmark. He specializes in biostatistical support for medical research, with a strong emphasis on cardiovascular and epidemiological studies. His research interests include biostatistics, survival analysis, cohort studies, clinical epidemiology, and statistical modeling in public health. He has contributed to a wide array of healthcare research, particularly in cardiovascular diseases, cancer, maternal health, and infectious diseases. His methodological expertise spans time-to-event analysis, registry-based research, and interval-censored data modeling. The recent publications highlight a strong trend in applying advanced statistical methods to large-scale clinical and population-based datasets. His work often involves collaboration with medical researchers to derive prognostic models, validate clinical databases, and assess public health outcomes. Key themes include cardiovascular risk, fertility, cancer biomarkers, and implementation of medical training programs. Scientific Contributions and Recognition: Published over 320 research articles and datasets. Active contributor to methodological advancements in biostatistics. Regular peer reviewer, including for journals like the R Journal. Public engagement through media appearances on statistics and health. Academic Advising and Grants: Søren has supervised 31 student theses, formally serving as PhD supervisor for 14 theses and as a biostatistical advisor for 19 others, primarily in mathematics and statistics. He has participated in numerous research projects funded through institutional and national grants, including studies on seasonal disease trends, postoperative complications, and metabolic disease prediction. His work often involves interdisciplinary collaboration across medicine, public health, and data science. Labs and Research Teams: He is embedded in collaborative research networks at Aalborg University Hospital and Aalborg University, contributing statistical expertise to clinical research groups. He is involved in projects utilizing Danish national health registries and has contributed to the development and validation of clinical databases. His work supports both hypothesis-driven medical research and methodological innovation in biostatistics.

• Biostatistics
• Medical Statistics
• Cardiovascular Research
• +7 more

Hans H. Wandall is Professor and Deputy Head of Department at the University of Copenhagen's Department of Cellular and Molecular Medicine, Faculty of Health Sciences. He serves as Group Leader and Vice-Director of the Copenhagen Center for Glycomics. His educational background includes a PhD in Glycobiology (2004), medical licensure (2001), and MD from University of Copenhagen (1999). Research focuses on glycobiology using gene editing and tissue models to understand glycan functions in: Tissue development and cancer biology Host-virus interactions (HSV-1, Ebola) Stem cell regulation and regenerative medicine Glycan-based therapeutic development Recent publications demonstrate interdisciplinary approaches combining glycoproteomics, virology, and cancer biology, with emphasis on O-glycosylation mechanisms and viral pathogenesis. Awards & Recognition: ERC Consolidator Grant (2017) Lundbeck Foundation Ascending Investigator (2019) Sapere Aude Research Leader Award (2012) Young Scientist Award (2003) Leads multiple funded projects from Lundbeck Foundation, Novo Nordisk Foundation, and Danish National Research Foundation. Supervises doctoral candidates and postdoctoral researchers while directing the GlycoMedicine research group. Founded biotech ventures including GO-Therapeutics and Hemab ApS.

• Glycobiology
• Tissue Homeostasis
• Cancer Biology
• +5 more

Stefano Merler is a Research Fellow at the Fondazione Bruno Kessler in Trento, Italy. He leads the Dynamical Systems research unit, focusing on the mathematical modelling of infectious diseases transmission, particularly analyzing the effects of population heterogeneity on disease spread and control.

• Epidemiology
• Infectious Diseases
• Mathematical Modelling
• +4 more

Beate Conrady is an Associate Professor in Infectious Disease Epidemiology and Animal Health Economics at the Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, where she joined in April 2021. She has been affiliated with the Centre for Sustainable Health (CSH) since May 2020. Previously, she led the working group on Epidemiology and Animal Health Economics at the University of Veterinary Medicine in Vienna for eight years. Her research focuses on the development and application of mathematical and economic models to assess prevention and intervention strategies for infectious diseases in veterinary and public health contexts. Key areas include zoonoses, cattle disease control, biosecurity, and One Health. She has extensive experience in international consultancy, including with EFSA, the Austrian Government, and European scientific networks. Beate's recent publications (2020–2024) demonstrate a strong emphasis on disease transmission modeling, surveillance systems, and economic evaluation of health interventions. Her work spans Salmonella, foot-and-mouth disease, Cryptosporidium, and vector-borne diseases, often employing advanced modeling techniques and large-scale data analysis. She has received more than 11 scientific awards for her contributions to infectious disease epidemiology and animal health economics. Consultant for European Food Safety Authority (EFSA) Member of international scientific committees (Med-Vet-Net, DISCONTOOLS) Principal investigator and consortium leader with over 7.5 million EUR in research funding, including more than 1 million EUR in third-party funds She is actively involved in editorial and peer-review activities for leading journals and contributes to policy development in animal health and zoonotic disease control.

• Infectious Disease Epidemiology
• Animal Health Economics
• Veterinary Public Health
• +7 more

Morten Nielsen is a Professor at the Department of Health Technology, Technical University of Denmark, specializing in Bioinformatics with a focus on Immunoinformatics and Machine Learning . His research develops pattern recognition algorithms for immune system characterization and protein structure analysis, contributing to vaccine design against infectious diseases like HIV and tuberculosis. Professor since 2008 Director of Algorithm in Bioinformatics course (27623) Active in 8 current and 27 completed research projects Research spans epitope prediction , T-cell receptor modeling , and genomic variation analysis of pathogens. Recent work (2024) includes cancer neo-epitope immunogenicity studies, B-cell epitope prediction tools (DiscoTope-3.0), and TCR specificity modeling using machine learning. Current projects involve deep immune receptor modeling , personalized neoantigen screening , and autoimmunity pattern identification , with students including L. Machado, B. Scapolo, S. N. Deleuran, G. Nos, and A. B. Saksager.

• Immunoinformatics
• Bioinformatics
• Machine Learning
• +6 more

Fatima AlZahra'a Alatraktchi is an Associate Professor at Roskilde University's Department of Science and Environment. Her research focuses on biomarker detection, electrochemical analysis, and biomedical sensor development, with applications in prostate cancer diagnostics, pregnancy hormone monitoring, and microbial pathogen detection. She is affiliated with the Molecular and Medical Biology Centre for Mathematical Modeling – Human Health and Disease. Key research interests include nanotechnology-driven biosensors, urinary biomarkers for disease staging, and the development of point-of-care diagnostic tools. She has pioneered rapid electrochemical methods for detecting pathogens like Pseudomonas aeruginosa and has contributed to improving early-stage cancer detection through amino acid profiling. Alatraktchi leads the project Investigating the role of neurotransmitters in pancreatic development and islet cell function (2024–2027), combining 4D bioimaging with neurotransmitter sensing. Her work has been featured in 53 media outlets, addressing topics like gender representation in STEM and school-based health testing solutions. Notable awards include the 2019 Forbes 30 Under 30, 2017 Lundbeck Foundation Talent Prize, and 2019 PhD of the Year Award. Her research has produced 36 peer-reviewed publications and one patent, emphasizing translational applications in healthcare technology.

• Biomarkers
• Electrochemical Analysis
• Prostate Cancer Diagnostics
• +5 more

Christian Kühn is a Professor of Multiscale and Stochastic Dynamics at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. He has been an External Faculty member at the Complexity Science Hub Vienna since 2017, reflecting his interdisciplinary engagement in complex systems research. His academic background includes a BSc in Mathematics from Jacobs University Bremen (2005), an M.A.St. from the University of Cambridge (2006), and a PhD in Applied Mathematics from Cornell University (2010). He held postdoctoral positions at the Max Planck Institute for the Physics of Complex Systems in Dresden and the Vienna University of Technology, where he also served as an APART-Fellow and Leibniz Fellow. Christian Kühn's research lies at the intersection of differential equations, dynamical systems, and mathematical modeling. He focuses on multiscale problems, the impact of noise and uncertainty in deterministic and stochastic systems, and adaptive networks. Central phenomena of interest include bifurcations, pattern formation, and scaling laws. His work bridges theoretical developments with applications in epidemiology, neuroscience, and complex network dynamics. His recent publications (2021–2024) reflect a strong trend in analyzing nonlinear and stochastic dynamics on networks, with applications ranging from epidemic modeling to synchronization and critical transitions. Key themes include explosive phenomena, adaptive network behavior, moment closure methods, and non-Markovian systems, demonstrating a consistent focus on foundational aspects of dynamical systems with practical relevance. Notable scientific awards include: Richard-von-Mises Prize, GAMM (2017) Lichtenberg Professorship, VolkswagenStiftung (2016) Best Paper Award, TU Vienna (2014) Leibniz Fellow, Oberwolfach (2013) APART-Fellow, Austrian Academy of Sciences (2012) While specific details about advised students are not provided, his role as a full professor and active researcher suggests involvement in mentoring graduate students and postdoctoral researchers. His work has been supported by prestigious grants such as the Lichtenberg Professorship. He leads research in multiscale and stochastic dynamics, contributing to both theoretical advances and interdisciplinary applications. Kühn is part of vibrant research environments at TUM and the Complexity Science Hub Vienna, collaborating with leading scientists in network science, applied mathematics, and complex systems. His work continues to advance the understanding of critical transitions and nonlinear behavior in high-dimensional and stochastic systems.

• Dynamical Systems
• Differential Equations
• Stochastic Dynamics
• +5 more

Jens Grønlund serves as Chief Physician (Cheflæge) at Aalborg University Hospital, holding academic affiliation with The Faculty of Medicine and The Department of Cardiovascular Surgery at Aalborg University. His clinical and academic career spans over a decade with documented publications from 2009-2020 and significant media engagement in 2024 regarding innovative cardiac surgical techniques. His research expertise encompasses: Cardiac tumor diagnosis and management Cardiac magnetic resonance imaging applications Coronary artery bypass graft procedures Prosthetic valve endocarditis, particularly fungal infections Aspergillus-related cardiac complications Robotic-assisted cardiac surgery innovations Dr. Grønlund's publication record demonstrates consistent scholarly contribution to cardiovascular surgery, with particular focus on diagnostic precision to avoid unnecessary procedures. His 2015 paper on Aspergillus-related prosthetic valve endocarditis has garnered significant attention with 7 Scopus citations. Recent research has examined advanced imaging techniques for cardiac mass evaluation and decision-making protocols for cardiac tumor management. He has been prominently featured in Danish media throughout 2024 regarding robotic heart surgery techniques that eliminate the need for sternotomy (breastbone cutting), with coverage spanning multiple outlets including the landmark case of Denmark's first robot-assisted heart surgery. His work bridges clinical practice with academic inquiry, contributing to evidence-based approaches in cardiovascular surgical care.

• Cardiovascular Surgery
• Heart Surgery
• Cardiac Tumors
• +5 more

Henrik Boye Jensen is a Clinical Associate Professor at the Department of Regional Health Research, IRS - Sygehus Lillebælt, Forskningsenhed for Neurologi (Kolding), affiliated with the University of Southern Denmark. His work bridges clinical neurology and research, with a strong focus on multiple sclerosis, stroke, and neurorehabilitation. Institution: University of Southern Denmark Department: Department of Regional Health Research Research Unit: Research Unit for Neurology, Kolding Academic Rank: Clinical Associate Professor His research interests center on multiple sclerosis , particularly disease progression, pharmacological treatments, and the role of exercise in neuroprotection. He also investigates stroke rehabilitation and diagnostic challenges in neurological conditions such as Lyme neuroborreliosis. His work frequently employs advanced methodologies including randomized controlled trials , cohort studies , and neuroimaging (MRI) . The 15 most recent articles reflect a strong trend in clinical neuroscience , with emphasis on MS phenotypes , pharmacological interventions , exercise as therapy , and diagnostic accuracy . His publications span high-impact journals in neurology and rehabilitation, demonstrating consistent scholarly output. Scientific Awards: No specific awards listed in the provided text. Henrik Boye Jensen has been actively involved in advising and research projects. He has contributed to at least three supervised works, including a Ph.D. thesis, and is a working partner in the RoboRehab project on stroke rehabilitation. He has participated in multiple collaborative research initiatives and has delivered presentations in both academic and public settings. He is also involved in public discourse through media contributions on neurological health issues. Labs and Teams: He is associated with the Research Unit for Neurology in Kolding and collaborates extensively within the Region of Southern Denmark and with national and international research groups, particularly in MS and stroke research.

• Multiple Sclerosis
• Neurology
• Neuropathic Pain
• +7 more

Lennart Jan Friis-Hansen is a visiting researcher affiliated with the Department of Clinical Research at the University of Southern Denmark (SDU) and the Research Unit of Clinical Biochemistry at Odense University Hospital (OUH) . His work spans clinical biochemistry, infectious diseases, and endocrinology, with a focus on biomarker analysis, diagnostic testing, and physiological responses to diseases. Active in Department of Clinical Research at SDU and OUH Research interests include COVID-19 pathogenesis , steroid hormone dynamics , bone density in athletes , and Vitamin K in respiratory disease Recent publications highlight his contributions to ACE2/TMPRSS2 receptor studies in kidney tissue , diagnostic accuracy of PCR assays , and hormonal impacts on athlete health . His work also addresses vitamin deficiencies in chronic disease and cortisol immunoassay standardization . Press contributions in 2024–2025 emphasize gaps in post-vaccine injury treatment and adverse effects of effective therapies . Affiliated with research units at SDU and OUH, he collaborates on interdisciplinary studies in clinical biochemistry and physiology.

• Clinical Biochemistry
• Infectious Diseases
• Physiology
• +4 more