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.
Jan Baumbach is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he leads cutting-edge research at the intersection of computer science, bioinformatics, and biomedical data science. His work integrates machine learning, network biology, and systems medicine to address complex challenges in health and disease. His research interests include Bioinformatics , Machine Learning , Gene Regulatory Networks , Drug Repositioning , Biomedical AI , and Computational Biology . He applies advanced computational methods to analyze large-scale biological data, with applications in cancer, metabolic diseases, dermatology, and infectious diseases. The 15 most recent publications highlight a strong trend toward biomedical artificial intelligence , network-based analysis , and translational bioinformatics . His work spans from foundational machine learning in healthcare to clinical applications in osteoarthritis, bone regeneration, and skin biology. A consistent theme is the integration of multi-omics data and the development of privacy-preserving federated learning frameworks for distributed healthcare systems. Jan Baumbach has been principal investigator on several major research projects, including: EU Horizon2020: Privacy-preserving federated machine learning in distributed healthcare Danish National Research Foundation: ATLAS Center for Functional Genomics of Tissue Plasticity Villum Foundation: Big Data Bioinformatics (Young Investigator Programme) Carlsberg Foundation: Computational profiling of bacterial volatile metabolomes (ProVol) He has supervised 13 PhD students and has an extensive publication record of 262 works. His research has been featured in high-profile media outlets, emphasizing the societal impact of drug repositioning and AI in medicine. He leads a research group focused on computational systems biology , with strong collaborations across Europe in the fields of genomics, metabolomics, and clinical data science.
Alberto Santos Delgado is the Director of the Informatics Platform at the Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark. His work focuses on data engineering, multi-omics analytics, and microbial biotechnology, with applications to sustainable development goals. Projects: Supervising PhD research on protein sequencing with deep learning, microbial community analysis via single-cell sequencing, graph-based precision fermentation optimization, and knowledge graph applications for microbiome identification. Research Themes: Biotransformation of pollutants, metabolic modeling, microbial genomics, and computational systems biology. Collaborations: Engaged in interdisciplinary projects under DTU Microbes Initiative and with supervisors like Bernhard Palsson. Recent publications highlight his contributions to microbial pangenome knowledgebases and metabolic engineering for environmental remediation. No scientific awards are explicitly mentioned in the available data.
Bekzod Khakimov is an Associate Professor in the Department of Food Science at the University of Copenhagen, specializing in Food Analytics and Biotechnology. He has held this position since 2017, following his postdoctoral work (2013-2017) and PhD fellowship (2010-2013) at the same institution. His research group focuses on advanced analytical techniques for food quality assessment and nutritional value determination. His educational background includes: PhD in Plant Metabolomics, Department of Food Science, University of Copenhagen (2013) MSc in Chemical Research, Queen Mary, University of London, UK (2009) BSc in Chemistry, Faculty of Chemistry, National University of Uzbekistan (2006) Dr. Khakimov's research centers on food molecular composition (foodomics) and its health impacts through untargeted molecular screening of bio-fluids (metabolomics). His team works on optimizing standard operating procedures, developing efficient algorithms for processing raw instrumental data, and extracting information from complex omics data using multivariate data analysis (chemometrics). His analytical expertise spans high resolution liquid state NMR spectroscopy, GC-Tof-MS and LC-QTof-MS techniques, with applications ranging from plant foods to dairy products and human health studies. His publication record demonstrates consistent advancement in foodomics methodology and applications, with recent work focusing on metabolomics approaches to understand food quality, nutritional value, and health impacts across diverse food matrices including grapes, potatoes, dairy products, and botanical resources. His research increasingly incorporates advanced statistical modeling and deep learning approaches to overcome analytical challenges like the 'cage of covariance' in metabolomics data. His notable scientific achievements include: Nils Foss Talent Prize (2016) - International Award for ground-breaking science in advanced technologies for improved food quality and safety Best Young Investigator Award in Plant Metabolomics (2015) - 10th International Conference of the Metabolomics Society Dr. Khakimov currently serves as main supervisor for three postdocs, one PhD student, and two MSc students. He has successfully secured multiple competitive research grants as PI or Co-PI from sources including the Independent Research Fund Denmark, UCPH Funding, Danish Dairy Research Foundation, and the European Union. His laboratory maintains state-of-the-art analytical capabilities with responsibility for multiple GC-MS systems, LC-QTof-MS, and co-responsibility for NMR spectrometers. His research infrastructure includes four high-throughput GC-MS systems (Agilent GC-singleQ-MS, LECO Pegasus HT GC-TOF-MS and Bruker EVOQ QQQ systems), one LC-QTof-MS (Bruker Impact II), one LC-UV/Vis-FC system (Thermo Ultimate 3000), and co-responsibility for three NMR spectrometers (600, 500, and 400 MHz) from Bruker.
Martin Hansen is an Associate Professor at the Department of Environmental and Resource Engineering , Technical University of Denmark (DTU). His research focuses on environmental contamination, metabolomics, and Greenland Ice Sheet biological darkening. He leads projects like PestNet and PharmaRisk , and supervises PhD students in non-target chemical analysis. Key Research Areas: Metabolomics, Mass Spectrometry, Ice Sheet Biogeochemistry, Environmental Risk Assessment Current Projects: Computational non-target chemical analysis, Drinking water quality monitoring, Pesticide risk evaluation His 2025 articles emphasize non-target chemical screening , Greenland Ice Sheet microbial ecology , and molecular networking . He collaborates with researchers across Europe and contributes to SDGs like Clean Water (6) and Climate Action (13).
Stefano Donati is a Senior Researcher and CO-PI at the Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark (DTU), where he contributes to the DTU Microbes Initiative and C1 Systems Biology Autoflow program. His work focuses on systems biology approaches to metabolic engineering, particularly in one-carbon (C1) metabolism and microbial cell factory optimization. Research interests Systems biology of C1 metabolism Synthetic biology for metabolic sensor development Multi-omics data integration Automation in microbial cultivation Escherichia coli and Pseudomonas putida systems analysis Donati supervises two PhD students and leads projects related to optimizing microbial cell factories for C1 conversion. He developed the QurvE software for growth data analysis and presented his work on automated multi-omics screening at international conferences. Current projects Strategies and tools for optimizing C1 cell factories (2023-2026) Understanding C1 assimilation via LC-MS metabolomics (2023-2026) Based in Lyngby, Denmark, Donati's research supports UN Sustainable Development Goals through biotechnology innovations that address resource efficiency and environmental sustainability.
Jonas Damgaard Elsborg is a postdoctoral researcher at the Novo Nordisk Foundation Center for Protein Research (CPR) within the University of Copenhagen, working in the Nielsen Group. His research focuses on advanced proteomics techniques to study post-translational modifications, particularly ADP-ribosylation and citrullination, using mass spectrometry approaches. His research interests center on protein modifications and their biological implications. Elsborg specializes in mapping ADP-ribosylation sites and understanding the regulatory networks involving PARP enzymes. His work combines biochemical techniques with advanced mass spectrometry to characterize protein modifications at site-specific resolution. Recent research has expanded into citrullinome analysis and multi-omics approaches to cell culture systems. Analysis of his publication record reveals a strong focus on protein post-translational modifications, particularly ADP-ribosylation networks and their roles in DNA damage response, immune signaling, and epigenetic regulation. His work consistently employs cutting-edge mass spectrometry techniques to achieve site-specific resolution of protein modifications. The research spans basic enzymology of modifying enzymes like PARPs and PADI4 to applications in cell biology and disease mechanisms. Elsborg works within the Nielsen Group at the Novo Nordisk Foundation Center for Protein Research, which is a leading institution for proteomics research. His collaborative network includes researchers across multiple departments at the University of Copenhagen and international collaborators, as evidenced by his co-authorship on publications in high-impact journals.
Karen Guldbrandsen serves as a PhD Fellow and Senior registrar at Aalborg University Hospital, where she is embedded within the Department of Gynaecology and Obstetrics under Aalborg University's Faculty of Medicine. Her dual clinical-research role positions her at the critical interface between patient care and translational oncology research, specifically targeting gynaecological malignancies through advanced molecular methodologies. Her academic foundation comprises a Master of Science in Medicine from Aarhus University (awarded January 5, 2015) followed by specialist certification as a Senior registrar in Obstetrics and Gynaecology from Aalborg University Hospital (awarded April 1, 2022). These qualifications enable her integrated approach to women's health challenges. Dr. Guldbrandsen's research program intensely focuses on ovarian cancer biomarker discovery using metabolomics and multi-omics platforms. Key thrusts include cell-free DNA methylation profiling for early detection and NMR spectroscopy applications for tumor characterization. Concurrently, she investigates functional outcomes in pelvic floor surgery, examining constipation, incontinence, and patient-defined recovery goals through clinically grounded studies. Her publication trajectory reveals strategic evolution from foundational clinical work (e.g., tubo-ovarian abscess management, surgical training technology) toward sophisticated molecular oncology. Recent outputs demonstrate increasing sophistication in omics methodologies, with 2024-2025 works establishing cfDNA methylation and NMR as viable diagnostic pathways for gynaecological cancers. Scientific Awards and Grants: Principal Investigator for the externally funded PhD project "NMR spectroscopy and gynaecological cancers - Exploring an emerging method for early diagnosis and prognosis of endometrial and ovarian cancer" (March 1, 2024 - February 28, 2027). Advising and Research Support: As a doctoral candidate, Dr. Guldbrandsen operates under supervision from Prof. Ulla S. Kesmodel (Obstetrics/Gynaecology), Prof. Inge S. Pedersen (Molecular Medicine), Dr. Han T. T. Nguyen, and Dr. Susanne Lunde. Her primary research capacity derives from her competitively secured PhD project grant, which funds her dual clinical-research appointment. Collaborative Infrastructure: She actively contributes to the Clinical Cancer Research Center at Aalborg University Hospital and the interdisciplinary Young Omics Cafe network, facilitating cross-departmental biomarker validation studies. These affiliations provide essential frameworks for translating molecular discoveries into clinical practice for gynaecological cancer patients.
Tugce Karaderi is an Associate Professor in the Department of Public Health at the University of Copenhagen, specifically affiliated with the Section for Health Data Science and AI. She maintains an active research profile with significant contributions to genetic epidemiology and translational data science. University of Copenhagen, Faculty of Health and Medical Sciences Department of Public Health, Section for Health Data Science and AI ORCID: 0000-0001-9763-8139 Dr. Karaderi's educational background includes a DPhil in Human Genetics from the University of Oxford (focusing on the genetics of Ankylosing Spondylitis), an MSc in Environmental Health from the Cyprus Institute for the Environment and Public Health in association with Harvard School of Public Health, and a BSc in Biology from the University of Missouri at Kansas City. Her research spans multiple areas of genomic medicine, with particular emphasis on polygenic risk prediction, multi-omics integration for complex diseases, and AI applications in personalized medicine. She has made significant contributions to understanding the genetic architecture of obesity, polycystic ovary syndrome, and thyroid disorders through large-scale international collaborations. Her work often involves multi-ancestry analyses to ensure broader applicability of findings across diverse populations. Analysis of her recent publications reveals a consistent focus on translating genomic discoveries into clinical applications, with particular attention to sex-specific differences in disease presentation and response. Her research methodology integrates statistical genetics with machine learning approaches to extract meaningful insights from complex biological datasets. Dr. Karaderi has contributed to numerous high-impact publications in journals including Nature, Nature Medicine, Nature Communications, and Diabetes, often as part of major international consortia. Her work has been widely disseminated through social media and picked up by multiple news outlets, demonstrating its relevance to both scientific and public audiences. Her research program demonstrates strong collaborative networks across multiple institutions and countries, reflecting the increasingly international nature of genomic research. She appears to be actively involved in both basic science investigations and translational applications of genomic discoveries to improve patient care.
Dhouha Grissa serves as an Assistant Professor in the Department of Veterinary and Animal Sciences at the University of Copenhagen, Denmark, specializing in Preclinical Disease Biology. Her research applies advanced data mining and knowledge extraction techniques to biomedical challenges, with primary focus on early detection of alcoholic liver fibrosis through analysis of medical records and metabolomic data. Education: PhD in Computer Science, University of Clermont-Auvergne, France (awarded November 2, 2013) Research Interests: Dr. Grissa's work integrates bioinformatics, machine learning, and computational biology to develop knowledge discovery frameworks for metabolomic and clinical data. She specializes in identifying predictive biomarkers for disease progression, particularly in alcoholic liver disease, through hybrid analytical approaches combining text mining, process mining, and multi-omics integration. Publication Trends: Her recent publications (2020-2022) reveal a consistent trajectory in applying data integration and knowledge extraction to biomedical databases and clinical registries. Key themes include disease-gene association mapping, GWAS analytics for drug target illumination, and exploratory metabolomic analysis—all converging on improving disease prediction models and understanding pathophysiological mechanisms. Advising and Grants: No specific information regarding student advising or grant funding was provided in the source material. Labs and Teams: Dr. Grissa is embedded within the Novo Nordisk Foundation Center for Protein Research and actively contributes to the EU-funded Galaxy project, which develops integrated systems models for multi-omics and clinical data analysis using resources like the Danish National Patient Registry.
Catalina Cuparencu serves as Assistant Professor at the Department of Nutrition, Exercise and Sports (NEXS) at the University of Copenhagen, specializing in biomarker development for dietary assessment through metabolomics and human intervention studies. She co-founded and chairs The Power of Food initiative and represents NEXS on the Study Board for Food, Nutrition and Physical Activity educations while serving on CLIME.DK's board for clinical metabolomics outreach. Her academic credentials include: MSc in Human Nutrition from University of Copenhagen (2013) BSc in Pharmacy from University of Medicine and Pharmacy, Bucharest (2008) Research focuses on precision nutrition through dietary biomarker discovery, validation, and implementation with particular expertise in diet-microbiome interactions and multi-omics integration. Her work bridges analytical chemistry, nutritional epidemiology, and clinical applications to transform dietary assessment methodologies. Recent publications reveal concentrated efforts in validating biomarkers for specific foods (fermented dairy, red meat, berries), developing non-invasive sampling techniques (stool, urine), and establishing standardized reporting frameworks for metabolome-based dietary studies. Her 2024-2025 work in Nature Metabolism demonstrates leadership in advancing precision nutrition through metabolomics. She actively supervises graduate students across nutrition and metabolomics disciplines while leading significant research initiatives including Shift2Health (EU Horizon obesity prevention project as Danish co-PI) and HotFacets (Danish alcohol intervention trial). Past leadership roles include metabolomics coordination in the EU PREVIEW diabetes prevention project and FOODBALL biomarker validation consortium. As co-founder of The Power of Food network, she drives interdisciplinary collaboration across University of Copenhagen's food and nutrition research ecosystem, connecting academic expertise with industry and societal challenges in sustainable nutrition.
