جستجوی استاد راهنمای دانشگاهی

• Cancer Genomics
• Genome Instability
• DNA Repair
• +۷ مورد دیگر

Fran Supek is a Professor at the University of Copenhagen's Faculty of Health and Medical Sciences, where he leads the Genome Data Science laboratory at the Biotech Research & Innovation Centre (BRIC). He also maintains a research group at the IRB Barcelona. Supek is the Principal Investigator of ERC Starting and ERC Consolidator projects, an EMBO Young Investigator, and holds an ICREA tenured professor position (currently on leave). Dr. Supek obtained his PhD in Molecular Biology in 2010 from the University of Zagreb, followed by postdoctoral training at the Centre for Genomic Regulation (CRG) as a Marie Curie fellow. He established his independent laboratory at IRB Barcelona in 2017 as a "Ramón y Cajal" tenure-track fellow, and expanded to BRIC in 2024. His research focuses on statistical genomics and machine learning approaches to study genome stability mechanisms, particularly through analysis of mutation patterns in cancer. The Genome Data Science lab performs large-scale bioinformatic studies of multi-omic data from human tumors, populations, and metagenomes. Key research areas include DNA repair mechanisms, mRNA synthesis and turnover pathways, genetic interactions in cancer genomes, and machine learning approaches for inferring gene function from genomic data. Analysis of Supek's recent publications reveals a strong emphasis on cancer genomics, with particular focus on mutational signatures, DNA repair deficiencies, and the application of artificial intelligence to genomic data analysis. His work spans from fundamental mechanisms of genome instability to translational applications in cancer diagnosis and treatment. ERC Starting Grant recipient ERC Consolidator Grant recipient EMBO Young Investigator ICREA tenured professor (on leave) As Principal Investigator of multiple ERC projects, Supek leads a research program with significant funding for innovative genomic research. His laboratory at BRIC and IRB Barcelona conducts interdisciplinary research combining computational approaches with experimental validation to address fundamental questions in genome biology and cancer evolution. The Genome Data Science lab maintains active collaborations across multiple institutions, with research spanning statistical genomics, machine learning applications in bioinformatics, and experimental validation of computational predictions in cancer biology.

• Reconfigurable Computing
• High-Performance Computing
• Field-Programmable Gate Arrays (FPGAs)
• +۳ مورد دیگر

Carl-Johannes Johnsen is a Ph.D. student and Guest Researcher in the Department of Computer Science at the University of Copenhagen, specializing in reconfigurable computing and machine learning acceleration for X-ray food inspection systems. His research integrates FPGA-based hardware acceleration with compiler design for high-performance computing, focusing on programming models for Field-Programmable Gate Arrays and optimization of machine learning pipelines. Additional interests include concurrent and distributed programming education methodologies that prioritize conceptual understanding over formal proofs. Publication analysis (2019-2022) reveals consistent contributions to FPGA acceleration of scientific workloads (molecular dynamics), novel compiler vectorization techniques, and minimalist hardware implementations. His work bridges computer architecture, parallel computing, and practical applications in food safety inspection through cross-disciplinary collaboration. No scientific awards were documented in the source material. As an active doctoral candidate, Johnsen has no advisory responsibilities. Research grant details were not specified in the provided information. He operates within the Programming Languages and Theory of Computation research environment at the Department of Computer Science, engaging in international collaborations focused on hardware-software co-design as indicated by network analysis metrics.

• Structural Mass Spectrometry
• Protein Conformational Dynamics
• Hydrogen-Deuterium Exchange Mass Spectrometry
• +۵ مورد دیگر

Esben Trabjerg serves as an Assistant Professor in the Protein Analysis Group within the Department of Pharmacy at the University of Copenhagen's Faculty of Health and Medical Sciences. His research focuses on developing structural mass spectrometry methods to investigate protein conformational dynamics, particularly hydrogen-deuterium exchange mass spectrometry (HDX-MS) and cross-linking mass spectrometry (XL-MS). His primary research areas include protein higher-order structure analysis by LC-MS/MS, protein-protein interaction site identification, epitope mapping of antibodies, and therapeutic protein processing. Trabjerg's biological focus centers on the interaction between peptide-antigen loaded major histocompatibility complex (pMHC) and T-cell receptors (TCR), which is critical for immune system function. His publication record shows consistent output in high-impact journals spanning structural biology, immunology, and analytical chemistry, with emphasis on method development and biological applications. Notable collaborations include work with Rand K.D., Andersen J.T., and Leitner A. across multiple publications. His research demonstrates strong integration of experimental mass spectrometry with biological problem-solving, particularly in immune system protein interactions and biopharmaceutical analysis.

• Molecular Biology
• Structural Biology
• Protein Dynamics
• +۴ مورد دیگر

Frederik Friis Theisen is a Postdoctoral Researcher in the Department of Biology at the University of Copenhagen, specializing in Biomolecular Sciences within the Faculty of Science. He conducts research at Ole Maaløes Vej 5, Copenhagen, focusing on the molecular mechanisms of protein function and regulation. Dr. Theisen completed his PhD in 2022 with a dissertation titled "The Behaviour of Short Linear Motifs in the DREB2A Transcription Factor and the Effect of Molecular Context" through the Department of Biology, Faculty of Science, University of Copenhagen. His research program centers on intrinsically disordered proteins, transcription factors, and stress response pathways in plants, with particular emphasis on how conformational dynamics—especially proline isomerization—regulates protein interactions and transcriptional activity. Dr. Theisen employs biophysical, biochemical, and computational approaches to investigate molecular recognition processes at the atomic level, revealing fundamental mechanisms of cellular adaptation to environmental stresses. Analysis of Dr. Theisen's publication record shows a cohesive research trajectory exploring protein dynamics across multiple biological contexts. His work bridges molecular biology, structural biology, and plant science, with recent publications in high-impact journals including Nature, Nature Communications, and Journal of the American Chemical Society demonstrating the significance of his contributions to understanding protein conformational changes and their biological implications. Dr. Theisen maintains an active collaborative network with researchers including Birthe B. Kragelund, Karen Skriver, and Anders D. Due at the University of Copenhagen. His research has garnered significant attention in the scientific community, with multiple papers widely shared on academic social media platforms and receiving substantial readership on research networking sites like Mendeley. His 2024 Nature paper on stereochemistry in protein interactions represents a particularly influential contribution that has been referenced by over 100 Bluesky users and read by numerous researchers worldwide.

• Biophysics
• Cell Mechanics
• Optical Tweezers
• +۴ مورد دیگر

Younes Farhangibarooji is an Academic Staff member at the Biocomplexity section of the Niels Bohr Institute, University of Copenhagen. His research focuses on the intersection of biophysics, cell mechanics, and optical manipulation techniques, with significant contributions to understanding cellular structures and developing biomedical applications. His research interests span multiple cutting-edge areas in biophysics. Primary focus areas include: Actin cytoskeleton dynamics and cellular mechanics Optical tweezers technology and applications Viscoelastic properties of biological materials Nanoparticle delivery systems for cancer therapy Organoid development and morphogenesis mechanics His work combines experimental biophysics with computational analysis to unravel fundamental cellular processes. His publication record shows significant collaborative work, particularly with the research group of Professor Lene B. Oddershede. Notable contributions include the comprehensive Roadmap for optical tweezers published in Journal of Physics-Photonics (2023) and groundbreaking research on filopodia mechanics published in Nature Communications (2022). His work has garnered substantial attention, with multiple publications covered by news outlets and academic social media platforms. Dr. Farhangibarooji's research demonstrates strong interdisciplinary connections between physics, biology, and medical applications, particularly in cancer research and regenerative medicine approaches using organoid models.

• GPCR Research
• Computational Drug Design
• Pharmacoinformatics
• +۳ مورد دیگر

Gáspár Pándy-Szekeres serves as an Academic Employee at the University of Copenhagen's Faculty of Health and Medical Sciences within the Department of Drug Design and Pharmacology. His research focuses on computational approaches to G protein-coupled receptors (GPCRs) and related signaling proteins, with significant contributions to bioinformatics resource development. His primary research interests include GPCR bioinformatics, molecular dynamics simulation of receptor systems, computational drug design methodologies, and specialized database construction for biological targets. He employs advanced computational techniques to analyze receptor structure-function relationships, ligand binding mechanisms, and allosteric modulation sites critical for pharmaceutical development. Recent publications demonstrate a clear trajectory toward integrating artificial intelligence (AlphaFold2) with experimental data to model physiological ligand complexes and receptor dynamics. His work emphasizes large-scale analysis of molecular dynamics trajectories to identify cryptic binding pockets and lateral access pathways in GPCRs, advancing targeted drug discovery. As a core contributor to the GPCRdb platform, he leads international collaborations focused on expanding receptor classification systems, developing structure-similarity search tools, and incorporating odorant receptor data. His research group maintains active partnerships across European institutions for advancing computational pharmacology frameworks.

Hans Redlef Siegismundمشاهده پروفایل

دانشیار

• Population genetics
• Evolutionary biology
• Conservation genetics
• +۵ مورد دیگر

Hans Redlef Siegismund serves as an Associate Professor in the Department of Biology within the Faculty of Science at the University of Copenhagen. His research focuses on population genetics, evolutionary biology, and conservation genetics, with a specialization in Computational and RNA Biology. His work spans diverse ecosystems and species, from African megafauna to Arctic mammals, addressing fundamental questions about genetic diversity, population structure, and evolutionary processes. Dr. Siegismund's research interests center on understanding how historical and contemporary factors shape genetic diversity in wildlife populations. His work examines population structure across various species including giraffes, wildebeest, impalas, Cape buffalo, and muskoxen. He investigates how human activities, including colonialism and habitat fragmentation, impact genetic diversity and population connectivity. His computational approaches analyze large genomic datasets to uncover patterns of ancient admixture, migration routes, and evolutionary resilience in species facing environmental challenges. His recent publication trends reveal a strong focus on wildlife genomics, with particular attention to African species and conservation challenges. His work bridges theoretical evolutionary biology with practical conservation applications, often examining how anthropogenic impacts have shaped current genetic landscapes. The research demonstrates sophisticated genomic analysis techniques applied to conservation questions, with publications appearing in high-impact journals including Cell, Nature Communications, Current Biology, and Molecular Ecology. Dr. Siegismund maintains an active research program with extensive international collaborations across multiple continents. His work has received significant attention in academic circles and broader media, with numerous publications picked up by news outlets and referenced across social media platforms. The impact of his research is evidenced by substantial citation metrics and widespread scholarly engagement with his findings.

Sizhuo Liمشاهده پروفایل

پژوهشگر ارشد

• Deep learning
• remote sensing
• forest management
• +۳ مورد دیگر

Sizhuo Li is a Postdoctoral Researcher at the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen. Working at the intersection of artificial intelligence and environmental science, Dr. Li applies advanced neural networks to solve critical challenges in forest management and carbon stock estimation using remote sensing technologies. Dr. Li's research interests center on developing and adapting deep learning methodologies for environmental monitoring applications. Their primary focus areas include intelligent forest management systems, tree resource quantification, and carbon stock estimation. Current research involves creating an automatic and scalable tree inventory framework based on UNet architecture that enables individual crown segmentation, precise tree counting, and accurate height estimation at country-wide scales. Dr. Li's publication record demonstrates a clear trajectory from technical deep learning methodologies to practical environmental applications across diverse geographical contexts, from the Mediterranean region to the Sahel and Rwanda. This work effectively bridges computer science and environmental science to address urgent climate change and sustainability challenges through innovative technological solutions. Dr. Li has published in prestigious journals including Nature Food, Nature Ecology and Evolution, Nature Reviews Electrical Engineering, and Frontiers in Remote Sensing, with multiple publications receiving significant citations and media attention. Their research has been highlighted by numerous news outlets and academic platforms, indicating growing influence in the field of AI-powered environmental monitoring.

Ulrik Ekmanمشاهده پروفایل

دانشیار

• Environmental Humanities
• Sustainability
• Resilience
• +۱۰ مورد دیگر

Ulrik Ekman serves as Associate Professor of design and architecture at the Department of Arts and Cultural Studies, Faculty of Humanities, University of Copenhagen. His work integrates environmental humanities with urban design and digital culture to address planetary challenges in the Anthropocene through innovative sustainability and resilience frameworks. Education Background: Ph.D. in Literature, Duke University, USA (2000) Research Focus: Ekman pioneers research in Green and Blue Humanities , examining water relations, coastal resilience, and adaptive transition theories for sustainable urban infrastructures. His scholarship explores intersections of eco-art and new media through critical design aesthetics, posthumanism, and materiality studies, challenging nature-culture binaries while addressing consumer societies' ecological impacts. Publication Trajectory: Recent works (2024-2025) center on the Environmental Humanities Glossary project, developing key terms for sustainability discourse. Earlier publications (2012-2018) established foundational work in smart cities and ubiquitous computing, reflecting an evolution from digital culture studies to urgent environmental concerns across 71 research outputs. Academic Leadership: As co-leader of the Art & Earth research cluster (2021-2023), Ekman fosters interdisciplinary environmental humanities collaboration. He mentors students through courses on resilience, eco-art, and smart cities while serving on EU Horizon 2020 and Nordic research council review panels, translating theoretical work into practical urban planning applications.