جست‌وجوی استاد و پژوهشگر

Joseph Matthew Rogersمشاهده پروفایل

دانشیار

• Drug Design
• Pharmacology
• Peptide Engineering
• +۵ مورد دیگر

Joseph Matthew Rogers is an Associate Professor in the Department of Drug Design and Pharmacology at the Faculty of Health and Medical Sciences, University of Copenhagen. His research focuses on innovative approaches to drug discovery and protein engineering with particular emphasis on peptide-based therapeutics. His research interests include: De novo protein and peptide design mRNA display technology for drug discovery GPCR-targeted therapeutics Computational approaches to protein engineering Development of peptide-based inhibitors Structural biology of protein-peptide interactions Dr. Rogers' recent publications demonstrate a strong focus on applying advanced biotechnological approaches to address challenging problems in pharmacology. His work spans from designing miniprotein modulators for stroke treatment to engineering novel protein binders and cyclic peptide inhibitors. He has published in high-impact journals including Nature, Journal of the American Chemical Society, and Angewandte Chemie. His research has received significant attention with publications being picked up by 18 news outlets, blogged about by multiple sources, and referenced by numerous social media users. His work has also been incorporated into clinical guideline sources, demonstrating its translational impact and relevance to medical practice. Dr. Rogers maintains an active research program with 29 total research outputs including journal articles, conference abstracts, reviews, and book chapters. His work bridges the gap between basic science and therapeutic applications, with particular focus on neurological conditions and innovative drug modalities.

Michael Sørensenمشاهده پروفایل

استاد

• Statistical Inference for Stochastic Processes
• Stochastic Differential Equations
• Financial Mathematics
• +۳ مورد دیگر

Michael Sørensen is a Professor at the Department of Mathematical Sciences, University of Copenhagen. His primary research focuses on statistical inference for stochastic processes, particularly stochastic differential equations and jump processes, with applications in finance, physics (e.g., wind-blown sand dynamics), and biology. He has authored/co-authored influential books such as Exponential Families of Stochastic Processes and edited volumes on empirical process techniques and statistical methods for stochastic differential equations. His work bridges theoretical statistics with applied problems in natural sciences and finance. Research interests include modeling turbulence, sand transport dynamics, and protein structure evolution. Collaborations with earth scientists like Keld Rømer Rasmussen have advanced understanding of aeolian processes. His methodologies emphasize likelihood-based inference and estimating functions, with contributions to high-frequency data analysis and diffusion bridge simulations. A comprehensive CV and full publication list are available on his profile. Key contributions span stochastic modeling in physics (e.g., sand dune dynamics), financial econometrics, and computational statistics. He has pioneered techniques for analyzing multi-modal diffusions and developed frameworks for mixed-effects stochastic differential equations. His work is widely cited in both theoretical and applied statistical literature.

• Computational Biophysics
• Membrane Biophysics
• Molecular Dynamics Simulations
• +۵ مورد دیگر

Weria Pezeshkian is an Assistant Professor in the Biocomplexity research group at the Niels Bohr Institute, University of Copenhagen. With expertise spanning computational biophysics and membrane dynamics, Dr. Pezeshkian leads research that bridges physics, biology, and computational science to address fundamental questions in cellular mechanics. Dr. Pezeshkian's research focuses on: Computational modeling of cellular membranes and their dynamic properties Molecular dynamics simulations of protein-lipid interactions Membrane mechanics and curvature generation mechanisms Plasma membrane repair processes Development of computational methodologies for multiscale biological modeling Analysis of recent publications reveals a strong emphasis on membrane biophysics, particularly in understanding how proteins interact with and shape cellular membranes. The research combines advanced computational techniques with experimental data to model complex cellular processes across multiple scales. Key contributions include elucidating mechanisms of membrane repair, protein-induced membrane curvature, and innovative simulation methodologies like FreeDTS and TS2CG. Scientific recognition includes: MGMS Frank Blaney Award (2024) Dr. Pezeshkian maintains an extensive collaborative network across institutions and disciplines, focusing on integrative approaches to complex biological questions. The research has significant implications for understanding fundamental cellular processes and potential applications in disease mechanisms related to membrane dysfunction.

Kristian Barrettمشاهده پروفایل

استادیار

• Enzyme Technology
• Protein Chemistry
• Fungal Enzymes
• +۵ مورد دیگر

Kristian Barrett is an Assistant Professor at the Technical University of Denmark , affiliated with the Department of Biotechnology and Biomedicine . His work focuses on enzyme technology, fungal biotechnology, and bioinformatics-driven enzyme discovery. Research Interests : Fungal enzymes, carbohydrate-active enzyme (CAZyme) diversity, bioinformatics tools for enzyme classification, solid-state fermentation, and sustainable biorefinery applications. Publications highlight studies on GH5, GH12, GH20, and GH29 enzyme families, fungal secretomes, and computational approaches like CUPP for functional annotation. Supervision : Involved in advising PhD projects on topics including methionine synthesis, lignin-carbohydrate interactions, and fungal enzyme applications in plant foods.

Adelina Rogowska-Wrzesinskaمشاهده پروفایل

دانشیار

• Proteomics
• Mass Spectrometry
• Oxidative Stress
• +۳ مورد دیگر

Adelina Rogowska-Wrzesinska is an Associate Professor at the Department of Biochemistry and Molecular Biology, University of Southern Denmark. Specializing in Biomedical Mass Spectrometry and Systems Biology , her research spans proteomics, oxidative stress, protein oxidation, and 3D cell culture models. Affiliation : Department of Biochemistry and Molecular Biology, University of Southern Denmark Academic Role : Teaching and research leadership Her research interests focus on: Redox biology and protein oxidative modifications 3D spheroid models for disease and toxicity studies Mass spectrometry-based proteomics and lipidomics Oxidative stress in cellular senescence and disease Plant stress responses and proteomics Scientific Trends : Recent publications highlight advancements in 3D culture modeling (NAFLD, genotoxicity), redox proteomics (glutathionylation, disulfide bonds), and multi-omics integration (chromatin proteomics, lipidome mapping). Teaching and Supervision : She has supervised multiple PhD students (e.g., Christina Erika Hagensen, Helle Frandsen) and taught courses like Basic Biochemistry (BMB530) and Fundamental Molecular Biology (BMB504) .

Davide Mottinمشاهده پروفایل

دانشیار

• Graph Theory
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Davide Mottin is an Associate Professor at the Department of Computer Science, Aarhus University. His primary research focuses on graph theory, machine learning, and data mining, with significant contributions to knowledge graphs, algorithm design, and interdisciplinary applications in drug discovery and material science. He holds a leadership role in large international conferences such as CIKM 2024 as a Program Chair. His research explores scalable graph algorithms (e.g., subgraph matching, alignment), robust knowledge graph cleaning, and leveraging large language models for scientific tasks. Mottin has pioneered work on spectral methods for graph analysis (e.g., NetLSD, VERSE embeddings) and developed frameworks for interactive data exploration (e.g., X2Q, MetaExp systems). Key contributions include FUGAL for graph alignment and Ucode for community detection Active in reproducibility efforts, as seen in retraction notices and algorithmic redesigns Focus on practical applications in drug discovery via evolution-based models (EvolMPNN) He has authored over 60 peer-reviewed publications and holds grants supporting interdisciplinary research at the intersection of computer science and life sciences. Mottin is affiliated with the university's AI and data science initiatives, contributing to both theoretical advancements and real-world system implementations.

Svante Eriksenمشاهده پروفایل

دانشیار

• Statistics
• Bayesian Networks
• Graphical Models
• +۷ مورد دیگر

Svante Eriksen is an Associate Professor in the Department of Mathematical Sciences at Aalborg University, Faculty of Engineering and Science. His research spans statistics, forensic genetics, and computational modeling, with a focus on Bayesian networks, graphical models, and statistical methods for forensic DNA analysis. He is actively involved in interdisciplinary research and software development for probabilistic genotyping and large-scale inference. Research Interests: Bayesian Networks and Graphical Models Statistical Methods in Forensic Genetics SNP and Y-STR Genotyping Data Mining and Knowledge Discovery Model Selection and Context-Specific Independence Software Development for Statistical Inference Recent Publication Trends (2024–2025): His recent work focuses on improving SNP genotyping accuracy using logistic regression models, developing efficient software (jti and sparta) for Bayesian network inference, and advancing forensic DNA analysis through dynamic SNP selection and probabilistic modeling of Y-STR databases. These contributions reflect a strong integration of statistical theory, computational efficiency, and real-world forensic applications. Scientific Contributions: Principal contributor to software packages for Bayesian network prediction. Developer of statistical models for forensic DNA data interpretation. Collaborator on projects involving digital learning analytics and student retention. Advising and Grants: While specific student names are not listed, the profile indicates involvement in PhD supervision (4 cases). He has participated in multiple externally funded research projects, including those supported by Novo Nordisk and Danish research councils, focusing on forensic DNA analysis, graphical models, and educational data mining. Research Groups and Collaborations: He is part of a strong research network in forensic genetics and statistical modeling at Aalborg University, collaborating with leading researchers such as N. Morling, M. M. Andersen, and T. Tvedebrink. His work is closely tied to the development and application of statistical software in both forensic and educational domains.

Kåre Lehmann Nielsenمشاهده پروفایل

استاد

• Gene sequencing and analysis
• Potato developmental biology
• Genomics
• +۵ مورد دیگر

Kåre Lehmann Nielsen is a Professor in the Department of Chemistry and Bioscience at Aalborg University , associated with the Functional Ecology and Genomics group and the Center for Microbial Communities . His research focuses on plant genomics, microbial interactions, and agricultural biotechnology, with a strong emphasis on potato genetics, genome analysis, and functional genomics. Research Interests : Gene sequencing and analysis in plants and microbes Genetic variation and its impact on phenotypic traits Molecular breeding for crop improvement Microbial community dynamics and symbiosis Carbohydrate-active enzymes and secondary metabolites Recent Research Trends : Recent work highlights genomic prediction in tetraploid potatoes, the role of genetic variation in aging processes in Drosophila melanogaster , and the functional analysis of fungal enzymes. His studies often integrate transcriptomics, metagenomics, and bioinformatics to address challenges in plant breeding and microbial ecology. Grants and Projects : PI of projects like Sekventering og vedligeholdelse af MASPot kartoffelpopulationen (2023–2025) Collaborations on microbial community studies and disease-resistant potato development Labs and Teams : Lead researcher in the Functional Ecology and Genomics group, focusing on microbial communities and plant-microbe interactions. Active in the Center for Microbial Communities at Aalborg University.

Esperanza Rivera de Torreمشاهده پروفایل

استادیار

• Antibody Engineering
• Venomics
• Antivenom Development
• +۷ مورد دیگر

Esperanza Rivera de Torre is an Assistant Professor at the Department of Biotechnology and Biomedicine, Technical University of Denmark. Her research focuses on antibody engineering, venomics, and protein design, particularly in neutralizing venom toxins and cancer therapy. Current affiliation: Department of Biotechnology and Biomedicine (DTU) Academic rank: Assistant Professor Research Interests Specializing in antibody engineering to develop synthetic antivenoms using de novo protein design. Investigating snake venom toxins and their neutralization mechanisms via VHH antibodies. Contributing to protemics and peptide sequencing through AI-driven tools like InstaNovo. Studying structural biology of actinoporins and their interactions with lipid membranes. Active in cross-neutralizing antibodies for tropical diseases and allergens. Advising and Collaborations Supervises multiple PhD students including Ruiz Espi, Møller, and Møiniche. Collaborates on projects like AI-driven protein binder design and allergen epitope characterization. Engages in international collaborations across venom and biomedical research fields.

Kristoffer Vitting-Seerupمشاهده پروفایل

دانشیار

• Bioinformatics
• Computational Biology
• Transcriptomics
• +۵ مورد دیگر

Kristoffer Vitting-Seerup is an Associate Professor at the Department of Health Technology , Technical University of Denmark, specializing in Bioinformatics and Isoform Analysis . His research focuses on leveraging RNA sequencing, alternative splicing, and protein domain variants to advance cancer genomics and neuro-oncology. Current academic rank: Associate Professor Key collaborations: DTU, University of Copenhagen, international cancer research teams Supervisory role: 5 PhD students in projects spanning machine learning for single-cell sequencing and isoform-level systems biology His work demonstrates strong emphasis on transcriptomics in glioblastoma, with recent publications analyzing tumor infiltration, neurodevelopmental pathways, and therapy resistance mechanisms. Articles reveal expertise in alternative splicing's role in biological signaling, protein domain functional diversity, and genomic stability in cancer stem cells. Research tools developed include satuRn for transcript usage analysis and IsoformSwitchAnalyzeR for splicing variant characterization. Current projects aim to improve clinical diagnostics through machine learning frameworks and enhance understanding of isoform-level biology in diseases. Advising: Rasmussen, M. N. (PhD Student, 2025-2028) Zhen, Z. T. (PhD Student, 2024-2027) Hsieh, C.-Y. (PhD Student, 2024-2027) Kanakoglou, D. S. (PhD Student, 2023-2026) Dam, S. H. (PhD Student, 2021-2025)

Lasse Ebdrup Pedersenمشاهده پروفایل

پژوهشگر

• Biotechnology
• Immunology
• Genetic Engineering
• +۴ مورد دیگر

Lasse Ebdrup Pedersen is a Senior Researcher in the Biotherapeutic Glycoengineering and Immunology group at the Department of Biotechnology and Biomedicine, Technical University of Denmark. His research focuses on antibody engineering, CRISPR/Cas9 applications in cell line development, and glycoengineering for biotherapeutics. He actively supervises multiple PhD students in projects related to bispecific antibodies, stem cell-derived NK cell manufacturing, and machine learning applications in biotechnology. Accepting PhD students Active in multiple collaborative projects Expert in antibody engineering and cell line optimization His research interests span biotechnology, immunology, and genetic engineering with specific emphasis on CRISPR activation screening, antibody development, and computational analysis of binding interfaces. Recent publications highlight advancements in CHO cell engineering, phage display data mining, and bispecific antibody design. Scientific activities include participation in conferences like GlycoBioTec 2019 and Danish Conference on Biotechnology . Current projects focus on scalable manufacturing of iPSC-derived NK cells and Raman spectroscopy with machine learning models.

Michael Lisbyمشاهده پروفایل

استاد

• Homologous Recombination
• Genome Integrity
• DNA Repair
• +۴ مورد دیگر

Michael Lisby is a Professor in Genome Integrity at the Department of Biology , University of Copenhagen , and leads research in Functional Genomics . His work focuses on homologous recombination (HR) and its role in genome stability , with applications in cancer genetics , neurological disorders , and cellular aging . PhD in Science (2000) from Aarhus University , studying topoisomerase mechanisms Postdoctoral Fellowship at Columbia University (2000-2004) His research combines cell biological and genetic methods to analyze HR regulation via post-translational modifications and chromatin structure , while also developing genetic libraries for biopharmaceutical applications . Recent work includes computational modeling of excitable media in yeast, DNA repair in mitosis , and protein stability in metabolic diseases . Scientific Awards : European Research Council Starting Grant (2009) NNF Distinguished Investigator Grant (2019-2024) Carlsberg Foundation Semper Arden Grant (2023-2028) He has held managerial roles as Vice-head of Department for Research (2015-present) and Head of Section for Functional Genomics (2010-2015).

• Gene regulation
• Bioinformatics
• RNA Biology
• +۶ مورد دیگر

Albin Gustav Sandelin is a Professor in the Department of Biology at the University of Copenhagen, specializing in bioinformatics and RNA biology. With a PhD in Functional Genomics from Karolinska Institute (2004) and an MSc in Molecular Biology from Stockholm University (2000), his career spans roles at institutions including RIKEN Yokohama Institute and Tokyo Medical and Dental University. His research focuses on Gene regulation mechanisms Transcription start site dynamics RNA sequencing methodologies Promoter architecture analysis Cancer microenvironment interactions . Recent publications highlight his work in pancreatic cancer adaptation to acidic environments (2024-2025), TLDR-seq for RNA analysis, and JASPAR database development. He supervises PhD students including Eivind Valen and Eric Man-Hung, with a history of teaching bioinformatics courses at Karolinska Institute and Copenhagen University. Key collaborations involve institutions in Japan, Canada, and Sweden, with ongoing contributions to open-access genomic resources like JASPAR.

Anja Grothمشاهده پروفایل

استاد

• Molecular Cell Biology
• Epigenetics
• DNA Repair
• +۳ مورد دیگر

Anja Groth, 43 years old, is a full professor at the Biotech Research and Innovation Centre (BRIC) under the University of Copenhagen's Faculty of Health Sciences. Her research centers on molecular cell biology, epigenetics, DNA repair, and genome stability, with significant contributions to understanding how cells maintain functional memory during division—a critical process for both human development and cancer progression. Education: MSc in Biochemistry, University of Copenhagen PhD in Cancer Biology, University of Copenhagen (2004) Postdoc at Institut Curie, Paris (3 years) Her groundbreaking work on DNA repair mechanisms revealed a protein critical for cancer cell survival through error-free DNA repair. This discovery is paving the way for novel cancer therapies that block this protein. Using advanced molecular biology and interdisciplinary collaboration, she has published in top journals like Nature and secured two major ERC grants. Key Research Themes: Epigenetic memory and chromatin replication DNA damage repair pathways Histone dynamics and inheritance Replication fork stability Protein networks in genome maintenance Articles show a consistent focus on histone chaperones, ubiquitination pathways, and chromatin assembly factors. Her 2016 discovery of H4K20me0 marks and the TONSL–MMS22L complex has had lasting impacts on DNA repair research. Awards & Grants: EliteForsk Award (2018) EMBO Investigator Heirloom Award for Women Scientist Leaders ERC Starting Grant ERC Consolidator Grant As leader of a diverse research group of 15 international scientists (primarily women), Groth emphasizes collaborative innovation and trust-building in scientific environments. She advocates for sustainable lab practices and flexible research strategies that allow unexpected discoveries.

• Machine Learning
• Computational Biology
• Protein Design
• +۳ مورد دیگر

Frederikke Isa Marin is a Research Fellow in the Machine Learning section at the Department of Computer Science, University of Copenhagen. Her research focuses on the intersection of machine learning and biological applications, particularly in protein engineering, DNA language modeling, and computational biology. Her primary research interests include developing machine learning frameworks for biological sequence analysis, protein stability prediction, computational protein design, and benchmarking methodologies for DNA language models. She employs generative models, deep learning, and computational simulations to address challenges in structural biology and genomics. Marin's recent publications demonstrate a strong focus on applying machine learning to biological systems. Her work spans protein engineering (including thioredoxin fold redesign and thermal stability prediction), DNA language model benchmarking (BEND), immune receptor modeling, and predictive methods for peptide functionality. Her research consistently combines computational approaches with experimental validation. She maintains collaborative relationships within the Machine Learning section and contributes to the university's computational biology initiatives. Her work utilizes departmental compute resources and aligns with the research groups focused on biological applications of AI.