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Bernd GiebelView profile

Professor

• Extracellular Vesicles
• Mesenchymal Stem Cells
• Regenerative Medicine
• +9 more

Prof. Dr. Bernd Giebel is a leading faculty member at the Institute for Transfusion Medicine, University Hospital Essen, University of Duisburg-Essen. He leads the Giebel Lab, which is dedicated to advancing the understanding and clinical application of extracellular vesicles (EVs), particularly those derived from mesenchymal stromal cells (MSCs). His research spans hematopoietic progenitor biology and EV-based therapeutics for inflammatory and neurological conditions. His research focuses on elucidating the therapeutic potential of MSC-derived EVs, having demonstrated efficacy in treating graft-versus-host disease and ischemic brain injury. His lab pioneers methods for EV isolation and characterization, including free-flow electrophoresis and imaging flow cytometry. He is deeply involved in standardizing EV research through initiatives like MISEV and EV-TRACK. The recent publications highlight a strong trend toward clinical translation, with work on optimizing EV manufacturing, functional assays, and biomarker discovery. His team investigates EVs in stroke, neuroprotection, immunomodulation, and cancer immunotherapy, often using advanced preclinical models and multi-omics approaches. Founding President, German Society of Extracellular Vesicles (2017–2023) Chair, Exosome Committee, International Society for Cell & Gene Therapy (ISCT) Co-initiator, Mobility for Vesicles in Europe (MOVE) Active member, International Society for Extracellular Vesicles (ISEV) Bernd Giebel mentors several PhD students and postdoctoral researchers, fostering the next generation of EV scientists. His lab collaborates extensively with national and international experts, contributing to influential white papers and consensus guidelines. The research is supported by ongoing projects and publications in top-tier journals, indicating sustained funding and academic leadership. The Giebel Lab operates within the Institute for Transfusion Medicine and is part of the broader research ecosystem at University Hospital Essen, focusing on translational medicine and regenerative therapies.

Kristen NaegleView profile

Associate Professor

• Machine Learning and Data Science
• Systems Biology
• Bioinformatics and Computational Biology
• +4 more

Kristen Naegle, Ph.D., is an Associate Professor in Biomedical Engineering at the University of Virginia’s School of Engineering and Applied Science, affiliated with the Center for Public Health Genomics. Her work integrates computational and experimental methods to study tyrosine phosphorylation networks in cellular signaling, focusing on their roles in cancer and other diseases. She leads the Naegle Lab, which develops tools and algorithms to advance precision medicine and systems biology. Naegle holds a Ph.D. in Biological Engineering from MIT (2010), an S.M. in Biological Engineering from MIT (2006), and degrees in Electrical Engineering from the University of Washington (B.S., 2001; M.S., 2004). Her research bridges disciplines, combining machine learning, systems biology, and bioinformatics to decode complex cellular processes. Her research interests include machine learning applications in biomedical data, systems biology modeling, bioinformatics tool development, and translational biotechnology. She investigates how tyrosine phosphorylation regulates cell signaling in cancer, diabetes, and inflammatory diseases, with a focus on cell context-dependent network dysregulation. Naegle has received notable awards, including the UVA Research Achievement Award (2022) and the “Best of 2021” recognition from PLoS Computational Biology. She teaches courses such as BME 4360/6360: Molecular Data Science and BME 6xxx Research Fundamentals. Key grants include NIH/NCI funding for developing molecular tools for tyrosine phosphorylation studies and NIH/NIGMS support for systems-level analyses of phosphorylation networks. Collaborative projects include the NIH/NCI-funded SASCO Center, investigating cancer organelle adaptations, and NIH/NAIAD-funded work on T-cell signaling in immune checkpoint therapies. Her lab’s innovations, such as the KSTAR algorithm and CoDIAC interaction analysis tool, exemplify her commitment to translational research. Current efforts aim to enhance understanding of tyrosine phosphorylation dynamics and their clinical applications in precision oncology and cardiac therapies.

Alecia-Jane TwiggerView profile

Assistant Professor

• Human Lactation
• Mammary Gland Biology
• Breast Milk Composition
• +4 more

Alecia-Jane Twigger is a current faculty member in the Department of Biochemistry at the University of Cambridge, where she leads the Cambridge Lactation Lab. She holds a prestigious UKRI Future Leaders Fellowship that supports her innovative research program focused on understanding human lactation at the cellular and molecular levels. Dr. Twigger's work bridges experimental laboratory approaches with computational modeling to develop novel systems for studying milk production. Dr. Twigger's research interests center on the fundamental biological processes of human lactation. Her work investigates the biosynthesis pathways involved in milk production, the cellular mechanisms of lactocyte specification, and the molecular basis of low milk supply - a common challenge for many breastfeeding mothers. By developing lab-grown and computational models of human lactation, her research aims to translate basic scientific discoveries into practical applications that can improve breastfeeding outcomes and enhance long-term health for both mothers and children. Analysis of Dr. Twigger's publication record reveals a strong focus on single-cell technologies applied to mammary gland biology and human milk composition. Her research spans from fundamental cellular mechanisms of lactation to translational applications, with particular emphasis on how genetic, ancestral, and metabolic factors influence milk synthesis. The integration of computational modeling with laboratory-based approaches represents a distinctive feature of her research program. UKRI Future Leaders Fellowship Dr. Twigger leads the Cambridge Lactation Lab, which is actively engaged in the CAMB MOM study collecting human milk samples to enhance laboratory models of lactation. Her research group combines cutting-edge scientific tools to understand the molecular basis of human lactation, with particular focus on identifying strategies to improve breastfeeding, especially for women experiencing low milk supply. The lab collaborates with clinical researchers and accepts interns, undergraduate students, postgraduate students, and postdoctoral researchers interested in mammary gland biology and lactation science.

• Immunology
• Microbiology
• Vaccine Development
• +6 more

Rachel Mary Mc Loughlin is a Professor in Immunology and Biochemistry at Trinity College Dublin . Her research focuses on Staphylococcus aureus pathogenesis, T cell biology , neutrophil responses , and vaccine development . She has led numerous projects funded by institutions such as Science Foundation Ireland , Wellcome Trust , and GlaxoSmithKline . Education : Not explicitly detailed in the text. Research Interests include: Host-Pathogen Interactions with Staphylococcus aureus Immunomodulation via cytokines (IL-10, IL-6, Type I IFN) Vaccine Design targeting skin and respiratory immunity Neutrophil Apoptosis and autophagy during infections T Cell Memory in bacterial infections Her peer-reviewed publications (over 90) span immunology, microbiology, and vaccinology , with recent work on Staphylococcus aureus immune evasion mechanisms and IL-22 regulation. She has received multiple honors, including the TCD Faculty of STEM Award (2023) and Science Foundation Ireland Early Career Researcher of the Year (2017) . Grants and Projects : Skin delivery and tissue-resident T cell responses (GSK, 2021–2025) Characterisation of skin resident memory CD4 T cells (GSK, 2019–2024) Vaccination: Knowledge is Power (HRB, 2018–2022) Staphylococcus aureus immunosuppressive memory (Wellcome Trust, 2017–2021)

Hongbing YuView profile

Assistant Professor

• Infectious Diseases
• Immunology
• Microbiology
• +6 more

Hongbing Yu, Ph.D. is an Assistant Professor in the Department of Microbiology, Molecular Genetics and Immunology at the University of Kansas School of Medicine. His research focuses on the molecular and cellular mechanisms involved in infectious and immune diseases, with particular emphasis on host-microbe interactions at the intestinal barrier. Dr. Yu's research interests center on understanding how host-microbe interactions occur at the intestinal barrier. His work has made significant contributions to the field through the discovery of a key neuroimmune axis whereby the recruitment of group 3 innate lymphoid cells (ILC3s) in the intestine is controlled by the neuropeptide vasoactive intestinal peptide (VIP). He has also revealed important mechanisms by which serine protease autotransporters of Enterobacteriaceae (SPATEs) contribute to intestinal colonization and pathogenesis, particularly in Citrobacter rodentium infections. Analysis of Dr. Yu's recent publications (2020-2025) reveals a strong focus on intestinal barrier function, host-pathogen interactions, and inflammatory bowel disease mechanisms. His work frequently employs advanced techniques including organoid models, flow cytometry-based permeability measurements, and molecular approaches to dissect signaling pathways involved in mucosal immunity. Key themes include neuroimmune regulation, bacterial virulence mechanisms, mucosal defense systems, and the development of therapeutic approaches for gastrointestinal disorders. Dr. Yu maintains active collaborations with prominent researchers in the field, particularly Bruce Vallance and Kevan Jacobson, as evidenced by his extensive publication record. His research bridges basic science with potential clinical applications, particularly in understanding and treating inflammatory bowel diseases and infectious diarrheal diseases.

• Artificial Intelligence
• Biomedical Imaging
• Computer Vision
• +5 more

Andreas Uhl is a University Professor in Artificial Intelligence and Human Interfaces at the Department of Computer Science, University of Salzburg. With a prolific research career spanning from 1996 to present, he has authored or co-authored 534 publications and led or participated in 59 research projects. His work demonstrates sustained academic productivity with recent publications and projects extending through 2025. Professor Uhl's research interests span multiple domains at the intersection of artificial intelligence and practical applications. His primary focus areas include computer vision, biometrics, biomedical imaging, and digital forensics, with significant contributions to pattern recognition and image analysis. His work bridges theoretical computer science with practical applications in cultural heritage preservation, medical diagnostics, and security systems, demonstrating a versatile research portfolio that addresses both fundamental challenges and real-world problems. His recent publications reveal a strong emphasis on temporal image forensics, biomedical image analysis, and biometric security. The research shows a clear trajectory toward increasingly sophisticated applications of AI in specialized domains, with particular attention to validation methodologies and limitations of current approaches. His work on cultural heritage applications demonstrates an innovative application of computer vision techniques to historical artifacts. Best paper award @ 25th ACM Symposium on Applied Computing (Applications Track), 2010 Best Paper award @ 2nd European Workshop on Visual Information Processing (EUVIP'10), 2010 IEEE Biometrics Council Best Paper Award (TBIOM), 2022 Kurt Zopf Preis, 2023 Professor Uhl actively leads multiple significant research initiatives, including the CDL-POSA project on People and Object Surface Authentication (2025-2032), Artificial Intelligence driven Biomedical Imaging Innovation (2025-2029), and the AIBIA Research and Transfer Junior Lab (2023-2025). His research group maintains active collaborations with institutions like Carnegie Mellon University, as evidenced by his recent research stay there in September 2024. The scope and duration of his current projects indicate substantial grant funding and institutional support for his research agenda. His laboratory activities focus on AI applications in biomedical imaging, border security through vehicle-integrated technologies (AutoBorder project), and cultural heritage analysis. The research environment appears to integrate academic inquiry with practical transfer through initiatives like the FFG Student Internships program, suggesting a strong commitment to both fundamental research and real-world implementation.

Vincent RouillyView profile

Researcher

• Immunology
• Infectious Diseases
• Systems Biology
• +3 more

Vincent Rouilly is a researcher at Institut Pasteur , Paris, specializing in systems immunology and infectious disease diagnostics. He is a key member of the Milieu Intérieur Consortium , focusing on standardized immunomonitoring techniques and host-pathogen interactions. Current projects analyze TLR4-IFNβ-IL-12p70 signaling in tuberculosis and SARS-CoV-2 infections Led development of next-generation diagnostic tools like TruCulture assays His research spans: Immunology : Innate/adaptive immunity, cytokine networks Infectious Diseases : Tuberculosis, SARS-CoV-2, Mycobacterium tuberculosis Systems Biology : Transcriptional profiling, nCounter assays Microbiota : Diet-gut-immune axis Inflammatory Disorders : TNF-blocker mechanisms in spondyloarthritis From 2015–2022, his publications demonstrate expertise in standardized whole blood stimulation, digital ELISA integration, and multi-center immunomonitoring. Collaborations include teams studying HIV-1, Aspergillus, and antibiotic resistance.

Sarah M. KeltingView profile

Associate Clinical Professor

• hematopathology
• cytopathology
• gynecologic pathology
• +2 more

Sarah M. Kelting serves as Clinical Associate Professor and Cytopathology Fellowship Program Director in the Department of Pathology and Laboratory Medicine at the University of Kansas School of Medicine. Her dual clinical expertise bridges hematopathology and cytopathology with significant contributions to gynecologic pathology diagnostics. Her educational journey includes: BA in Bachelor of Arts from University of Kansas, Lawrence MD from University of Kansas School of Medicine, Wichita Residency in Anatomic and Clinical Pathology at University of Virginia Health System Clinical Fellowship in Hematopathology at University of New Mexico Health Sciences Center Clinical Fellowship in Cytopathology at University of Kansas Medical Center Dr. Kelting's research integrates morphologic analysis with molecular genetics to advance diagnostic precision in hematologic malignancies and cytology. Her work particularly addresses acute myeloid leukemia genomics, myelodysplastic syndrome classification, and adaptation of cervical screening protocols for transgender populations. She employs multimodal approaches combining immunophenotyping, flow cytometry, and immunohistochemistry to resolve diagnostic challenges in pancreatic and lymphoid malignancies. Recent publications demonstrate consistent focus on hematopathology (67% of output) and cytopathology (33%), with emerging emphasis on molecular characterization of SRSF2-mutated AML (2023) and transgender-inclusive gynecologic cytology (2021). Key methodological trends include integration of next-generation sequencing data with traditional morphology and development of triaging algorithms for effusion specimens. She maintains active board certifications: Anatomic & Clinical Pathology (American Board of Pathology) Cytopathology (American Board of Pathology) Hematopathology (American Board of Pathology) As Cytopathology Fellowship Program Director, Dr. Kelting oversees comprehensive training in diagnostic cytology with emphasis on gynecologic, non-gynecologic, and molecular applications. Her leadership shapes curriculum development and competency assessment for future cytopathologists, though specific trainee details aren't documented. Research activities appear intrinsically linked to clinical service without mention of extramural grant funding. Dr. Kelting operates within the integrated academic-clinical framework of KU Medical Center's pathology department, contributing to both the hematopathology division's diagnostic service and the cytopathology fellowship's educational mission through ongoing scholarly activity.

Inge JonassenView profile

Professor

• Bioinformatics
• Molecular Biology Data Analysis
• Pattern Recognition
• +7 more

Dr. Inge Jonassen is a Professor and currently serves as the Head of Department at the Department of Informatics, University of Bergen. She has overall responsibility for the department's activities including research and education. Her leadership role indicates her significant standing within the academic community and her department. Dr. Jonassen's primary research focus is in bioinformatics , specifically developing and applying informatics methods for the analysis of molecular biology data. Her work spans several key areas: Development of methods for automatic discovery of patterns in biological data Application of data analysis techniques and algorithms to molecular biology problems Machine learning approaches for biological data interpretation Analysis of diverse biological data types including DNA sequences, protein structures, and gene expression data Integration of data and tools within bioinformatics Her research demonstrates a strong interdisciplinary approach, with tight collaboration between her computational group and experimental groups across various biological and medical research fields. This collaborative model enables translation of computational methods into practical biological insights. Dr. Jonassen's publication record shows consistent output in high-impact journals, with research spanning marine biology, cancer research, toxicology, and genomics. Her work frequently involves analysis of next-generation sequencing data and development of computational tools that address specific biological challenges. A notable trend in her recent work is the increasing focus on single-cell analysis techniques and spatial biology, reflecting broader trends in the field. She teaches primarily bioinformatics courses, though she has also taught user courses in informatics and operating systems, demonstrating her versatility as an educator. Her group page indicates active research with numerous current projects.

Robert FlassigView profile

Research Professor

• Technical Energy Efficiency
• Process Systems Engineering
• Machine Learning Applications
• +6 more

Prof. Dr.-Ing. Robert Flassig is a Research Professor for Technical Energy Efficiency at the Brandenburg University of Applied Sciences , focusing on interdisciplinary research at the intersection of energy systems, process engineering, and computational methods. With extensive collaborations across institutions like the Max Planck Institute and TU Berlin, his work emphasizes methodological innovation in mathematical modeling, machine learning, and optimization for industrial applications. Research Highlights: Technical Energy Efficiency and Resource Management Machine Learning for Biological and Engineering Systems Reactor Network Synthesis via Flux Analysis Stochastic Modeling of Actomyosin Dynamics Scientific Recognition: 2017 DECHEMA Young Talent Award 2013 Sbv Improver 1st Place (Nature) 2009 DREAM 4 In Silico Challenge 3rd Place Key Collaborations: Rolls-Royce Deutschland, Max Planck Institute, TU Berlin, and Fraunhofer IPK. His recent projects ( VITVI , AutoBlisk ) integrate AI for virtual engine development and multidisciplinary design optimization, securing 1.5M€ in research funding.

Sofia BarbieriView profile

Researcher

• Biophysics
• Radiation Biology
• Computational Biology
• +5 more

Dr. Sofia Barbieri is an Ambizione grantee at the University of Geneva , affiliated with the PHYM Department and Laboratory of Asymmetric Cell Division led by Professor Monica Gotta. Her work bridges physics and biology through computational modeling of cellular processes. Graduate: Bio-Medical Physics (2015), University of Pavia PhD: Physics (2018), Columbia University Medical Center Research Focus: Interdisciplinary studies at the physics-biology interface, concentrating on: Cell polarity marker dynamics in C. elegans embryos Protein gradient formation mechanisms Computational modeling of biological systems Monte Carlo simulations for cellular processes Radiation biology across spatial scales Publications demonstrate expertise in developmental biology, stress granule formation, radiation effects, and systems-level modeling. Eight key works span reaction-diffusion systems, cancer-immune interactions, and nanoparticle uptake mechanisms. Scientific Contributions: Revealing feedback circuits in embryonic patterning Developing computational tools for radiation biology Identifying microvilli adhesion pathways Advancing stress granule nucleation models

Bernd BodenmillerView profile

Professor

• Single-Cell Systems Biology
• Cancer Research
• Imaging Mass Cytometry
• +3 more

Prof. Dr. Bernd Bodenmiller holds dual appointments as Professor at the University of Zurich (Department of Quantitative Biomedicine) and ETH Zurich (Institute of Molecular Health Sciences). He leads the Bodenmiller Lab, which pioneers single-cell analysis techniques including imaging mass cytometry to study tumor ecosystems and cancer progression. Research focuses on: Developing experimental/computational methods for tumor ecosystem analysis Translational applications in precision oncology Mechanistic studies of cancer signaling networks Advancing multiplexed tissue imaging technology Major scientific recognition includes the ERC Consolidator Grant for modeling tumor complexity. The lab maintains active collaborations with clinicians and pharmaceutical companies to develop diagnostic/therapeutic applications. Current research team comprises 8 PhD students, 4 postdoctoral fellows, and technical staff. The group develops open-source computational tools including histoCAT, steinbock, cytomapper, and imcRtools for spatial single-cell data analysis.

Julie Smith-GagenView profile

Associate Professor

• Epidemiology
• Health Policy
• Cancer Research
• +4 more

Julie Smith-Gagen is an Associate Professor at the University of Nevada, Reno, School of Community Health Sciences. Her research addresses cancer epidemiology, health policy, and disparities in healthcare access for underserved populations. She focuses on Cancer of Unknown Primary (CUP), nonalcoholic steatohepatitis, and women's health, particularly breastfeeding practices and laws. Education: Ph.D. in Epidemiology, University of California, Davis (2004) MPH, University of South Florida (1998) B.S. in Biology, Florida State University (1989) B.S. in Physics, Frostburg State University (1987) Her epidemiological work integrates big data and statistical methods to study cancer survivorship, diagnostic evaluation, and policy impacts on healthcare equity. Collaborations span oncology, immunology, and public health, with an emphasis on minority and rural populations. Scientific Awards: Health Care Scholars Award, UCLA Network for Multicultural Research on Health and Healthcare (2010) Rising Star, Geographic Management of Cancer Health Disparities Program at Huntsman Cancer Institute She has secured funding from the National Institutes of Health (NIH), Southern California NIOSH Education and Research Center, and Renown Health. Her leadership roles include Vice Chair for the Minority Affairs Committee in the American College of Epidemiology.

Arne ÖstmanView profile

Professor

• Tumor Microenvironment
• Cancer Biology
• Fibroblast Signaling
• +2 more

Arne Östman is a Senior Professor at the Department of Oncology-Pathology, Karolinska Institutet , specializing in tumor microenvironment research. His work bridges pre-clinical studies and clinical applications, focusing on cancer-associated fibroblasts (CAFs), PDGF signaling, and biomarker development for drug targeting. Key Research Themes: Tumor-stromal interactions CAFs in breast, prostate, ovarian, colorectal, and kidney cancers Novel spatial tissue profiling methods Drug target identification in stromal cells Recent Articles highlight PDGF system roles, FAP+ fibroblasts, and NRF2 in metastasis across multiple tumors. Collaborations include SciLifeLab , clinical researchers, and pharmaceutical partners. Scientific Contributions include grants from the Swedish Cancer Society (80 million SEK) and Radiumhemmet (33 million SEK) for tumor microenvironment studies. His team has identified CAF subtypes and stromal-immune crosstalk mechanisms with clinical utility.

• Medical Education
• Patient Safety
• Emergency Medicine
• +6 more

Robert Gaffney is a Senior Lecturer at the Medical School of University College Cork (UCC) , with a focus on medical education and patient safety. He has held roles including Director of Clinical Skills and Senior Medical Demonstrator since 2005. Education: MB BCH BAO in Medicine (1998) from University College Cork His research spans interdisciplinary medical education, simulation-based training, and clinical safety protocols. Key areas include communication skills assessment, emergency medicine simulations, and interdisciplinary collaboration in healthcare education. Earlier work explored oncology (synovial sarcoma genetics), neurology (ALS dysphagia), and radiology (cochlear implant imaging). Publications highlight trends in medical education (2010s), patient safety frameworks (2011-2012), and foundational research in oncology (2002-2006) and gastrointestinal diagnostics (1999-2004). Scientific Awards: Teaching Awards (2008, 2002) from UCC; Ethicon Travelling Scholarship (1998) At UCC, he contributed to curriculum development and interdisciplinary teaching initiatives, emphasizing simulation technology for student training. His career also involved clinical roles at Cork University Hospital (1999-2001) and research in cardiology and genetics earlier in his career.