جست‌وجوی استاد و پژوهشگر

Thorsten Heinekampمشاهده پروفایل

پژوهشگر

• Fungal Pathobiology
• Aspergillus fumigatus Research
• Host-Pathogen Interactions
• +۴ مورد دیگر

Dr. Thorsten Heinekamp is a Researcher in the Molecular and Applied Microbiology unit at the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) in Jena, Germany. His work focuses on the pathobiology of Aspergillus fumigatus , a major fungal pathogen causing invasive aspergillosis in immunocompromised patients. He maintains active collaborations within the institute's research ecosystem, particularly with the Infection Immunology and Fungal Septomics groups. His research interests center on host-pathogen interactions between A. fumigatus and the human immune system, with particular focus on: How the fungus evades immune recognition and destruction Mechanisms of antifungal drug resistance Interactions between fungal pathogens and the lung microbiome Viral-fungal coinfections (particularly with influenza A virus) Novel therapeutic approaches targeting fungal virulence Analysis of his recent publications (2023-2025) reveals a strong emphasis on molecular mechanisms of pathogenesis, with significant contributions to understanding how A. fumigatus hijacks host cellular machinery, modulates immune responses through toxins like gliotoxin, and adapts its metabolism to survive in host environments. His work frequently employs advanced techniques including proteomics, metabolic modeling, and high-resolution imaging of host-pathogen interactions. Dr. Heinekamp has contributed to numerous high-impact publications in leading journals including: Nature Microbiology Nature Communications Cell Reports Cell Host & Microbe Immunology His research program demonstrates strong collaborative funding support, with projects spanning microbial immunology, drug discovery, and systems biology approaches to fungal pathogenesis. The Molecular and Applied Microbiology unit at Leibniz-HKI provides infrastructure for advanced microbiological research, including BSL-3 facilities for working with pathogenic fungi, high-throughput screening platforms, and access to clinical samples through collaborations with medical centers. Dr. Heinekamp's laboratory work contributes significantly to the institute's mission of understanding infection biology and developing novel anti-infective strategies, with particular relevance to immunocompromised patients vulnerable to invasive fungal infections.

Markus Wittköpperمشاهده پروفایل

مدرس

• Wet Wood Conservation
• Archaeological Restoration
• Conservation of Waterlogged Wood
• +۴ مورد دیگر

Markus Wittköpper is a prominent conservator specializing in wet wood conservation at the Leibniz Centre for Archaeology in Mainz, Germany. With over three decades of experience, he serves as a Lecturer in the 'Archaeological Restoration' program focusing specifically on Wet Wood Conservation. His career spans significant projects including the conservation of the Mainz Roman Ships (1991-1996), Roman Military Boats of Oberstimm (1994-1999), and numerous other high-profile archaeological wood artifacts. Wittköpper's research interests center on the conservation and restoration of waterlogged archaeological wood, with particular expertise in the Kauramin method using melamine formaldehyde for wood stabilization. He has pioneered the application of structured-light 3D scanning and micro computed tomography for non-destructive analysis of conserved wood, providing scientific validation for conservation treatments. His work spans from prehistoric artifacts like the Schöningen Spear to Roman period wooden structures. His publication record demonstrates consistent contributions to the field since the late 1990s, with recent work focusing on comparative studies of conservation methods, 3D documentation techniques, and specific project documentation like the CuTAWAY and KUR projects. His 2024 publications continue to advance methodologies for waterlogged wood conservation. Wittköpper has received recognition through his leadership of major projects including the EU-funded DIAWOOD project (2000-2002) and the KUR project (2008-2011), which developed an influential online database for handling mass archaeological finds. His work has been presented at numerous international conferences including the ICOM-CC Wet Organic Archaeological Materials Working Group meetings. As a supervisor and educator, Wittköpper has contributed to the 'Archaeological Restoration' program, sharing his extensive practical knowledge with students. His approach combines traditional conservation techniques with modern scientific analysis, making significant contributions to the standardization of wet wood conservation practices worldwide. He continues to be actively involved in cutting-edge research through current projects like CuTAWAY.

• Brain-Computer Interfaces
• Neuroelectronics
• Biomedical Engineering
• +۴ مورد دیگر

George Al Boustani is a researcher at the Associate Professorship of Neuroelectronics at the Technical University of Munich (TUM), affiliated with the Munich Institute of Biomedical Engineering (MIBE). He holds a B.Sc. in Computer and Communication Engineering from the American University of Science and Technology (2016) and an M.Sc. in Neuroengineering from TUM (2020). Current research focuses on non-invasive electrode fabrication and biowearable technologies . Key applications include stroke detection and neuro-automation in real-world environments. Specializes in dry electrode design , machine learning for neural signals , and long-term neural recording viability . Contact: george.al-boustani@tum.de

Mathew A Bealeمشاهده پروفایل

پژوهشگر

• Sexually Transmitted Infections
• Bacterial Genomics
• Pathogen Evolution
• +۵ مورد دیگر

Mathew A Beale serves as a Senior Staff Scientist in the Thomson Group within the Infection Genomics Programme at the Wellcome Sanger Institute, specializing in bacterial genomics and evolution of human pathogens through integrated wet-lab and computational approaches. His educational foundation includes: PhD in Virology from University College London and Public Health England Prior research training at St George's University London and Imperial College Biomedical Scientist certification in Transfusion Science (including Virology) from NHSBT Beale's research centers on pathogen genomics with primary emphasis on sexually transmitted infections (particularly syphilis caused by Treponema pallidum ), neglected tropical diseases (notably yaws), and antimicrobial resistance mechanisms in Klebsiella pneumoniae and Escherichia coli . His work bridges laboratory genomic methods with phylogenomic analysis to investigate transmission dynamics, resistance evolution, and public health intervention impacts across diverse global settings from England to Papua New Guinea and Malawi. Analysis of his 15 most recent publications (2022-2025) reveals consistent application of whole-genome sequencing to track pathogen spread, with dominant themes in syphilis genomics (6 papers), antimicrobial resistance evolution (7 papers), and tropical disease eradication efforts (2 papers). Key methodological strengths include longitudinal sampling designs and mobile genetic element analysis, particularly in low-resource settings. As an active member of the Thomson Group, Beale contributes to the Wellcome Sanger Institute's mission of genomic pathogen research while maintaining extensive international collaborations across Europe, Africa, and Asia-Pacific regions through co-authorship on field-based epidemiological studies.

Stephen D. Bentleyمشاهده پروفایل

استاد

• Bacterial Genomics
• Pathogen Surveillance
• Pneumococcal Evolution
• +۵ مورد دیگر

Professor Stephen D. Bentley is a Principal Staff Scientist and Team Leader for the Genomics of Pneumonia, Meningitis and Neonatal Sepsis team within the Parasites and Microbes programme at the Wellcome Sanger Institute. He joined the Institute in 1998 and has dedicated his career to decoding the genomics of disease-causing bacteria, with a particular focus on pathogens associated with respiratory infections that have a major disease burden in resource-poor settings. Dr. Bentley's research interests center on using bacterial pathogen genomics to understand patterns of colonization, transmission, and genetic associations with disease. His early work focused on the antibiotic-producing soil bacterium Streptomyces coelicolor and the rare human pathogen Tropheryma whipplei , providing insights into mechanisms of horizontal gene transfer and antigenic variation. This was followed by research into Streptococcus pneumoniae and Neisseria meningitidis , revealing how gene and genome variation occurs between loci and species. Since the development of high-throughput sequencing, his research has focused on population genomics with pioneering papers on MRSA (2010) and the pneumococcus (2011) that revealed patterns of international spread, vaccine escape, and the acquisition of antimicrobial resistance. His work has been instrumental in understanding how bacterial pathogens evolve in response to clinical interventions like vaccines and antibiotics. Professor Bentley's team has made significant contributions to pneumococcal research, particularly through sequencing the capsular biosynthesis genes for all known serotypes of S. pneumoniae , which enabled molecular methods for determining serotype and brought important new understanding of pneumococcal colonization and transmission. His recent work examines within-host genetic diversity, serotype replacement following vaccine introduction, and the global spread of antibiotic-resistant strains, with publications spanning multiple continents and involving extensive international collaborations. Throughout his career, Professor Bentley has mentored numerous early-career scientists and fostered strong global collaborations through initiatives like the Global Pneumococcal Sequencing Project. His work has been pivotal in applying next-generation sequencing technologies to bacterial pathogens, revolutionizing our understanding of how these organisms evolve and adapt in response to selective pressures from vaccines and antibiotics, with direct implications for public health interventions worldwide.

David Moffatمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Environmental Science
• +۴ مورد دیگر

David Moffat serves as AI and Machine Learning Data Scientist at Plymouth Marine Laboratory, leading organization-wide AI initiatives to advance environmental and marine research through cutting-edge data science methodologies. His work bridges computer science expertise with critical ecological challenges, leveraging both traditional and modern AI techniques to extract insights from complex environmental datasets. His academic credentials include: BSc in Artificial Intelligence and Computer Science (University of Edinburgh) MSc in Signal Processing (Queen Mary University of London) PhD in Computer Science (Queen Mary University of London) Moffat's research centers on applied artificial intelligence with specialization in signal processing and time series analysis for environmental applications. He develops AI solutions for air-sea interaction studies, phytoplankton dynamics monitoring, invasive species mapping using drone technology, and audio processing systems. His methodological approach combines deep learning with domain-specific knowledge to create robust models for understanding complex natural systems under changing environmental conditions. Dr. Moffat actively secures research funding through major projects including NEODAAS, SCOPE DEAL, Marine Geospatial Foundation Models, and DEFRA-ASIP. These initiatives support collaborative research across environmental science domains and have enabled him to deliver specialized AI training to over 300 professionals. His leadership drives institutional capacity building in data science while maintaining strong connections to academic research through publications and conference contributions. At Plymouth Marine Laboratory, Moffat heads the AI research team that develops and implements machine learning frameworks across environmental monitoring programs. The team focuses on creating transferable AI models for marine applications, integrating satellite data with in-situ measurements, and developing practical tools for ecosystem management that balance scientific rigor with real-world usability.

• Machine Learning in Medicine
• Medical Signal Processing
• Cardiovascular Simulation
• +۳ مورد دیگر

Dr. Urs Hackstein serves as a Research Assistant in the EU project QUMPHY and Lecturer for special tasks at the Department of LSE, Technical University of Central Hesse (THM), Germany. His work bridges computational methods with medical diagnostics, focusing on uncertainty quantification in machine learning applications for cardiovascular analysis. Educational background: Dr. rer. nat. (Doctor of Natural Sciences) Dipl.-Math. (Diploma in Mathematics) Research Interests: Machine Learning in Medicine: Developing frameworks to quantify uncertainties in ML algorithms for medical signal interpretation, particularly photoplethysmography (PPG) analysis. Cardiovascular Diagnostics: Creating non-invasive support systems for early aortic aneurysm detection through biofluid mechanics simulations and biosignal processing. Medical Data Science: Integrating biosignal analysis with clinical data for predictive modeling in cardiovascular medicine. Active Research Projects: EU project QUMPHY: Quantifying uncertainties in machine learning for medical physics applications under Prof. Bernhard's supervision. BMBF project CardioInBaMed: Developing AI-driven diagnostic tools for aortic aneurysm detection through biosignal processing. He maintains laboratory facilities at Ringallee 37 D14.2.01, Gießen, supporting experimental work in biofluid mechanics and medical signal acquisition.

• Chronic Lung Diseases
• Pulmonary Fibrosis
• Extracellular Matrix
• +۶ مورد دیگر

Gerald Burgstaller is a Principal Investigator and Research Group Leader at Helmholtz Munich's Institute of Lung Health and Immunity and Comprehensive Pneumology Center (CPC). His work focuses on developing innovative immunotherapeutic technologies for chronic lung diseases, particularly Idiopathic Pulmonary Fibrosis (IPF) and Chronic Obstructive Pulmonary Disease (COPD). Expertise in extracellular matrix (ECM) biology Specializes in AI-driven drug discovery Develops advanced 3D/4D human disease models His research integrates phenotypic screening with deep learning methods to identify novel molecular targets. Recent publications highlight breakthroughs in: RNA delivery systems for lung diseases Multi-rater organoid detection datasets Spatial nanoparticle profiling in lungs Burgstaller leads a multidisciplinary team working on: Extracellular vesicle mechanisms in fibrosis Computational pathology analysis Medicinal chemistry approaches

Anja Silgeمشاهده پروفایل

پژوهشگر

• Raman Spectroscopy
• Microbiology
• Disease Diagnostics
• +۳ مورد دیگر

Dr. Anja Silge is the Deputy Head of the Research Department Spectroscopy/Imaging at the Leibniz Institute of Photonic Technology (IPHT). Her research integrates Raman spectroscopy and imaging to address complex biological and medical challenges, including microbial interactions, disease diagnostics, and photonics innovation. She holds a doctoral degree and leads advanced spectroscopic projects. Research Focus: Application of Raman spectroscopy in microbiology and disease diagnostics. Development of machine learning algorithms for spectroscopic data analysis. Investigation of bacterial toxins affecting algae and fungi. Clinical translation of spectroscopic techniques (e.g., COVID-19 detection). Her publications emphasize Raman spectroscopy's versatility, spanning algal-bacterial interactions, diagnostic tool development, and analytical method validation. Recent work highlights trends in clinical spectroscopy (e.g., neutrophil activation in SARS-CoV-2) and machine learning-enhanced instrumentation . No awards, grants, or student mentorship details are available in the provided sources.

• Lung pathology
• Pulmonary fibrosis
• Lung cancer
• +۷ مورد دیگر

Robert Homer, MD, PhD is Professor of Pathology and of Medicine (Pulmonary) at Yale School of Medicine, where he serves as Director of Medical Studies for Anatomic Pathology and Director of Medical Education for Pathology. He previously served as lead thoracic pathologist at Yale from 2004 to 2022 and Director of Anatomic Pathology at VA Connecticut HealthCare system from 1994 to 2022. His institutional affiliations include multiple Yale centers and programs such as the Cancer Signaling Networks, Center for Thoracic Cancers, Interstitial Lung Disease Program, and Pulmonary, Critical Care & Sleep Medicine. Dr. Homer's research focuses on the pathology of neoplastic and inflammatory lung diseases, with particular expertise in pulmonary fibrosis and lung cancer mechanisms. His work bridges basic science and clinical pathology, utilizing both human tissue analysis and murine models of lung disease. He has recently become interested in applying Large Language Models to medical education, reflecting his dual commitment to pathology research and pedagogy. Analysis of Dr. Homer's recent publications (2022-2025) reveals a strong focus on lung cancer genomics, tumor evolution mechanisms, and the molecular basis of pulmonary fibrosis. His work frequently appears in high-impact journals including Nature, Nature Communications, and Cancer Discovery, demonstrating significant contributions to understanding lung disease pathogenesis and developing improved diagnostic approaches. Keynote address for Pulmonary Pathology Society (2009) Dr. Homer maintains an active research program despite being in phased retirement, with numerous publications through 2025. He serves as an editorial board member for the American Journal of Pathology and has presented on innovative approaches to medical education, including 'From Bots to Docs, Harnessing AI in the medical education journey' (2023). His clinical expertise in thoracic pathology continues to inform both his research and teaching activities at Yale.

• Systems Biology
• Signal Transduction
• Cell-Cell Communication
• +۳ مورد دیگر

Andre Levchenko is the John C. Malone Professor of Biomedical Engineering at Yale University, with secondary appointments in Neurosurgery and affiliations spanning the Yale Cancer Center (Cancer Signaling Networks Program), Systems Biology Institute (Director), Yale Biomedical Imaging Institute, and Program in Neurodevelopment and Regeneration. His lab employs interdisciplinary approaches integrating systems biology, microfluidics, and computational modeling to investigate cellular decision-making. Research focuses on three interconnected themes: Dynamic signaling networks : Decoding VEGF/YAP crosstalk in angiogenesis, NOTCH spatiotemporal patterning, and oscillations in HIF-1α during hypoxia Cancer mechanisms : Ion transport in glioblastoma invasion, metabolic adaptations in tumors, and therapeutic targeting of transcriptional networks Stem cell & developmental engineering : Brain organoid specification using WNT/SHH gradients, mechanobiology of stem cell differentiation, and CRISPR-engineered models Publication analysis reveals consistent emphasis on quantitative approaches to cell signaling (60% of recent work), cancer biophysics (30%), and neurodevelopmental engineering (10%), with frequent use of single-cell analysis, microfluidics, and mathematical modeling. Major scientific recognitions include: Burroughs Wellcome Fund Fellowship (1999-2001) American Asthma Foundation Early Excellence Award (2010) Elected Fellow, American Institute for Medical and Biological Engineering (2013) The Levchenko Lab at Yale's Systems Biology Institute hosts graduate students and postdocs pursuing projects at the interface of engineering, systems biology, and translational medicine. Active collaborations extend to neurosurgeons, oncologists, and stem cell biologists across Yale.

• Cancer Diagnostics
• Liquid Biopsy
• Circulating Tumor DNA
• +۷ مورد دیگر

Abhijit Patel, MD, PhD, is an Associate Professor of Therapeutic Radiology at Yale School of Medicine and Medical Director of Lawrence & Memorial Cancer Care Center in Waterford. His research focuses on developing innovative liquid biopsy technologies for cancer detection and monitoring through analysis of circulating tumor DNA. Dr. Patel received his MD and PhD (Molecular Biophysics and Biochemistry) from Yale University, completed an internship at Memorial Sloan-Kettering Cancer Center, and pursued residency in radiation oncology at Harvard Medical School. His postdoctoral research was conducted at the Howard Hughes Medical Institute, Massachusetts General Hospital. His research program centers on developing ultrasensitive diagnostic tools to measure trace amounts of circulating tumor DNA molecules via analysis of genomic and epigenomic signatures. Key areas include early detection of new and recurrent cancers, assessment of treatment response, and tracking genomic changes in tumors over time. His work combines expertise from clinical oncology, molecular biology, chemistry, computer science, and microfluidics. Dr. Patel's publication record shows consistent output with multiple high-impact papers in journals like Nature Biomedical Engineering, Nucleic Acids Research, and JCO Precision Oncology. His recent work has focused on machine learning applications for predicting lymph node metastasis in lung cancer and technical innovations for analyzing ultra-short DNA fragments in liquid biopsies. His scientific contributions have been recognized with awards including the Lungevity Foundation Early Detection Award and Tina's Wish Foundation Research Award. Dr. Patel is actively involved in clinical trials related to cancer detection and treatment, particularly in lung cancer applications. As Medical Director at Lawrence & Memorial Cancer Care Center, he bridges laboratory research with clinical practice, ensuring his diagnostic innovations address real-world clinical needs. His work represents a promising approach to noninvasive cancer detection and monitoring that could significantly impact patient care.

• Quantitative Pathology
• Cancer Biomarkers
• Immunohistochemistry
• +۶ مورد دیگر

David Rimm is the Anthony N. Brady Professor of Pathology in the Departments of Pathology and Medicine (Oncology) at Yale University School of Medicine. He serves as Director of Yale Pathology Tissue Services and the Lab for Quantitative Diagnostics in Anatomic Pathology. Dr. Rimm is a leading researcher in quantitative pathology with over 500 peer-reviewed publications and an H-index of 120. Dr. Rimm completed his MD-PhD at Johns Hopkins University Medical School followed by a Pathology Residency at Yale and a Cytopathology Fellowship at the Medical College of Virginia. His academic journey has positioned him as a key figure in cancer biomarker research and diagnostic development. Dr. Rimm's research primarily focuses on quantitative pathology and cancer biomarker development. His lab pioneered the AQUA method of quantitative immunofluorescence, published in Nature Medicine in 2002, which has been cited over 875 times. His current work involves developing quantitative methods for predicting response and resistance to targeted and immune-therapy in cancer, with particular focus on breast, lung, and melanoma cancers. His lab utilizes high-plex methods including digital spatial profiling for new biomarker discovery and is actively working on standardization of assays for CLIA labs. Analysis of Dr. Rimm's recent publications (2024-2025) reveals a strong focus on quantitative biomarker development for precision oncology, particularly in breast cancer, lung cancer, and melanoma. His work spans from basic method development (quantitative immunofluorescence, AI-driven assessment) to clinical application (companion diagnostics, HER2 testing, antibody-drug conjugate therapies). The publications demonstrate a consistent theme of translating quantitative pathology methods into clinical practice. Lauren Ackerman Lectureship (2008) Starwood Commitment Award (2004) Dr. Rimm's research is supported by grants from the NIH, Breast Cancer Research Foundation (BCRF), and sponsored research agreements from biopharma companies. His lab actively collaborates with industry partners to translate research findings into clinical applications. With over 500 publications and 8 patents, his work has significant impact in the field of quantitative pathology and cancer diagnostics. Dr. Rimm leads the Rimm Lab for Quantitative Diagnostics in Anatomic Pathology, which focuses on developing innovative quantitative approaches to pathology. The lab's work spans from basic research on quantitative methods to clinical translation of diagnostic assays. The lab utilizes tissue microarray technology, high-plex in situ assessment, and quantitative imaging to predict response to cancer therapies.

• Plant-Microbe Interactions
• Molecular Plant Pathology
• Plant Immunity
• +۵ مورد دیگر

Prof. Dr. Gunther Döhlemann serves as a Professor and Principal Investigator at the Institute of Plant Sciences, University of Cologne, where he leads a research group dedicated to molecular plant-microbe interactions. Since joining CEPLAS (Cluster of Excellence on Plant Sciences) in 2014, his work has centered on elucidating communication mechanisms between plants and pathogens, with significant contributions to understanding effector biology and plant immunity. His research program investigates how biotrophic microbial effectors manipulate host immunity and metabolism, particularly focusing on Ustilago maydis effectors in maize systems. Complementary studies explore protease-mediated plant immune signaling and the role of peptide signals in regulated cell death. Current work within CEPLAS examines how plant proteases and microbial protease inhibitors modulate root-microbiome assembly, integrating approaches from synthetic biology and data science to optimize plant performance. Analysis of his publication record reveals consistent focus on maize-smut pathosystems, with recent work expanding into phyllosphere microbiome dynamics and theoretical plant biology. His research demonstrates increasing interdisciplinary integration, combining molecular genetics, metabolomics, and computational approaches to address fundamental questions in plant-pathogen coevolution. Prof. Döhlemann actively mentors early-career researchers, emphasizing curiosity, collaboration, and resilience in scientific inquiry. His laboratory leverages University of Cologne infrastructure including the Plant Metabolism and Metabolomics Facility and Imaging Platform, supporting collaborative projects aimed at translating molecular insights into crop improvement strategies. He identifies developing disease-resistant crops through mechanistic understanding of plant-pathogen interactions as a primary career motivation.

Ulrich Schurrمشاهده پروفایل

استاد پژوهشی

• Plant Physiology
• Plant Phenotyping
• Root System Architecture
• +۵ مورد دیگر

Ulrich Schurr is a Research Professor at the Institute of Bio and Geosciences (IBG) within Forschungszentrum Jülich, Germany, where he leads cutting-edge research in plant-environment interactions using advanced imaging and data science methodologies. His work spans four core research areas: optimizing plant performance through development-metabolism interfaces, plant microbiota networks, synthetic biology, and theoretical plant biology. His research focuses on quantitative phenotyping of plant geometries, root system architecture, and photosynthetic efficiency using non-invasive technologies like MRI, X-ray CT, and sun-induced fluorescence imaging. Key interests include root-soil interactions, nutrient foraging strategies, leaf vein segmentation, and environmental adaptation mechanisms in plants. He develops high-throughput phenotyping platforms for growth and photosynthesis screening, bridging plant physiology with computational analysis. Analysis of his publication record reveals a consistent emphasis on imaging technology development (60% of recent work), root system dynamics (25%), and data-driven phenotyping frameworks (15%). His research demonstrates strong interdisciplinary integration between plant biology, engineering, and data science, with significant contributions to understanding plant responses to heterogeneous environments and nutrient limitations. Professor Schurr actively contributes to Forschungszentrum Jülich's Plant Metabolism and Metabolomics Facility and Imaging Platform, advancing methodologies for 3D root imaging, leaf vein analysis, and photosynthesis monitoring. His work supports CEPLAS (Cluster of Excellence on Plant Sciences) initiatives through data infrastructure development and collaborative research on plant performance optimization.