جست‌وجوی استاد و پژوهشگر

• Genetics
• Genomics
• Molecular Diagnostics
• +۶ مورد دیگر

Curt Scharfe is an Adjunct Associate Professor of Genetics at Yale University's Yale School of Medicine. He holds affiliations with the Center for Biomedical Data Science, Molecular Cell Biology, Genetics and Development, and Molecular Medicine, Pharmacology, and Physiology departments. His academic roles integrate clinical molecular genetics expertise with genomic research. Education includes an MD from the University of Frankfurt (1996), PhD from the University of Wuerzburg (1998), residency in Pediatric Genetics at LMU Munich (2000), postdoctoral work in Biochemistry at Stanford (2005), and Clinical Molecular Genetics Fellowship at Stanford (2014). He is board-certified by the American Board of Medical Genetics (ABMGG) in Clinical Molecular Genetics. Research focuses on genomic technologies, neonatal screening, mitochondrial diseases, and cystic fibrosis. Key projects include developing DNA sequencing methods for dried blood spots and advancing metabolomic panels for newborn screening. He collaborates on guidelines for genetic testing reanalysis and contributes to forensic microhaplotype panels. Recent work includes studies on maternal age effects on newborn metabolic markers and systems biology approaches to hypertension. His lab (Scharfe Lab) innovates in genetic diagnostics and molecular pathology. Honors include Connecticut Innovations Biopipeline Award (2020), Cystic Fibrosis Foundation grants, and Stanford seed funding. He co-authored over 65 peer-reviewed articles and holds patents on molecular diagnostic technologies.

• Immunology
• Hematology
• Transfusion Medicine
• +۳ مورد دیگر

Edward Lee is an Instructor in Laboratory Medicine at Yale School of Medicine, with appointments in Clinical Fellow roles in Laboratory Medicine. His research focuses on immunohematology, blood group systems, and the application of advanced diagnostics like flow cytometry and machine learning in clinical settings. He is affiliated with the Kleinstein Lab, emphasizing translational research in hematology and transfusion medicine. Education: MD from Albert Einstein College of Medicine (2020), PhD in Immunology from University of Glasgow (2018), BA in Biology from The College of New Jersey (2012). Research interests include antibody responses to vaccines, hemolytic disorders, and improving diagnostic accuracy in blood group testing. His work addresses challenges in transfusion safety, rare blood antigen management, and clinical applications of automation in hematology. Recent studies explore SARS-CoV-2 antibody dynamics and the impact of storage conditions on blood products. Publications span topics like therapeutic plasma exchange outcomes, RhD antigen variability, and AI-driven analysis of clinical data. His work bridges basic science and clinical practice, with a focus on advancing diagnostic precision and patient care in hematology. No scientific awards are listed. Edward Lee has no recorded advisees or grant leadership positions highlighted in the provided data. He collaborates with the Kleinstein Lab on projects involving T cell dynamics and computational biology.

Darren Henrichsمشاهده پروفایل

استادیار

• Dinoflagellate Ecology
• Population Genetics
• Phylogenetics
• +۵ مورد دیگر

Dr. Darren Henrichs is an Instructional Assistant Professor at Texas A&M University, affiliated with the Department of Oceanography. His research focuses on dinoflagellate ecology, population genetics, and phylogenetics, with a particular interest in harmful algal blooms and their environmental impacts. He holds a Ph.D. in Biology from Texas A&M University (2012) and a B.S. in Biology from Texas Lutheran University (2004). Research interests include the genetic and ecological dynamics of dinoflagellates, specifically studying species like Karenia brevis and Dinophysis , which cause harmful algal blooms. His work integrates imaging technologies, genomics, and computational modeling to better understand bloom initiation, community responses to environmental disturbances, and species distribution patterns in marine ecosystems. Publications highlight a focus on harmful algal bloom prediction, microplastic detection via imaging cytometry, and the effects of climate events (e.g., storms, hypoxia) on phytoplankton communities. Methodological innovations include applying convolutional neural networks and individual-based models for early warning systems and bloom dynamics analysis. No scientific awards are listed, though his contributions to marine ecological research are evident through his extensive publication record. He has taught multiple courses in biology and oceanography, including introductory biology and taxonomy of flowering plants. His roles include postdoctoral research associate at Texas A&M (2012–present) and laboratory teaching assistantships spanning 2005–2012. Laboratory and fieldwork contributions involve collaborations with institutions like the National Center for Genome Resources and the Woods Hole Oceanographic Institution, emphasizing interdisciplinary approaches to marine environmental challenges.

Wayel Abdulahadمشاهده پروفایل

استادیار

• Immunology
• Rheumatology
• Autoimmune Diseases
• +۳ مورد دیگر

Dr. Wayel Abdulahad is an Assistant Professor and Principal Investigator at the Faculty of Medical Sciences, University of Groningen, leading the Translational Immunology Groningen (TRIGR). He also heads the Flow Cytometry Core Facility. His research focuses on immunology and rheumatology, particularly autoimmune diseases such as Granulomatosis with Polyangiitis, polymyalgia rheumatica, and systemic lupus erythematosus. Key areas include immune cell regulation, cytokine signaling (e.g., IL-6, GM-CSF), and therapeutic targets like NF-κB and Kv1.3 channels. Recent publications (2024–2025) highlight work on B cell depletion therapy, T cell activation in cancer, and anesthetic impacts on NK cells. Research interests encompass clinical immunology, inflammation mechanisms, and molecular pathways in autoimmune conditions. He has contributed to over 190 publications, with 6 notable prizes. Collaborations include studies with colleagues like Rutgers and Heeringa on experimental and translational medicine. Advising and grants involve supervision of 11 works (Scopus data). His lab, TRIGR, integrates clinical and experimental research, while the Flow Cytometry Core Facility supports advanced cellular analysis.

Jan Jacob Schuringaمشاهده پروفایل

استاد

• Hematology
• Oncology
• Stem Cell Biology
• +۳ مورد دیگر

Prof. Jan Jacob Schuringa is a Professor of Experimental Hematology at the Faculty of Medical Sciences, University Medical Center Groningen (UMCG). His research focuses on hematopoietic and leukemic stem cells, particularly in the context of acute myeloid leukemia (AML). He holds roles on the Scientific Advisory Boards of the Dutch Cancer Society and Worldwide Cancer Research. Schuringa's work contributes to UN Sustainable Development Goals related to good health and well-being. Research interests: Hematopoietic stem cell biology, leukemic stem cell pathogenesis, AML treatment strategies, and molecular oncology. Key achievements: Recipient of the UMCG Innovation Prize (2023), ERC Consolidator Grant (2012), and Swammerdam Prize (2013). Activities: Keynote speaker at international symposia, organizer of EMBO workshops, and frequent presenter at global hematology conferences. His lab develops prognostic indices for AML survival, investigates leukemic cell mechanics, and explores therapeutic targets using advanced technologies like mass cytometry.

• Haematology
• Thrombosis and Haemostasis
• Genetic Disorders
• +۳ مورد دیگر

Marie-Christine Morel-Kopp is a Research Fellow in the Department of Haematology at the University of Sydney's Northern Clinical School, affiliated with Royal North Shore Hospital. Her work focuses on platelet and coagulation disorders, particularly genetic variants such as GFI1B and DIAPH1, and their impact on cardiovascular health. She has pioneered diagnostic methods like whole blood impedance aggregometry for heparin-induced thrombocytopenia (HIT) and contributed to understanding inherited platelet disorders through collaborative research initiatives like the Sydney Platelet Group. Education: She earned her PhD in 1990 from Pierre et Marie Curie University in Paris, studying anti-GP IIbIIIa monoclonal antibodies under Dr. Cecile Kaplan. Postdoctoral training with Dr. Nelly Kieffer in Luxembourg investigated platelet integrins and signaling pathways. Research Interests: Her studies encompass genetic mutations (e.g., GFI1B, DIAPH1) linked to thrombocytopenia and bleeding disorders, alongside the physiological effects of stress and bereavement on cardiovascular risk. She also explores global coagulation assays and their application in clinical settings, including veterinary medicine and pregnancy. Publications Trends: Her recent work emphasizes genetic diagnostic tools, functional testing for HIT, and mechanistic studies on platelet dysfunction. Key themes include platelet activation pathways, NMDA receptor roles in thrombosis, and sex-specific differences in coagulation profiles. Awards: Prof Heimburger Award (2014) Grants: Haemophilia Foundation Australia/Research Support (2018), CSL Behring GmbH/Prof Heimburger Award (2014) Advising & Grants: Collaborates extensively with researchers like Dr. Chris Ward and Dr. David Rabbolini. Her grants fund genetic testing pathways for undiagnosed bleeding disorders and validate identified variants. She has led studies on omega-3 fatty acids' effects on platelet function and cardiovascular risk mitigation. Labs/Teams: Co-founded the Northern Blood Research Centre to advance basic and translational haematology research. Active in interdisciplinary teams, including the Sydney Platelet Group and the ISTH SSC Subcommittee on Platelet Immunology.

• Cardiovascular Disease
• Biomarker Discovery
• Metabolic Pathways
• +۳ مورد دیگر

Dr Steve Vernon is a Senior Research Fellow at the Northern Clinical School within the University of Sydney's Faculty of Medicine and Health. His research focuses on coronary artery disease (CAD), particularly in patients without conventional modifiable risk factors (SMuRFs). Vernon leads projects integrating omics technologies, biomarker discovery, and advanced imaging to identify novel mechanisms underlying CAD. He co-developed the BioHEART-CT cohort study to investigate cardiovascular biomarkers using imaging-quantified disease burden. Vernon has secured grants from the National Heart Foundation and Sydney Catalyst, and his work spans clinical epidemiology, precision medicine, and translational cardiology. His research emphasizes understanding non-traditional risk factors, including immunological profiles (e.g., IgE sensitization) and lipidomic signatures, while addressing sex-based disparities in CAD outcomes. Vernon collaborates with global institutions like the SWEDEHEART registry and DANAMI-3 studies to analyze clinical outcomes in high-risk populations. His recent work highlights the utility of digital health tools, such as health digital twins, for personalized cardiovascular care. Key Projects: BioHEART-CT cohort, SMuRFs clinical pathway development Technologies: Mass cytometry, metabolomics, machine learning Focus Areas: Biomarker validation, precision medicine, atherosclerosis mechanisms Publications highlight advancements in lipidomic risk scores, mitochondrial superoxide measurement, and immunological profiling of CAD patients. Vernon’s work bridges basic science and clinical practice, aiming to improve risk stratification and therapeutic strategies for CAD. Grants: National Heart Foundation Postdoctoral Fellowship (2022) Sydney Catalyst Pilot Grant for EMR data integration (2019) Labs/Teams: Collaborates with the Cardiovascular Biomarker Group and Bioinformatics Core at Sydney Medical School

Shai Gorskyمشاهده پروفایل

مدرس ارشد

• Bayesian Nonparametrics
• Multi-Scale Modeling
• Social Science

Shai Gorsky is a Senior Lecturer at the University of Massachusetts Amherst, based at the Newton Mount Ida Campus in the School of Design. He holds a PhD in Statistical Science from Duke University and conducts research in Bayesian nonparametrics, multi-scale modeling, and social science applications. His published work includes developing statistical methods for multivariate dependence testing, flow cytometry analysis, and modeling cardiac systems. Dr. Gorsky teaches courses in statistical methods and their applications in design-related fields.

Douglas Brubakerمشاهده پروفایل

استادیار

• Systems Biology
• Host-Microbiome Interactions
• Immunology
• +۴ مورد دیگر

Douglas Brubaker, PhD is an Assistant Professor in the Department of Pathology at Case Western Reserve University School of Medicine , with affiliations in the Center for Global Health and Diseases and the Developmental Therapeutics Program of the Case Comprehensive Cancer Center. His lab employs computational and experimental systems biology approaches to study host-microbiome interactions and immune cell biology, focusing on female reproductive health conditions such as infertility, endometriosis, and microbiome roles in estrogen/progesterone signaling. Research areas include Systems Immunology (modeling immune responses), Microbiome Pharmacology (therapeutic potential of microbiome constituents), and Preclinical Translation Modeling (bridging experimental systems to human contexts). Education: PhD in Systems Biology and Bioinformatics from Case Western Reserve University School of Medicine. The lab emphasizes predictive modeling of complex biological systems using multi-omics data integration and computational hypothesis generation. Recent work includes studies on vaginal microbiome impacts in fertility, inflammatory bowel disease mechanisms, and cross-species translation of Alzheimer’s and diabetes comorbidities. Collaborations span neurodegenerative disorders, musculoskeletal interactions, and sepsis research.

Peter O'Tooleمشاهده پروفایل

استاد

• Fluorescence Imaging
• Flow Cytometry
• Microscopy Technology Development
• +۳ مورد دیگر

Dr. Peter O'Toole is Head of Imaging and Cytometry and a Professor in the Department of Biology at the University of York. He leads the Imaging and Cytometry Laboratory, a top European facility equipped with state-of-the-art equipment from collaborators like Carl Zeiss and Beckman Coulter. His research focuses on microscopy technology development, with expertise in fluorescence imaging, flow cytometry, and super-resolution techniques. He holds grants from Wellcome Trust, BBSRC, and others, including a £954k Wellcome Trust grant for hyperspectral imaging technology. O'Toole is also Vice President of the Royal Microscopical Society and chairs major microscopy conferences. His educational background includes a PhD in Cell Biophysics from the University of Essex (1998) and a BSc from the same institution (1994). Research interests include developing imaging tools for biomedical applications, immunometabolism, and live-cell analysis. He collaborates internationally on projects like PHENOSPOT and the UK Coronavirus Immunology Consortium. His lab supports cutting-edge projects such as spatial omics and therapeutic vaccine development for leishmaniasis. O'Toole organizes microscopy courses and has pioneered facility meetings for the microscopy community. Grants total over £20M, with recent focuses on deep learning in imaging, immune system metabolism, and hyphae characterization. Key roles include Director of the Bioscience Technology Facility and membership in grant panels for BBSRC, MRC, and Wellcome Trust. His team includes Senior Technicians and PhD students like Laura Wiggins, advancing imaging technologies and collaborative research.

• Statistics
• Data Science
• Machine Learning
• +۳ مورد دیگر

Qian Zhao is an Assistant Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. Their research focuses on statistical methodology, high-dimensional data analysis, and applications in computational biology. They are affiliated with the Lederle Graduate Research Tower (LGRT 1444) and actively contributes to interdisciplinary programs in data science and biostatistics. Dr. Zhao has been recognized for award-winning teaching and mentoring, including initiatives like near-peer mentoring in data science. Their work bridges theoretical statistics with practical applications in genomics and biomedical research. Education & Background: Details about educational background are not explicitly provided in the text, but their academic focus aligns with advanced statistical training typical for such roles. Research Interests: Dr. Zhao's research emphasizes developing statistical methods for high-dimensional data, with applications in genomics and computational biology. Their work often involves bootstrap methods, asymptotic theory, and interactive visualization tools for biological data analysis. Recent projects include exploratory gene ontology analysis and alignment techniques for cytometry data. Grants & Advising: Specific grants or advising records are not listed in the provided text. However, their involvement in mentoring programs and interdisciplinary initiatives suggests active engagement in student supervision and collaborative research projects. Labs/Teams: No specific lab or team affiliations are mentioned, but their research likely intersects with computational and biological science groups at UMass Amherst.

• Machine Learning
• Biomedical Informatics
• Medical Genomics
• +۳ مورد دیگر

Prof. Gunnar Rätsch is a Full Professor in the Department of Computer Science at ETH Zürich and Deputy Head of the Institute for Machine Learning. His research focuses on developing machine learning methods for biomedical applications, including genomics, medical imaging, and clinical decision support systems. He specializes in integrating multi-omics data, spatial transcriptomics, and time-series analysis to address challenges in precision medicine and critical care. His work emphasizes ethical AI frameworks, algorithmic fairness, and robust clinical prediction models. Key research areas include: Deep learning for medical imaging and histopathology Single-cell analysis and tumor profiling Reinforcement learning for treatment optimization in ICUs Multimodal data integration for clinical applications Recent work highlights advancements in: Standardizing single-cell cytometry readouts for clinical use Developing foundation models for critical care time-series analysis Creating interpretable survival models for ICU patients His contributions span foundational machine learning theory and applied healthcare technologies, with a focus on translational research to improve clinical outcomes. Current projects include the Tumor Profiler Study for multi-omic tumor analysis and ethical frameworks for clinical AI systems.

• Proteomics
• Biomarker Discovery
• Cancer Research
• +۳ مورد دیگر

Dr. Amanda Khoo is a Researcher at the Proteomics Plattform D-HEST (ETH Zurich, Switzerland). Her work bridges proteomics , multiomics data analysis , and cancer research , with a focus on prostate cancer , head and neck cancer , and triple-negative breast cancer . She specializes in non-invasive biomarker discovery and technical innovation in proteomics platforms. Key institutions: ETH Zurich , Proteomics Plattform D-HEST. Core research areas: proteomics , biomarker development , cancer immunology , machine learning , extracellular vesicles . Her recent publications highlight droplet-based proteomics for rare cell analysis, pan-cancer glycoproteomic atlases , and standardized protocols for multi-center precision medicine studies. She also explores EV-derived biomarkers and imaging-matched proteomic signatures for tumor aggressiveness. Collaborations span prostate cancer and glioblastoma research, with technical contributions to mass spectrometry and bioinformatics tools .

• Microfluidics
• Cellular Biophysics
• Extracellular Vesicle Analysis
• +۳ مورد دیگر

Dr. Mohammad Asghari is a Researcher in the Institute for Chemical and Bioengineering (ICB) at ETH Zürich, affiliated with the Professorship for Biochemical Engineering. His work focuses on advancements in microfluidic technologies for biomedical applications, particularly in cell mechanics, extracellular vesicle analysis, and high-throughput diagnostic systems. Key contributions include developing viscoelastic deformability cytometry platforms and novel microfluidic devices for cell isolation and biomarker detection. Research interests span biophysics, nanotechnology, and lab-on-a-chip systems with applications in oncology and immunology. Recent publications emphasize ultra-high-throughput mechanical phenotyping of liquid/solid biopsies and direct isolation of extracellular vesicles from blood. His lab designs innovative biomimetic materials and diagnostic tools, addressing unmet needs in precision medicine and translational research. Academic contributions include interdisciplinary collaborations on extracellular RNA research and nanoconfinement effects on cellular functions. He holds a position at ETH Zürich’s Department of Chemistry and Applied Biosciences, contributing to cutting-edge research at the interface of engineering and life sciences.

Stephen Huangمشاهده پروفایل

استاد

• Cybersecurity
• Intrusion Detection
• Data Science
• +۳ مورد دیگر

Stephen Huang is Professor of Computer Science at the University of Houston's College of Natural Sciences and Mathematics. He directs the Center for Cybersecurity Research and has held administrative roles including Department Chairman and Director of Graduate Studies. He received his PhD in Computer Science from the University of Texas-Austin and served as National Research Council-NASA Senior Research Associate at NASA Goddard Space Flight Center. His 40+ year career encompasses cybersecurity research, algorithm design, and academic leadership. Research focuses on intrusion detection systems, malware analysis, network security, and applied algorithms. His work integrates machine learning with security applications, particularly in anomaly detection and behavioral analysis. Recent projects include NSA-funded research on automated intrusion detection through metadata traffic analysis. Publications demonstrate progression from foundational algorithms to advanced AI applications in security. Recent articles focus on VPN detection, Android malware analysis, and large language model interpretability, consistently applying computational theory to cybersecurity challenges. He leads the GAANN Fellowship Program in Cybersecurity and Research Experience for Undergraduates (REU) initiatives. His laboratory develops practical security solutions through collaborations with government agencies and industry partners.