جست‌وجوی استاد و پژوهشگر

• Bioinformatics
• Microbiome
• Gut Microbiota
• +۷ مورد دیگر

Greg Caporaso is a Professor in the Department of Biological Sciences and the Pathogen & Microbiome Institute (PMI) at Northern Arizona University. His work bridges computational biology and microbiome science, with a strong focus on developing and applying bioinformatics tools for microbial community analysis. His research interests are centered on the human microbiome, particularly the oral and gut microbiomes, and their roles in health and disease. Key areas include bioinformatics , microbiome dynamics , gut and oral microbiota , cancer microbiome interactions , and multi-omics data integration . He is best known for his contributions to the QIIME (Quantitative Insights Into Microbial Ecology) platform, a foundational tool in microbiome research. The recent publications highlight a strong trend in linking microbiome profiles to diseases such as colorectal cancer, endometrial cancer, and metabolic conditions. His work increasingly involves large-scale epidemiological datasets and population-level microbiome analyses, demonstrating a shift toward translational and public health applications. Although no specific awards are listed in the provided text, his high h-index (244) and extensive publication record in top-tier journals reflect significant scholarly impact. His collaborative network spans multiple institutions and disciplines, underscoring his role as a key figure in the microbiome research community. Dr. Caporaso is actively involved in scholarly output and research leadership. While student mentorship is not explicitly detailed, his professorial role and research activity suggest active advising. He also contributes to science education, integrating microbiome data science into higher education curricula. He is a core member of the Pathogen & Microbiome Institute (PMI) at NAU, a multidisciplinary research center focused on infectious diseases and microbial ecology. This institute serves as the primary hub for his collaborative and computational research efforts.

Neil Carragherمشاهده پروفایل

استاد

• Drug Discovery
• Phenotypic Screening
• Oncology
• +۹ مورد دیگر

Neil Carragher is a Professor of Drug Discovery at the Institute of Genetics and Cancer , University of Edinburgh. He serves as Director of Science for Edinburgh Cancer Research and Associate Director of Cancer Research UK Scotland Centre. His work bridges industry and academia, focusing on phenotypic screening , machine learning , and oncology drug development . Education: B.Sc. in Cell and Immunobiology, University of Aberdeen (1992) Ph.D. at Yamanouchi Research Institute, Oxford (1996) Neil’s research emphasizes high-content imaging , kinetic assays , and multi-omics integration to enhance clinical predictivity in drug discovery. His articles span glioblastoma , breast cancer , and drug repurposing , leveraging AI/ML and 3D disease models . Notable scientific awards include Fellowship of the Royal Society of Edinburgh He advises PhD students such as Mungo Harvey and Prasad Palani Velu , and leads the Edinburgh Cancer Discovery Unit and Edinburgh Phenotypic Assay Centre , integrating automated robotics and novel compound libraries .

• Mathematics
• Statistics
• Computational Biology
• +۲ مورد دیگر

Hao Huang is a Tutor at the School of Mathematics and Statistics , University of Sydney, and a recent MPhil graduate (2023) . His work focuses on computational methods in bioinformatics and machine learning. His research interests include: Computational biology Feature selection in single-cell RNA sequencing Integrative analysis of multimodal omics data Recent publications highlight his contributions to: Deep learning frameworks for feature selection Multi-task learning strategies for omics data

Qingling Duanمشاهده پروفایل

دانشیار

• Bioinformatics
• Computational Biology
• Genomics
• +۶ مورد دیگر

Qingling Duan is an Associate Professor and Queen's National Scholar in Bioinformatics at Queen's University, jointly appointed in the School of Computing and Department of Biomedical & Molecular Sciences. She leads the Computational Genomics Laboratory, focusing on genetic and epigenetic mechanisms in multifactorial diseases. PhD in Human Genetics, McGill University BSc in Biology, McGill University Her research integrates genomics, transcriptomics, and epigenomics to investigate gene-environment interactions in asthma, COPD, and drug response variability. Key areas include: Multi-Omics Data Integration Environmental Exposure Effects Pharmacogenomics Microbiota-Host Interactions Developmental Disease Trajectories Recent publications examine epigenetic aging, human milk microbiota, and prenatal exposure effects. Her work has appeared in leading journals like Nature Communications and American Journal of Respiratory and Critical Care Medicine. Queen’s National Scholar Award in Bioinformatics CIHR Grant Recipient International Collaboration with CHILD Cohort Study Dr. Duan advises numerous graduate students and postdocs in bioinformatics and biomedical research. Her lab collaborates with Kingston General Hospital, Hotel-Dieu Hospital, and the IMPACTT network.

Arnaud Gaigherمشاهده پروفایل

پژوهشگر

• Evolutionary Immunogenomics
• Immunogenomics
• Evolutionary Biology
• +۳ مورد دیگر

Arnaud Gaigher serves as a Postdoctoral Researcher at the University of Hamburg within the Faculty of Mathematics, Computer Science and Natural Sciences. He is formally affiliated with the Department of Biology and operates under the Institute of Animal Cell and Systems Biology (Institut für Zell- und Systembiologie der Tiere), specifically within the Evolutionary immunogenomics research group led by Prof. Dr. Tobias Lenz. His workspace is located at Martin Luther King Square 3, 20146 Hamburg. Dr. Gaigher's research centers on Evolutionary Immunogenomics , investigating genomic mechanisms driving immune system adaptation across species. This work integrates comparative genomics , population genetics , and functional immunology to decode evolutionary pressures on host defense systems. His institutional placement within Animal Cell and Systems Biology further indicates methodological expertise in cellular phenotyping and multi-omics data integration for evolutionary questions. No scientific awards or honors were documented in the source material. While the provided text does not specify student supervision activities or externally funded research grants, Dr. Gaigher's postdoctoral position implies active collaboration within Prof. Lenz's research team on ongoing immunogenomics projects. His email contact (gaigher@evolbio.mpg.de) suggests institutional linkage with the Max Planck Institute for Evolutionary Biology. He is embedded in the Evolutionary immunogenomics laboratory at the Institute of Animal Cell and Systems Biology, which maintains research infrastructure for high-throughput genomic analyses and evolutionary model systems. The group's work intersects with broader university initiatives in molecular ecology and host-microbe interactions.

Robert Clarkeمشاهده پروفایل

استاد

• Breast Cancer
• Systems Biology
• Drug Resistance
• +۵ مورد دیگر

Robert Clarke serves as Executive Director of The Hormel Institute and Professor in the Department of Biochemistry, Molecular Biology and Biophysics at the University of Minnesota's College of Biological Sciences. An internationally recognized breast cancer researcher, he leads multinational studies in collaboration with Mayo Clinic, University of Edinburgh, and Virginia Tech. His research focuses on breast cancer systems biology , specializing in endocrine responsiveness , drug resistance mechanisms , and multi-omics data integration . Clarke's laboratory employs genomic, transcriptomic, proteomic, and metabolomic approaches combined with machine learning to build predictive models of therapy resistance. Key research areas include the unfolded protein response, cell death mechanisms (apoptosis, ferroptosis, necroptosis), and signaling networks involving IRF1, NFkB, XBP1, and GRP78. His publication trends reveal sustained leadership in translational breast cancer research , with recent emphasis on radiogenomics, maternal dietary impacts, and social determinants of cancer. Early work established foundational hormone-resistant breast cancer models now widely used in the field. Fellow of the American Association for the Advancement of Science Fellow of the Royal Society of Chemistry, Medicine, and Biology NCI-Sigma Xi Distinguished Lecturer (2012-2015) Senior Editor for Cancer Research journal Former NCI Center for Cancer Systems Biology leader (2010-2016) Clarke has secured significant NCI funding including the In Silico Research Center of Excellence (2009-2014). His mentoring extends through leadership roles as Georgetown University's Associate Vice President for Research (2007-2019) and Co-Director of the Breast Cancer Program at Lombardi Comprehensive Cancer Center. Current collaborations integrate engineering, biostatistics, and clinical oncology across multiple institutions. His team maintains active laboratory facilities at The Hormel Institute focusing on translational models of endocrine resistance and tumor dormancy.

Vessela N. Kristensenمشاهده پروفایل

استاد

• Genetics
• Genomics
• Breast Cancer Research
• +۳ مورد دیگر

Vessela N. Kristensen is a Professor at the Department of Medical Genetics , Institute of Clinical Medicine, Oslo University Hospital. Her research focuses on inherited genetic variation in breast and ovarian cancers, particularly how single nucleotide polymorphisms (SNPs) and copy number variations (CNVs) influence tumor susceptibility, clinical presentation, treatment response, and gene regulation. Leadership: Head of the Kristensen Research Group at Oslo University Hospital Key collaborations: BRIDGES sequencing dataset, international consortia Research interests span: Cancer Genetics: Identifying germline variants affecting tumor biology and drug response Epigenetics: Mechanisms linking enhancer methylation to transcriptional networks Functional Genomics: Exploring gene-environment interactions in cancer risk Clinical Applications: Developing polygenic risk scores for personalized prevention Recent publications highlight her work on: BRCA1/2 variant classification using large-scale case-control data Tumor immunogenomics (CTLA4 expression as a prognostic biomarker) Computational models for predicting treatment outcomes in Luminal B cancer Epigenetic drivers of hormone-dependent breast cancer phenotypes Spatial transcriptomics applications in tumor heterogeneity analysis Key contributions include integrating multi-omics approaches to understand cancer progression and developing tools for molecular risk stratification in clinical settings.

Jonathan Stokesمشاهده پروفایل

استادیار

• Machine Learning
• Antibiotic Discovery
• Computational Biology
• +۳ مورد دیگر

Jonathan Stokes is an Assistant Professor at McMaster University in the Department of Biochemistry & Biomedical Sciences , where he leads the Stokes Lab and serves as a member of the Michael G. DeGroote Institute for Infectious Disease Research . He also co-founded the AI drug discovery startup Stoked Bio , which commercializes his research breakthroughs. Stoked Bio CEO Jeff Skinner Co-founder Chris Sinclair Research Interests : Stokes specializes in machine learning applications for antibiotic discovery , targeting drug-resistant pathogens like Acinetobacter baumannii . His work combines computational biology , bacterial metabolism , and deep learning to identify novel antimicrobial compounds and synergistic drug combinations. Scientific Contributions : His 15 most recent publications focus on AI-guided antibiotic design , metabolism-driven drug lethality , and explainable deep learning frameworks . Articles highlight trends in generative AI for synthesizable antibiotics, fitness cost exploitation in resistance mechanisms, and multi-omics integration for target identification. Teaching & Mentorship : Stokes teaches graduate courses in Artificial Intelligence in Healthcare and Antibiotic Discovery , while mentoring students like Autumn Arnold , Denise Catacutan , and Gary Liu in both academic and industrial contexts at Stoked Bio.

• Rheumatology
• Immunology
• Genetics
• +۳ مورد دیگر

Professor Liye Chen serves as a Career Development Fellow funded by Versus Arthritis and Principal Investigator at the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science (NDORMS), University of Oxford. He leads the Chen group focused on Human Immunology in Inflammation, collaborating with Professor Paul Bowness and Professor Richard Williams. His medical training was completed at HuaZhong University of Science and Technology, followed by a Versus Arthritis-funded PhD (2009-2013) at the University of Oxford under Paul Bowness. Chen's research centers on immunogenetics of rheumatic diseases, particularly Ankylosing Spondylitis (AS). His seminal work elucidated HLA-B*27/ERAP1 interactions in antigen presentation, identified novel Th17-regulating microRNAs and epigenetic regulators (BRPF1/2), and defined unique T-cell phenotypes in AS patients. He pioneers genetics-led immunological interrogation to discover therapeutic targets for immune-mediated diseases, integrating molecular immunology with translational approaches. His publication portfolio demonstrates consistent focus on spondyloarthritis pathogenesis, HLA immunobiology, and therapeutic target validation, with increasing integration of computational methods for drug discovery across immune disorders. Key scientific recognition includes: Versus Arthritis PhD Fellowship Versus Arthritis Career Development Fellowship As Principal Investigator, Chen directs Versus Arthritis-funded research programs investigating genetic mechanisms of inflammatory arthritis. His group leverages human immunology approaches to translate genetic associations into biological mechanisms and therapeutic opportunities, with emphasis on T-cell immunology and antigen presentation pathways. The Chen group operates within NDORMS' Human Immunology in Inflammation research theme, maintaining active collaboration with the Kennedy Institute of Rheumatology and utilizing resources from the ULTRA-DD consortium for target validation in spondyloarthritis.

Konrad Adenمشاهده پروفایل

استاد

• Immunometabolism
• Inflammatory Bowel Disease (IBD)
• Metabolomics
• +۵ مورد دیگر

Konrad Aden is a Professor at Kiel University and a senior physician at the Department of Internal Medicine I, University Medical Center Schleswig-Holstein (UKSH). He leads the Junior Research Group for Immunometabolism of Intestinal Inflammation and Systems Immunology at the Institute of Clinical Molecular Biology (IKMB), focusing on translating findings from clinical research and basic science into innovative IBD diagnostics and therapies. Key roles: Principal Investigator (Project 7), BMBF Juniorverbund Try-IBD coordinator Research areas: Immune-metabolic crosstalk in IBD, microbiome therapeutics, tryptophan and serine metabolism, systems immunology His publications address metabolomic signatures in IBD, microbial interactions in chronic inflammation, and immune signaling pathways like cGAS-STING and JAK-STAT. Awards include the Else Kröner Clinician Scientist Professorship. He collaborates extensively with working groups at IKMB and employs preclinical models (organoids, DSS colitis) alongside clinical biobanks for translational research.

Adam Butterworthمشاهده پروفایل

استاد

• Genomics
• Molecular Epidemiology
• Cardiometabolic Diseases
• +۳ مورد دیگر

Professor Adam Butterworth from the University of Cambridge 's Department of Public Health and Primary Care leads a collaborative international research group focusing on genomics , multi-omics , and cardiometabolic diseases . Affiliated with the Cardiovascular Epidemiology Unit, his work emphasizes Large-scale population datasets Reproducible research methodologies Open science initiatives Research interests span genetic risk prediction , molecular epidemiology , and biomarker development for conditions like coronary artery disease, diabetes, and neurovascular disorders. His group specializes in Mendelian randomization techniques Polygenic score optimization Proteogenomic analysis Metabolic pathway modeling Scientific contributions include Developing flashfmZoom for GWAS fine-mapping Advancing multi-ancestry polygenic risk scores Exploring gene-environment interactions in cardiometabolic health Characterizing inflammatory protein pathways in immune-mediated diseases Contact: asb38@cam.ac.uk | Google Scholar: Profile

• Infectious Disease Immunology
• Microbiome Science
• HIV Pathogenesis
• +۳ مورد دیگر

Jennifer Fulcher is a faculty investigator at the University of California, Los Angeles, holding an appointment within the David Geffen School of Medicine. Her research integrates infectious-disease immunology, microbiome science, and molecular epidemiology to understand host–pathogen interactions in HIV, SARS-CoV-2, and substance-use-associated diseases. Education & Training: No explicit educational details were provided in the source text. Research Focus: Mechanisms by which the oral and gut microbiome drive systemic inflammation in HIV. Multi-dimensional saliva-based diagnostics for SARS-CoV-2 infection, infectivity, and immunity. Innate immune crosstalk (NK cell–monocyte interactions) in severe COVID-19. Impact of alcohol- and methamphetamine-use disorders on gut microbiota and liver inflammation. Mucosal immune responses to STIs (Neisseria gonorrhoeae, Chlamydia trachomatis) in key populations. Machine-learning approaches leveraging omics data to predict COVID-19 severity. Publication Trends: From 2021 to 2025, Fulcher’s output has concentrated on translational studies of infection and immunity, with a pivot during 2020-2022 toward COVID-19 pathogenesis, vaccination, and diagnostics. Recent work (2024-2025) returns to HIV-microbiome interactions while expanding into substance-use immunology. Scientific Awards: No specific awards, fellowships, or honors were mentioned in the provided text. Collaborations & Teams: Fulcher collaborates extensively with senior UCLA faculty (Aldrovandi, Yang, Gorbach, Rimoin) and cross-institutional consortia, indicating active participation in multi-disciplinary teams spanning microbiology, immunology, and clinical epidemiology.

• Genetic Epidemiology
• Neuro-psychiatric Traits
• Multi-omics Research
• +۷ مورد دیگر

Dr. Najaf Amin is an Associate Professor in Molecular Epidemiology at the Nuffield Department of Population Health, University of Oxford. She holds advanced degrees including an MSc, DSc, and PhD in genetic epidemiology from Erasmus University Rotterdam, Netherlands (2011). Research Interests: Identifying biomarkers for neuro-psychiatric traits using integrative multi-omics (genomics, epigenomics, transcriptomics, proteomics, metabolomics) and brain-based data Investigating causal relationships via Mendelian Randomization Exploring gut microbiome interactions in mental health and aging Developing aging clocks and studying their health implications across populations Article Trends: Recent work focuses on UK Biobank data ethics, metabolomic influences on depression, and multi-omics approaches to neurodegenerative disease biomarker discovery. The research spans molecular epidemiology, public health, and translational neuroscience. Research Groups: Dr. Amin contributes to studies on aging clocks and the depression-dementia risk nexus within the University of Oxford's Molecular Epidemiology department.

Alejo J Nevado-Holgadoمشاهده پروفایل

دانشیار

• Artificial Intelligence in Healthcare
• Bioinformatics
• Mental Health Informatics
• +۶ مورد دیگر

Alejo J Nevado-Holgado is an Associate Professor at the University of Oxford, holding joint appointments in the Department of Psychiatry and the Big Data Institute. He is a key member of Dementia Research Oxford and co-heads the Computational and Molecular Neuroscience laboratory alongside Professor Noel Buckley. His interdisciplinary research team comprises approximately 20 scientists specializing in AI, biochemistry, and bioinformatics, working at the intersection of computational methods and neurological health. Dr. Nevado-Holgado completed his PhD in the University of Bristol, Department of Computer Science, under the supervision of Dr. Rafal Bogacz and Dr. John Terry. His doctoral research focused on mathematical modeling, signal analysis, and machine learning applied to the study of the basal ganglia and Parkinson's disease. Following experimental training at Cambridge, he shifted his focus to applying machine learning and bioinformatics to neurodegeneration research, particularly investigating biomarkers and metabolic networks in Alzheimer's and Parkinson's diseases. Dr. Nevado-Holgado's research program centers on leveraging artificial intelligence and bioinformatics to transform mental health care and drug discovery. His laboratory develops and applies state-of-the-art iPSC, AI, and bioinformatic techniques to better understand neurological disorders. The team's work spans multiple domains including: Neural networks applied to genetics, transcriptomics, proteomics, and iPSC cell microscopy Analysis of Electronic Health Records using natural language processing Integration of biotech laboratory data with real-world clinical evidence Development of personalized medicine approaches and drug repurposing strategies High-performance computing solutions for large-scale biomedical data analysis His recent publication record demonstrates a strong focus on applying AI to mental health diagnostics, neurodegenerative disease biomarkers, and multi-omics data integration. Notable trends include the increasing application of large language models to clinical text analysis, the development of proteomic aging clocks, and the integration of environmental and genetic factors in understanding aging and mortality. His work consistently bridges computational innovation with clinical relevance, seeking to detect neurological disorders in their prodromal stages when interventions could be most effective. Dr. Nevado-Holgado leads or participates in multiple significant research initiatives: Virtual Brain Cloud (EU H2020): €1.5 million European consortium investigating computational simulations for Alzheimer's diagnosis Microbiome in depression (NIH U19): $27 million consortium studying microbiome's role in depression Metabolomics in dementia (MOVE-AD): Consortium investigating metabolomics of dementia Industry projects: £900,000 in funding for applying neural networks to genomics data Blood-brain axis of Alzheimer's disease (AMP-AD): $330,000 project investigating protein levels in Alzheimer's His laboratory team includes lead scientists Laura Winchester (bioinformatics) and Andrey Kormilitzin (AI), along with researchers specializing in genetics, AI microscopy, AI NLP, AI imaging, and iPSC models. The lab actively recruits additional researchers in AI NLP and bioinformatics, reflecting the growing scope of their computational neuroscience work.

Mohammad Samsul Alamمشاهده پروفایل

پژوهشگر ارشد

• Biostatistics
• Bioinformatics
• Longitudinal Data Analysis
• +۴ مورد دیگر

Mohammad Samsul Alam is a Postdoctoral Associate in the Department of Biostatistics & Bioinformatics at Duke University. His research focuses on advanced statistical methodologies for analyzing complex biomedical and environmental datasets. Research interests include longitudinal data analysis, multi-omics integration, clustering algorithms, and skewed functional data modeling. His work addresses dynamic risk estimation in Alzheimer's disease, rainfall pattern recognition in Bangladesh, and statistical frameworks for heterogeneous data. Recent publications highlight his expertise in integrative data analysis, with applications in both precision medicine and environmental science. He has co-authored methodological advancements in journals such as Statistics in Medicine and Biometrics .