جست‌وجوی استاد و پژوهشگر

Yufeng Tongمشاهده پروفایل

دانشیار

• Structural Biology
• Biochemistry
• Enzymology
• +۴ مورد دیگر

Dr. Yufeng Tong is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Windsor. He holds a Ph.D. from the Chinese Academy of Sciences, Beijing. His research focuses on structural biology and biochemical mechanisms, particularly the molecular regulation of ubiquitination pathways and stress response signaling. Dr. Tong employs techniques such as X-ray crystallography, NMR spectroscopy, and biochemical assays to study enzymes like E3 ligases, deubiquitinases, and small GTPases. His work aims to develop tool molecules (e.g., ubiquitin variants) to modulate enzyme activities, with applications in understanding disease-relevant pathways. Dr. Tong’s research emphasizes the conserved stress response mechanisms in cells, exploring how cells adapt to environmental and metabolic stresses through post-translational modifications and gene expression regulation. His lab contributes to advancing diagnostic methods, such as wastewater surveillance for viral detection (e.g., SARS-CoV-2), and developing platforms for protein interaction analysis. Collaborative projects include multi-modal data-driven health surveillance tools and structural insights into critical proteins like ubiquitin-specific proteases. Dr. Tong maintains an active research group, though student names are not listed here. His lab is affiliated with the Faculty of Science and engages in interdisciplinary work at the interface of biochemistry, structural biology, and biotechnology.

Herb Schellhornمشاهده پروفایل

استاد

• Bacterial Genetics
• Molecular Microbiology
• Bacterial Stress Response
• +۵ مورد دیگر

Herb Schellhorn is a Professor in the Department of Biology within the Faculty of Science at McMaster University. His research spans fundamental bacterial genetics to applied environmental microbiology, with a particular focus on bacterial adaptation mechanisms and water quality monitoring. Dr. Schellhorn earned his B.Sc. and M.Sc. in Microbiology from the University of Guelph, followed by a Ph.D. in Microbiology from North Carolina State University. His academic background established the foundation for his expertise in bacterial stress response mechanisms and molecular microbiology. His laboratory primarily investigates bacterial genes that help cells adapt to sub-optimal growth conditions, with significant emphasis on the RpoS regulon. Early in his career, he focused on fundamental mechanisms of bacterial gene regulation, oxidative stress response, and DNA repair in Escherichia coli. More recently, his research has expanded to address critical environmental challenges, particularly in recreational water safety and pathogen detection in the Great Lakes region. His work combines DNA microarrays, real-time PCR, reporter fusions, and mass spectrometry with advanced genomic techniques to develop innovative solutions for water quality assessment. Analysis of his recent publications reveals a strategic evolution from pure bacterial physiology toward applied environmental microbiology. While maintaining his core interest in bacterial adaptation mechanisms, approximately 70% of his recent work (2023-2025) focuses on water quality monitoring, microbial source tracking, and recreational water safety. His research demonstrates exceptional methodological diversity, incorporating molecular diagnostics, metagenomics, and computational approaches to address public health challenges. Development of novel molecular methods for rapid water quality assessment Application of genomic technologies to environmental monitoring Investigation of bacterial adaptation in natural aquatic environments Creation of same-day testing protocols for recreational water safety Characterization of microbial communities in freshwater ecosystems Dr. Schellhorn actively contributes to teaching at McMaster University, instructing courses including Medical Microbiology (MOLBIOL 6P03 and 4P03), Introductory Biology (BIOLOGY 1P03), and Techniques in Molecular Genetics (MOLBIOL 3V03). His teaching reflects his research expertise, bridging theoretical knowledge with practical laboratory skills in molecular biology and microbiology. His laboratory serves as a training ground for students interested in both fundamental bacterial physiology and applied environmental microbiology.

Stephen Ramseyمشاهده پروفایل

دانشیار

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +۶ مورد دیگر

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

• Forensic Genetics
• DNA Profiling
• Biomolecular Archaeology
• +۳ مورد دیگر

Dr Eleanor Graham is a Lecturer in Forensic Science at Northumbria University, specializing in DNA analysis and biomolecular applications. She holds a PhD in Genetics from the University of Leicester (2003) and has academic affiliations with the Forensic Science Society, the International Society of Forensic Genetics, and the British Association for Human Identification. Education: BSc in Biochemistry (UMIST), MSc in Biomolecular Archaeology (UMIST/University of Sheffield), PhD in Genetics (University of Leicester) Her research focuses on forensic genetics, DNA profiling, and post-mortem analysis. She has contributed to studies on DNA stabilization techniques, alternative funerary practices in Roman archaeology, and interdisciplinary forensic ethics. Her recent publications highlight collaborations across Europe in mRNA-based body fluid typing. Key scientific award: 2008 Da Vinci Health Technology Awards - Highly Commended for 'The University Biopsy Tool' Dr Graham supervises postgraduate research, including Blake Kesic's work on forensic profiling of smokeless powders. She previously served as a Post-Doctoral Research Associate at the University of Leicester under Professor Guy Rutty.

Crisanto Gutierrezمشاهده پروفایل

استاد

• Cell Cycle
• DNA Replication
• Chromatin
• +۵ مورد دیگر

Crisanto Gutierrez is a distinguished Professor at the Spanish National Research Council (CSIC) and Head of the Genome Dynamics and Function Program at the Center for Molecular Biology Severo Ochoa in Madrid, Spain. With over three decades of academic service since 1982, he has held progressive academic ranks from Assistant Professor to his current full Professor position since 2002, establishing himself as an internationally recognized leader in plant molecular biology. His pioneering research focuses on the interplay between chromatin dynamics, DNA replication, and cell proliferation in plants, utilizing multidisciplinary approaches across cellular, molecular, genetic, and genomic domains. Gutierrez achieved seminal breakthroughs including the discovery of the retinoblastoma (Rb) tumor suppressor protein in plants and deciphering geminivirus DNA replication mechanisms coupled to the cell cycle. His work primarily employs Arabidopsis thaliana as a model system to investigate fundamental biological processes, with particular expertise in endoreplication, epigenetics, chromatin organization, and root development. Analysis of his recent publications reveals a consistent trajectory exploring chromatin organization's role in genome function, with increasing emphasis on epigenetic regulation of DNA replication origins and their developmental implications. His research bridges fundamental cell cycle mechanisms with plant-specific adaptations, demonstrating how chromatin landscapes dictate replication timing and transcriptional activity across different tissue types. Honors and awards include: EMBO Council Member (2020) ERC Advanced Grant PLANTGROWTH (2019-2024) Research Prize from Fundacion Carmen y Severo Ochoa (2008) Membership in the Royal Academy of Medicine and Surgery of Cadiz (2009) EMBO Membership (1998) Gutierrez maintains an active research program with continuous competitive funding since 1993, including his current European Research Council Advanced Grant. He has trained over 60 PhD and postdoctoral researchers, nine of whom now lead independent laboratories worldwide. His editorial leadership includes positions at EMBO Journal , EMBO Reports , and Plant Journal , while his advisory roles extend to research institutes in France, Spain, and Argentina. He serves on prestigious evaluation panels including LABEX (France) and the ERC Consolidator Grant Life Sciences panel.

Yildiz Yilmazمشاهده پروفایل

دانشیار

• Survival Analysis
• Statistical Genetics
• Genetic Epidemiology
• +۴ مورد دیگر

Yildiz Yilmaz serves as Associate Professor of Statistics and Deputy Head of Statistics at Memorial University of Newfoundland's Department of Mathematics and Statistics within the Faculty of Science. Holding a PhD from the University of Waterloo, she maintains an active research program at the intersection of statistical methodology and biomedical applications. Education PhD in Statistics, University of Waterloo (2009) MSc in Statistics, Middle East Technical University (2004) MSc in Computer Engineering, Middle East Technical University (2004) BSc in Statistics with minor in Computer Engineering, Middle East Technical University (2002) Her research focuses on developing advanced statistical methods for survival analysis, genetic epidemiology, and causal inference. Key programs include: (1) novel methods for genome-wide prognosis studies of time-to-event phenotypes, (2) genetic association methods using joint/directional models of multiple phenotypes, (3) evaluation of response-dependent sampling designs, and (4) models for multivariate survival times. Her work addresses critical challenges in biomedical research through innovative statistical theory. Recent publications demonstrate consistent focus on colorectal cancer genomics, statistical genetics methodology, and survival analysis applications. Trends show increasing emphasis on multi-phenotype analysis, SNP interaction networks, and time-varying effects in genetic association studies, with significant contributions to copula-based joint modeling approaches. Research Support Natural Sciences and Engineering Research Council (NSERC) Canadian Statistical Sciences Institute (CANSSI) Faculty of Medicine, Memorial University Research and Development Corporation (RDC) of Newfoundland and Labrador Dr. Yilmaz actively mentors students across multiple programs including PhD, MSc, MAS, and undergraduate levels. Her current research group comprises seven students working on statistical genetics and survival analysis projects, building on a track record of successfully supervising numerous graduate students and post-doctoral fellows since 2013.

• Population Genetics
• Human Evolution
• Ancient DNA Analysis
• +۳ مورد دیگر

Benjamin Peter is a Group Leader at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, leading the 'Genetic Diversity through Space and Time' group. He holds a PhD from the University of California, Berkeley (2014), an MSc from the University of Bern (2010), and a BSc in Biology from the University of Bern (2008). His research focuses on population genetics, ancient DNA analysis, and human evolutionary history. Education: PhD in Integrative Biology, UC Berkeley (2014) MSc in Ecology and Evolution, University of Bern (2010) BSc in Biology (Plant Sciences), University of Bern (2008) Research Interests: Dr. Peter specializes in reconstructing human evolutionary history through ancient DNA, population genetics, and genomic analysis. His work addresses topics such as Neanderthal admixture, Denisovan ancestry, and the genetic basis of human adaptation to high-altitude environments. He develops computational methods for analyzing ancient genetic data and interpreting population structure dynamics. Article Trends: His recent publications emphasize ancient genomic studies, including analyses of early modern human genomes, Neanderthal social organization, and Denisovan admixture in East Asian populations. His work often integrates archaeological and genetic data to elucidate human migration and evolutionary trajectories. Labs/Teams: He leads a research group focused on genetic diversity dynamics, collaborating with institutions globally. His team employs cutting-edge sequencing and computational tools to explore evolutionary questions.

Brendan Mumeyمشاهده پروفایل

استاد

• Algorithms
• Combinatorial optimization
• Computational biology
• +۴ مورد دیگر

Brendan Mumey is a Professor of Computer Science at Montana State University, affiliated with the Gianforte School of Computing under the College of Engineering. He holds a Ph.D. in Computer Science from the University of Washington (1997), an MS from the University of British Columbia, and a BS in Mathematics from the University of Alberta. His research focuses on applied algorithms, computational biology, and optimization, particularly in pangenomics, flow decomposition, and genomics. Key research areas include DNA/RNA sequence multiassembly, pangenomics, and algorithms for flow decomposition in networks. He is part of the Applied Algorithms Group and develops software through the MSU Algorithms Lab. Notable projects involve NSF-funded initiatives to scale flow decomposition and explore plant genetic diversity using pangenomic tools. Selected awards include multiple Excellence in Research Awards (2007, 2011, 2012, 2013) and an Excellence in Service Award (2011). His teaching spans algorithms, discrete structures, and computational biology at both undergraduate and graduate levels. Grants include NSF support for pangenomic tools, functional genomics, and interdisciplinary mentoring programs. Collaborative work emphasizes bridging theoretical algorithms with practical applications in biology and sustainability.

Srividya Kidambiمشاهده پروفایل

استاد

• Endocrinology
• Obesity Research
• Metabolic Disorders
• +۳ مورد دیگر

Srividya Kidambi is a Professor of Medicine and Chief of the Division of Endocrinology and Molecular Medicine at the Medical College of Wisconsin (MCW) and Froedtert Hospital. She holds an MS in Epidemiology from MCW and an MBBS from Gandhi Medical College in India, with postdoctoral training in Physiology and Endocrinology at MCW and the University of Wisconsin-Madison. Research Interests : Dr. Kidambi investigates the role of body fat distribution in obesity-related diseases , focusing on why some obese individuals remain metabolically healthy while others develop diabetes or cardiovascular issues. Her work explores the protective effects of peripheral fat storage versus visceral adiposity, linking these patterns to hormonal and cellular mechanisms. Clinical Expertise : She specializes in managing obesity-related complications including type 2 diabetes, dyslipidemia, hypertension , and adrenal disorders. As Director of the TOPS Obesity and Metabolic Research Center and Medical Director of the Comprehensive Weight Loss Program, she advocates for multidisciplinary, patient-centered care . Leadership Roles : Dr. Kidambi serves as Associate Chief Medical Officer for Medical and Procedural Specialties at Froedtert & MCW, and contributes to grant review committees for the American Heart Association and American Diabetes Association. She actively mentors faculty and has served on multiple academic committees since 2008.

• Legal Evidence
• Cognitive Bias in Legal Decision Making
• Bayesian Evidence Models
• +۳ مورد دیگر

Christian Dahlman is a Professor in the Department of Law at Lund University, serving as Research Coordinator for the Law, Evidence and Cognition (LEVIC) research group. His work focuses on legal evidence, cognitive biases in legal decision-making, and Bayesian models of evidence evaluation. He contributes to UN Sustainable Development Goals related to justice and governance. Dahlman is actively involved in interdisciplinary research at the intersection of law, psychology, and artificial intelligence. Research interests include probabilistic reasoning in legal contexts, cognitive biases affecting judicial fact-finding, and the application of Bayesian networks to forensic evidence analysis. His work critiques common legal fallacies and proposes methods to debias legal decision-making processes. Recent activities include organizing the NORTH SEA GROUP legal evidence seminars and delivering invited lectures on topics like 'Against Plausibility' (2024). He supervises doctoral research in areas such as decisional privacy and legal cognition. Dahlman's projects address preventing miscarriages of justice and improving evidence evaluation frameworks. He leads the long-running Law, Evidence and Cognition research initiative (2010–present) and has coordinated international collaborations across Europe. Dahlman's contributions span legal education, historical legal case analyses, and policy recommendations for judicial reform.

• Applied Machine Learning
• Microbiology
• Drinking Water Distribution Systems
• +۳ مورد دیگر

Niklas Gador is a Senior Lecturer in the Department of Computer Science at the Faculty of Natural Science. His research focuses on applying machine learning techniques to microbiological challenges, particularly in water distribution systems. He specializes in visualization, classification, anomaly detection, forecasting, and reinforcement learning, using Python as his primary tool. Current teaching responsibilities include courses in Discrete Mathematics, Statistics, Methods for Measuring Electricity, and Calculus and Algebra. Research collaborations include projects like EIVF-AI (Enhancing In Vitro Fertilization with AI) and studies on bacterial changes in drinking water systems post-monochloramine removal. He has participated in conferences such as the 3rd Annual RECS Workshop on AI and organized events on smart AI taxi systems. His work frequently involves flow cytometry and environmental data analysis. He serves as a deputy supervisor for a PhD project on bathing water quality using machine learning and DNA-based methods. Despite his active research profile, no scientific awards are explicitly mentioned in the provided texts.

Rod Wingمشاهده پروفایل

استاد

• Genomics
• Plant Genomics
• Molecular Biology
• +۳ مورد دیگر

Rod Wing is a Regents Professor in the Department of Plant Sciences at the University of Arizona and a leading figure at the Arizona Genomics Institute (AGI). AGI specializes in high-quality nucleic acid extraction and advanced genomics research, including large-scale genome sequencing projects for rice, maize, and other species. AGI, founded in 2002, has played a pivotal role in sequencing rice chromosomes 3 and 10 as part of the International Rice Genome Sequencing Project (IRGSP). The institute continues to innovate through its Service Center, which operates cutting-edge technologies like the Revio platform and provides fee-for-service genomic support. Research Focus: Plant genomics, genome sequencing, high-quality DNA/RNA extraction, and computational biology. Expertise: Sequencing technology, genetic mapping, and bioinformatics. Awards: Regents Professor, University of Arizona AGI collaborates globally and contributes to solving challenges in food security and plant genetics. For inquiries, contact Rod Wing at rwing@ag.arizona.edu.

Costas S. Patrickiosمشاهده پروفایل

استاد

• Dynamic Covalent Chemistry
• Amphiphilic Copolymer Networks
• Microphase Separation
• +۷ مورد دیگر

Costas S. Patrickios is a Professor in the Department of Chemistry at the University of Cyprus, within the School of Natural and Applied Sciences. His academic career spans over two decades, beginning as an Assistant Professor in 1998 and progressing to his current position as Professor. His research is centered on advanced polymer systems with applications spanning materials science, nanotechnology, and biomaterials. Dr. Patrickios received his Diploma in Chemical Engineering from the National Technical University of Athens (NTUA) in 1988, followed by a Master of Science in Chemical Engineering Practice from MIT in 1990. He completed his PhD at MIT in 1993 and conducted postdoctoral research at the University of Sussex from 1994-1996. His academic journey continued with a lectureship at UMIST before joining the University of Cyprus in 1998. His research focuses on dynamic covalent chemistry , amphiphilic copolymer networks , and microphase separation in polymer systems. Patrickios has made significant contributions to the understanding of polymer synthesis , controlled polymerizations , and degradable polymer networks . His work often bridges experimental and computational approaches, particularly in coarse-grained molecular dynamics simulations of polymer behavior. Recent research has expanded into applications related to RNA and DNA yield , demonstrating the versatility of his polymer systems. Analysis of his publication record reveals a strong focus on amphiphilic polymer conetworks, with consistent exploration of their synthesis, characterization, and applications. His work shows increasing integration of computational methods with experimental approaches, particularly in understanding structure-property relationships. The research spans fundamental polymer science to applied areas including energy materials, biomaterials, and smart responsive systems. Dr. Patrickios has also contributed significantly to the field through book editing, including the comprehensive volumes Amphiphilic Polymer Co-networks: Synthesis, Properties, Modelling and Applications (2020) and Polymer Networks: Synthesis, Properties, Theory and Applications (2010), which have become important references in the field. His collaborative research approach is evident through numerous international partnerships, with co-authors from institutions across Europe and beyond. This collaborative network has enabled multidisciplinary research that bridges chemistry, materials science, and engineering perspectives.

• RNA Biology
• Neurodegenerative Diseases
• Neuronal mRNA Translation
• +۵ مورد دیگر

Junjie Guo is an Associate Professor of Neuroscience at Yale School of Medicine, leading the Guo Lab focused on RNA biology and neurological mechanisms. He holds affiliations with the Interdepartmental Neuroscience Program, Center for RNA Science and Medicine, and Wu Tsai Institute. Education : B.A. in Biology (Peking University, 2006), Ph.D. in Neuroscience (Johns Hopkins University, 2011), Postdoctoral Fellow at Whitehead Institute/MIT (2017). Research Interests : Investigates RNA dysregulation in neurodegenerative diseases (e.g., ALS/FTD), noncanonical mRNA translation in neuronal development, and spatial/temporal regulation of neuronal mRNA transport and local translation. Utilizes genomic, molecular, and computational approaches in stem cells, neuronal models, and mouse models. Recent Article Trends : Focuses on SARS-CoV-2 replication mechanisms, RNA structural biology (e.g., G-quadruplexes and tandem repeats), and translational control pathways. Highlights include CRISPR-based screens for viral dependency factors and discovery of alternative translation initiation roles in synaptic organizers. Awards : McKnight Neurobiology of Brain Disorders Award (2023), NYSCF-Robertson Neuroscience Investigator (2021), NIH New Innovator Award (2018), and multiple fellowships from the Klingenstein-Simons and Damon Runyon Foundations. Advising & Grants : Mentors postdocs (e.g., Zhen Lei), graduate students (e.g., Ata Isiktas), and others. Leads NIH-funded projects on RNA biology and neurological disorders. Collaborates with researchers like Marina Picciotto and Craig Wilen. Labs/Teams : Directs the Guo Lab, part of the Yale Neuroscience community. Engages in interdisciplinary initiatives through the Wu Tsai Institute and Center for RNA Science and Medicine.

Yong Xiongمشاهده پروفایل

استاد

• Virology
• Structural Biology
• Molecular Biophysics
• +۵ مورد دیگر

Dr. Yong Xiong is a Professor of Molecular Biophysics and Biochemistry at Yale University, affiliated with the Yale School of Medicine. His research focuses on structural and biochemical studies of viral-host interactions, including HIV and SARS-CoV-2, with expertise in X-ray crystallography, cryo-EM, and computational biology. He leads the Xiong Laboratory, which investigates antiviral mechanisms, viral immune evasion, and cellular pathways like DNA repair and nuclear transport. Education: PhD and MS from Ohio State University (2000/1999), Postdoctoral Fellow at Yale University (2006). Research highlights include structural insights into HIV capsid-host interactions, SAMHD1 antiviral functions, and SARS-CoV-2 entry mechanisms. Collaborations span institutions like the Yale Cancer Center and the Center for RNA Science and Medicine. Key research areas include viral nuclear entry, capsid assembly, and antiviral host factors. Techniques employed include cryo-electron microscopy, protein engineering, and in vitro cellular models. His work bridges structural biology with virology to develop therapeutic strategies against viral infections.