جست‌وجوی استاد و پژوهشگر

• Survival Analysis
• Causal Inference
• Data Linkage
• +۳ مورد دیگر

Dr. Lin Zhu is a Research Fellow and Biostatistician at the Sydney School of Public Health, University of Sydney. His work focuses on evaluating long-term effects of interventions, particularly for primary prevention of cardiovascular disease, and improving risk prediction tools. He leads a project examining ethnic inequalities in cardiovascular health in New South Wales using linked data. Research Interests: Survival Analysis, Causal Inference, Data Linkage, Clinical Epidemiology, and Health Equity. Current Projects: Investigating ethnic disparities in cardiovascular disease incidence, prognosis, and management through linked administrative datasets. Awards: EMCR Boost Scheme Award (USYD) and Australian Government Research Training Program (UTS). Advising & Grants: Supervising Peiyao XU on ethnic inequalities in cardiovascular disease. Active in associations like the Australasian Epidemiological Association and International Society for Clinical Biostatistics. Labs/Teams: Collaborates on interdisciplinary projects combining biostatistics, epidemiology, and public health policy.

Tin Hang Hungمشاهده پروفایل

مدرس

• Forest Ecology
• Genomics
• Climate Change Adaptation
• +۳ مورد دیگر

Dr Tin Hang (Henry) Hung is a Lecturer in Biology at St Hilda's College, University of Oxford, and a Croucher Fellow and Fulford Junior Research Fellow at Somerville College. His research focuses on how trees and forests adapt to climate change, particularly through somatic mutation analysis in ancient pedunculate oaks (Quercus robur) and genomic studies of threatened species like Asian rosewoods. He employs genomics, climate modeling, and machine learning to predict climate impacts and guide conservation efforts. Education : Not explicitly stated in the provided text. His research interests include somatic mutation dynamics, genetic diversity in forests, and environmental adaptation mechanisms. He explores how mutations captured in oak tree morphologies influence germline inheritance and fitness, integrating paleoclimatic data to detect evolutionary signals. His work bridges ecology, genetics, and computational biology. Key publications highlight his contributions to understanding conifer defense mechanisms, invasive species spread, and genomic strategies for endangered species conservation. Awards : Irene Manton Prize (2024) Croucher Fellow (2024) Forbes 30 Under 30 Europe (2025) National Geographic Explorer (2022) Dr. Hung’s work has been recognized for innovative approaches to climate adaptation, including leveraging AI and genomics for forest restoration. He collaborates on projects addressing global biodiversity challenges and has contributed to initiatives like Morfo’s tropical forest restoration efforts. No specific grants or lab affiliations are detailed in the text.

Ed Boydenمشاهده پروفایل

استاد

• Neuroscience
• Neurotechnology
• Synthetic Biology
• +۷ مورد دیگر

Ed Boyden is a Professor in the Departments of Brain and Cognitive Sciences, Media Arts and Sciences, and Biological Engineering at MIT. He holds the Y. Eva Tan Professorship in Neurotechnology at the McGovern Institute for Brain Research and is an HHMI Investigator. His research focuses on developing transformative neurotechnologies, including expansion microscopy, optogenetics, and noninvasive brain stimulation methods. These tools aim to map brain circuits, study neural dynamics, and address neurological disorders. Boyden earned undergraduate degrees in Physics and Electrical Engineering from MIT and a PhD in Neurosciences from Stanford University. His work bridges engineering, biology, and computation, with applications in understanding brain function and developing therapies. He teaches courses such as 20.203 and 20.309, emphasizing interdisciplinary approaches. Research Interests: His lab explores brain mapping, synthetic biology for neural imaging, and clinical neurotechnology. Key projects include expansion microscopy for nanoscale tissue imaging and gamma frequency stimulation for neurodegenerative disease treatment. Tools developed are freely shared to accelerate scientific progress. Labs/Teams: Head of the Synthetic Neurobiology Group at MIT, focusing on creating novel tools for neuroscience research and clinical translation.

• 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.

Barbara J. Woldمشاهده پروفایل

استاد

• Transcriptional Networks
• Molecular Biology
• Genomics
• +۵ مورد دیگر

Barbara J. Wold is the Bren Professor of Molecular Biology and Merkin Institute Professor at the California Institute of Technology (Caltech), where she has held continuous faculty appointments since 1978. Her leadership roles include Director of the Beckman Institute (2001-2011) and Director of the Merkin Institute (2019-2023), reflecting her significant institutional impact. Her academic journey began with a B.S. from Arizona State University (1973) followed by a Caltech Ph.D. (1978). She advanced through Caltech's faculty ranks from Research Fellow (1978) to Assistant Professor (1981-1988), Associate Professor (1988-1996), Professor (1996-2002), Bren Professor (2003-), and Merkin Institute Professor (2024-). Dr. Wold's research centers on transcriptional networks in mouse and human systems, integrating molecular biology, cellular biology, developmental biology, biochemistry, and biophysics . Her work pioneers single-cell and spatial transcriptomics approaches to decode gene regulation across tissues and developmental stages, with particular emphasis on cellular heterogeneity and regulatory dynamics. Analysis of her 2022-2025 publications reveals dominant themes in large-scale collaborative genomics , including leadership in the Human Cell Atlas and ENCODE projects. Key methodological contributions span spatial transcriptomics for kidney disease modeling, cross-strain mouse genomics, long-read RNA-seq validation, and ethical frameworks for international data sharing, demonstrating her dual focus on technical innovation and responsible science. Her distinguished career is marked by two named professorships: the Bren Professorship (2003) and Merkin Institute Professorship (2024), recognizing her transformative contributions to molecular biology. As a decades-long Caltech faculty member and institute director, Dr. Wold has mentored numerous graduate students and secured substantial research funding, though specific advisee names and grant details are not publicly listed. Her current leadership in the Merkin Institute continues to drive interdisciplinary biomedical research. Her laboratory operates at the nexus of the Beckman Institute and Merkin Institute ecosystems, leveraging Caltech's strengths in engineering and quantitative biology to advance transcriptional network research through cutting-edge genomic technologies and computational approaches.

• Multiple Testing
• Gene Expression Data
• Spatial Transcriptomics
• +۲ مورد دیگر

Hyeongseon Jeon is a Tenure-track Assistant Professor and Presidential Frontier Faculty (PFF) in the Department of Mathematics at the University of Houston’s College of Natural Sciences and Mathematics (NSM). He holds a joint appointment in the Department of Health Systems & Population Health Sciences (HSPHS) at the Tilman J. Fertitta Family College of Medicine. His research integrates statistical methodologies with biological applications, focusing on spatial transcriptomics, gene expression analysis, and machine learning for healthcare and environmental data. Jeon’s work addresses challenges in multiple testing, data visualization, and computational tools for high-throughput biological datasets. He collaborates across disciplines to advance understanding in cancer immunology, lung biology, and genetic disease mechanisms. His recent publications emphasize spatial transcriptomics experimental design, CAR T-cell therapy biomarkers, and e-cigarette impact on respiratory health. Key areas of focus include developing statistical frameworks for spatial transcriptomics (e.g., spaDesign, Maple) and analyzing immune responses in cancer patients. His research bridges computational innovation with translational medicine, aiming to improve diagnostic and therapeutic strategies through data-driven approaches. No scientific awards or advising records are explicitly listed in the provided materials. His office is located in PGH 629, and he can be reached via hsjeon@central.uh.edu.

Yang Liuمشاهده پروفایل

استادیار

• Spatial Omics
• Cancer Research
• Neurological Diseases
• +۵ مورد دیگر

Yang Liu, PhD, is an Assistant Professor in the Department of Pathology at Yale School of Medicine. He specializes in developing spatial multi-omics technologies, including DBiT-seq and Spatial-CITE-seq, which enable high-resolution analysis of RNA, proteins, and epigenetic markers in tissues. His research focuses on applying these techniques to study tumor microenvironments, neurological diseases, cardiovascular disorders, and developmental biology. Dr. Liu holds a PhD in Environmental Toxicology from the University of California, Riverside, and has conducted postdoctoral research at Yale since 2018 under Dr. Rong Fan. Education: PhD, Environmental Toxicology, University of California, Riverside (2017) MS, Computer Science, University of California, Riverside (2017) MS, Analytical Chemistry, Chinese Academy of Sciences (2011) BS/BE, Computer Science & Environmental Engineering, Huazhong University of Science & Technology (2008) His lab develops cutting-edge spatial omics tools to address complex biological questions. Recent work includes studying the CD24-Siglec axis in inflammatory diseases and investigating integrin-mediated signaling in cardiovascular pathologies. Dr. Liu has received prestigious awards including the NIH HuBMAP Jumpstart Award and R35 MIRA grant. Awards: SITC-SU2C Convergence Scholar Award (2019) NIH HuBMAP Jumpstart Award (2021) R35 Maximizing Investigators' Research Award (202X) Collaborations with clinicians and engineers at Yale advance translational research, particularly in leveraging spatial omics for precision medicine. His lab seeks to recruit graduate students and postdocs passionate about interdisciplinary technology development.

• Bayesian statistics
• Spatial statistics
• Shape analysis
• +۳ مورد دیگر

Qiwei Li is an Assistant Professor of Statistics in the Department of Mathematical Sciences at The University of Texas at Dallas. He holds a Ph.D. in Statistics from Rice University (2016), an M.A. in Statistics from Rice University (2015), an M.Phil. in Information Engineering from The Chinese University of Hong Kong (2010), a B.Sc. in Economics from Peking University (2009), and a B.Eng. in Electronic Engineering from Tsinghua University (2008). His research focuses on developing AI-powered Bayesian statistical methodologies and machine learning approaches to analyze high-dimensional, spatial, and shape data. Key areas include Bayesian clustering, spatial transcriptomics, microbiome community detection, and integrative omics analysis. He is actively involved in advancing methodologies for spatial molecular profiling and disease-relevant gene discovery. Recent publications highlight contributions to spatial transcriptomics integration, microbiome analysis, and health outcome studies. His work bridges statistical theory with biomedical applications, addressing challenges in genomics, imaging, and clinical data interpretation. Dr. Li is seeking highly motivated Ph.D. and undergraduate students to join his research group, offering financial support. He emphasizes interdisciplinary collaboration and innovation in statistical methodologies for solving complex biomedical problems.

Kristina L. Paxtonمشاهده پروفایل

پژوهشگر

• Movement Ecology
• Avian Disease
• Conservation Genetics
• +۷ مورد دیگر

Kristina L. Paxton serves as a Quantitative Ecologist with the Hawai'i Cooperative Studies Unit at the University of Hawaii at Hilo, affiliated with the Biology Department in the College of Natural and Health Sciences. Her work focuses on Movement Ecology, Avian Disease, and Conservation Genetics, with particular emphasis on Hawaiian forest birds and ecosystem conservation. She teaches courses including Biostatistics, Introductory Biology, Quantitative Ecology, and Conservation Biology and Environmental Science Field and Laboratory Methods. Dr. Paxton's research integrates diverse statistical methodologies ranging from basic statistics to multivariate community analysis and spatial modeling to hierarchical Bayesian modeling. Her work addresses complex ecological questions critical for conservation initiatives throughout the Pacific Islands, with significant focus on native and invasive species interactions. She specializes in movement ecology of tropical birds, avian disease dynamics (particularly avian malaria), and conservation genetics of endangered Hawaiian species including honeycreepers and the 'Ōma'o. Her publication record demonstrates consistent research productivity with 43 publications generating over 9,756 reads and 1,490 citations. Recent work examines landscape configuration effects on bird movement, acoustic communication in fragmented habitats, and molecular responses to disease in vulnerable native species. She collaborates extensively with researchers at the Smithsonian Institution, U.S. Geological Survey, and other institutions focused on Pacific Island conservation. Current Position: Quantitative Ecologist, Hawai'i Cooperative Studies Unit Past Positions: Lecturer at UH Hilo (2013-2016), Postdoctoral Researcher at Smithsonian Institution (2015), Teaching and Research Assistant at University of Southern Mississippi (2006-2013) Research Affiliation: Patrick Hart's Lab Dr. Paxton's work has significant implications for conservation management of endangered Hawaiian species facing habitat loss, disease threats, and climate change impacts. Her research provides critical data for conservation planning and species recovery efforts across the Hawaiian archipelago.

Haim Barمشاهده پروفایل

دانشیار

• High dimensional data
• Bioinformatics
• Statistical modeling
• +۴ مورد دیگر

Haim Bar is an Associate Professor in the Department of Statistics at the University of Connecticut. His research focuses on high-dimensional data analysis, bioinformatics, and statistical modeling with applications to genomics, proteomics, and public health. He leads initiatives such as the CoCoPUTs project, analyzing codon usage patterns across species and tissues, and develops statistical methods for translational medicine and precision health. Key contributions include the creation of the CancerCoCoPUTs database for cancer-specific codon usage, work on zinc status biomarkers for nutritional interventions, and proteomic-based prediction of immunotherapy responses. His methods address challenges in variable selection, graphical models, and handling missing data in large-scale biological datasets. Bar’s articles span statistical innovation (e.g., graphical models and convex geometry) to applied research in genetics, virology, and oncology. He collaborates across disciplines, integrating computational tools with clinical and ecological data to solve complex biological problems. His lab’s open-source tools like R-CMap advance concept mapping and data visualization.

Wenshan Wuمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Bioinformatics
• Medical Imaging
• +۳ مورد دیگر

Wenshan Wu is a PhD student in the Department of Computer Science at the University of Maryland, College Park (UMD), and a Visiting Fellow at the National Cancer Institute (NCI) through the NCI-UMD partnership program. His research focuses on Deep Learning applications in bioinformatics, spatial transcriptomics, and wearable healthcare technologies. He is advised by Prof. Erin Molloy and Dr. Joe Nguyen at UMD, and previously worked with Prof. Cuntai Guan at Nanyang Technological University (NTU), Singapore. His research interests include leveraging machine learning for health monitoring (e.g., smartphone-based heart rate detection) and computational biology (e.g., protein prediction algorithms). He has published in high-impact journals like Frontiers in Cardiovascular Medicine and PROTEOMICS , with work spanning biomedical engineering, bioinformatics, and medical imaging. Wenshan’s recent studies emphasize overcoming clinical validation challenges in wearable sensor applications and advancing neuroimaging segmentation via novel data augmentation strategies. While no formal scientific awards are listed, his work reflects contributions to healthcare technology and computational biology. He collaborates with interdisciplinary teams at NCI and UMD, focusing on translational research at the intersection of AI and medicine. His academic journey includes undergraduate studies in Computer Science at NTU under Prof. Cuntai Guan’s mentorship.

David Powellمشاهده پروفایل

استاد

• Genomics
• Immunology
• Data Science in Health
• +۳ مورد دیگر

David Powell is a Professor at the Monash e-Research Centre, Monash University. His research focuses on genomic analysis, immunology, and data-driven approaches in health and disease. He actively collaborates internationally and leads multiple projects addressing cancer, infectious diseases, and environmental health. Powell manages key research infrastructure including High-Performance Computing and the HELIX data platform. Research Interests : His work spans genomic studies of pathogens (e.g., Clostridioides difficile), T-cell biology, and computational methods in healthcare. Recent studies explore immunotherapy resistance mechanisms in cancers and cerebellar atrophy patterns in epilepsy. Projects : Current initiatives include The One Water Consortium (sustainable water systems), pediatric cancer therapeutic targets, and immune checkpoint research. He has secured funding for over 20 projects since 2015. Equipment : Oversees facilities like Immersive Visualisation Capability and Research Cloud, supporting large-scale data analysis in life sciences.

Katya Mackمشاهده پروفایل

استادیار

• Evolutionary Genetics
• Genomics
• Adaptation
• +۶ مورد دیگر

Dr. Katya Mack is an Assistant Professor in the Department of Ecology & Evolutionary Biology at the University of Kansas. Her research focuses on evolutionary genetics, genomics, and adaptation, particularly in house mice and rodents. She employs population genetic, systems biology, and statistical genomics approaches to study gene regulatory evolution, speciation, and environmental adaptation. Education: B.S. in Anthropology from the University of Michigan (Ann Arbor), Ph.D. in Integrative Biology from UC Berkeley. Research Interests: Dr. Mack investigates how gene regulation drives adaptation and speciation. Her work spans diverse systems, including sticklebacks and cavefish, with a focus on cis-regulatory changes, climatic adaptation, and tissue regeneration mechanisms. She integrates transcriptomic and genomic data to understand evolutionary processes and environmental interactions. Publications: Her recent work highlights studies on allele-specific expression in tissue regeneration, cis-regulatory divergence in sticklebacks, and genomic drivers of desert adaptation in rodents. These studies emphasize the role of gene expression plasticity in evolutionary responses. Labs & Teams: The Mack Lab at KU combines genomic, computational, and ecological approaches to address fundamental questions in evolutionary biology. Collaborations focus on leveraging natural history collections and experimental models to advance understanding of evolutionary mechanisms.

• Plant Genomics
• Arbuscular Mycorrhiza Symbiosis
• Root Nodule Symbiosis
• +۷ مورد دیگر

Prof. Dr. Helge Küster is a full-time Professor at the Institute of Plant Genetics, Faculty of Natural Sciences, Leibniz University Hannover. He serves as Executive Director of the Institute and leads the Section Plant Genomics. He is actively involved in academic governance, representing professors on the Faculty Council and Examination Boards for Plant Biotechnology and Plant Biology programs. PhD in Natural Sciences (Dr. rer. nat.) His research focuses on plant-microbe interactions, particularly arbuscular mycorrhiza and root nodule symbiosis in legumes. He employs transcriptomics, gene expression analysis, and functional genomics to study symbiotic signaling, gene regulation, and plant defense responses. His work includes the development of genomic resources such as the MtExpress transcriptome database and the Viscum album gene space database. He investigates the role of GRAS transcription factors, defensins, and nutrient stress responses in plant symbioses. The recent publications demonstrate a consistent focus on plant genomics, symbiosis, and stress responses. His work integrates molecular biology, bioinformatics, and systems biology approaches to understand plant-endosymbiont interactions at the cellular and molecular level. He frequently uses model legumes like Medicago truncatula and extends research to non-model species like Viscum album. No scientific awards were mentioned in the provided texts. Prof. Küster leads a research group and supervises academic projects, including final theses. He has been involved in numerous collaborative research projects, particularly in the areas of symbiosis and plant genomics. His work has been supported by institutional and likely national funding sources, though specific grants are not listed. He has contributed to the development of bioinformatic tools and databases for the legume research community. He leads the research group 'Plant Genomics' at the Institute of Plant Genetics, focusing on symbiotic interactions and transcriptome analysis. His team utilizes advanced techniques such as laser microdissection, microarray hybridization, and next-generation sequencing to study cell-type-specific gene expression during symbiosis.

• Neuropathology
• Neurodegenerative Diseases
• Alzheimer's Disease
• +۱۲ مورد دیگر

Peter Nelson, MD, PhD, is a Professor at the University of Kentucky, affiliated with the Sanders-Brown Center on Aging and the Department of Pathology and Laboratory Medicine in the College of Medicine. He serves as Director of Neuropathology and Vice Chair for Basic Science Research, demonstrating a strong leadership role in both clinical and research domains. His research is centered on neuropathological mechanisms of aging and dementia, particularly focusing on TDP-43 proteinopathies, hippocampal sclerosis, and Alzheimer’s disease. He has pioneered work on Limbic-predominant Age-related TDP-43 Encephalopathy (LATE), a common mimic of Alzheimer’s disease, and has extensively studied the role of microRNAs and genetic variants in neurodegeneration. His recent publications highlight a strong emphasis on genetic associations (e.g., ABCC9, TMEM106B), cerebrovascular contributions to dementia, and advanced molecular techniques such as spatial glycomics and transcriptomic analysis. His work frequently involves large-scale collaborative studies and leverages data from major consortia, reflecting a systems-level approach to understanding brain aging. Peter Nelson has authored over 200 scholarly works, many in high-impact journals like Acta Neuropathologica , Brain , and Neurology . His research bridges basic science and clinical neuropathology, contributing significantly to the understanding of dementia biomarkers and disease classification. He mentors trainees through the MD/PhD Program and Neuroscience Joint Faculty, and is involved in multiple institutional cores and research initiatives. His laboratory, located in the UK-ADRC Neuropathology Lab, is actively engaged in cutting-edge research on brain aging and neurodegenerative diseases.