Stanford University
Showing 321-340 of 356 Results
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Alexander Eckehart Urban
Associate Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator) and of Genetics
Current Research and Scholarly InterestsComplex behavioral and neuropsychiatric phenotypes often have a strong genetic component. This genetic component is often extremely complex and difficult to dissect. The current revolution in genome technology means that we can avail ourselves to tools that make it possible for the first time to begin understanding the complex genetic and epigenetic interactions at the basis of the human mind.
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Alun Vaughan Jackson
Postdoctoral Scholar, Genetics
BioCollaborative postdoctoral fellow between the groups of Prof. Michael Bassik (Stanford) and Dr Andreas Puschnik (CZ Biohub) interested in host-virus interactions with the innate immune system.
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Anne Villeneuve
Berthold and Belle N. Guggenhime Professor and Professor of Developmental Biology and of Genetics
Current Research and Scholarly InterestsMechanisms underlying homologous chromosome pairing, DNA recombination and chromosome remodeling during meiosis, using the nematode Caenorhabditis elegans as an experimental system. High-resolution 3-D imaging of dynamic reorganization of chromosome architecture. Role of protease inhibitors in regulating sperm activation.
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Elisa Mariel Visher
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsElisa Visher is broadly interested in the (co)evolution of life history strategies, niche breadth, diversification, and adaptability. They use mostly experimental evolution methods in microbial systems to test the predictions and assumptions of theoretical literature. Currently, they am especially interested in understanding the genetics of trade-offs in microbes to better understand patterns of diversity in nature and constraints to adaptation.
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Douglas Vollrath
Professor of Genetics, Emeritus
Current Research and Scholarly InterestsThe Vollrath lab works to uncover molecular mechanisms relevant to the health and pathology of the outer retina. We study metabolic and other cellular interactions between the glial-like retinal pigment epithelium (RPE) and adjacent photoreceptors, with the goals of understanding the pathogenesis of photoreceptor degenerative diseases such as age-related macular degeneration and retinitis pigmentosa, and developing therapies.
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Tao Wang (王韬)
Director of Precision Diabetes Care, Genetics
Current Role at StanfordPrincipal Investigator, AI for Precision Diabetes Management
Project Manager & Scientific Co-lead, PsychENCODE Project
Project Initiator & Clinical Co-lead, Long COVID Clinical RCT with TCM
Project Initiator & Manager, AI & Wearables Toolkit for Biomedical Sciences
ENCODE and PsychENCODE Project Data Manager
Research Scientist, US Veteran Affairs Hospital
SCGPM HPC System Administrator -
Dr. Zhiyong Wang
Visiting Scholar, Genetics
BioDr. Wang is the acting director of the Department of Plant Biology, Carnegie Institution for Science, and a professor by courtesy of the Department of Biology, Stanford University. He is currently an associate editor of Molecular Cellular Proteomics, and editorial board member of Molecular Plant. He is a Fellow of the American Association for the Advancement of Science (AAAS) and recipient of the Humboldt Research Prize.
Dr. Wang obtained his Ph.D. in 1998 from UCLA, where he cloned the plant circadian clock gene CCA1. He did his postdoctoral research at the Salk Institute, where he studied the brassinosteroid signaling mechanism mediated by the BRI1 receptor kinase. Since joining Carnegie in 2001, his research has illustrated the receptor kinase signaling pathway that links the BRI1 receptor kinase to the BZR1 transcription factor and brassinosteroid-responsive genes in the Arabidopsis genome. He further demonstrated how the steroid signaling pathway integrates at the molecular level with other hormonal pathways, light signaling pathways, nutrient-sensing pathways, immunity pathways, and the circadian clock, to coordinately regulate plant growth and development. His lab uses combinations of genomic and proteomic approaches to understand how cellular signals are transduced and integrated through posttranslational modifications (e.g. phosphorylation and O-Glycosylation) and protein-protein interactions. His studies are elucidating the molecular mechanisms that control plant growth and mediate responses to environmental changes. -
Shannon White
Postdoctoral Scholar, Genetics
BioHi, I'm Shannon White. I began my postdoctoral fellowship in Michael Snyder's lab in the fall of 2020. I received my PhD from Georgetown University in Tumor Biology in Chunling Yi's lab. My graduate worked explore the signaling and metabolic vulnerabilities of NF2-mutant tumors following YAP/TAZ depletion. My postdoctoral work is exploring the epigenetic hallmarks that contribute to colon cancer progression and drug resistance. I am developing colon organoids derived from pre-cancerous polyp tissue collected from Familial Adenomatous Polyposis patients as a model system to investigate epigenetic and signaling responses to chemoprevention treatments.
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Monte Winslow
Associate Professor of Genetics and of Pathology
Current Research and Scholarly InterestsOur laboratory uses genome-wide methods to uncover alterations that drive cancer progression and metastasis in genetically-engineered mouse models of human cancers. We combine cell-culture based mechanistic studies with our ability to alter pathways of interest during tumor progression in vivo to better understand each step of metastatic spread and to uncover the therapeutic vulnerabilities of advanced cancer cells.
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Yue Wu
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsI built computational methods to integrate and model biological time series, including metabolic dynamics, longitudinal multi-omics data, and micro-sampling. I reduce dimensions, built clusters, and search for causal links.
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Lei Xiong
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsMy research focuses on develop deep learning methods to
1. Infer macrophage-tumor cells interaction using spatial multi-omics
2. Decipher the cis-regulatory code using a large language models
3. Predict enhancer-promoter interaction
4. Multi-omics integration
5. Build foundational model for single-cell genomics
