Stanford University
Showing 81-90 of 501 Results
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Le Cong
Associate Professor of Pathology (Pathology Research) and of Genetics
Current Research and Scholarly InterestsOur lab develops gene-editing technologies like novel CRISPR systems and large gene insertion techniques for gene and cell therapy. We also leverage these gene-editing tools for single-cell functional screening to probe mechanisms of cancer, immunological, and aging-associated diseases. To accelerate our work, we integrate AI and machine learning to design and evolve therapeutic RNAs/proteins, and build AI-XR co-scientists like LabOS that bridge AI computation and biomedical experimentation.
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Joanne Cornbleet
Associate Professor of Pathology at the Stanford University Medical Center, Emerita
Current Research and Scholarly InterestsAs medical director of the Hematology Laboratory, my main focus is service work, including laboratory administration, bone marrow pathology, and flow cytometry interpretation. Publications arise primarily from development or evaluation of laboratory methods or collections of unusual patient cases.
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Tina Cowan
Professor of Pathology (Clinical) and, by courtesy, of Pediatrics (Genetics)
Current Research and Scholarly Interestsscreening and diagnosis of patients with inborn errors of metabolism, including newborn screening, development of new testing methods and genotype/phenotype correlations.
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Gerald Crabtree
David Korn, MD, Professor of Pathology and Professor of Developmental Biology
Current Research and Scholarly InterestsChromatin regulation and its roles in human cancer and the development of the nervous system. Engineering new methods for studying and controlling chromatin and epigenetic regulation in living cells.
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Ronaldo Francisco Jr
Affiliate, Pathology Clinical Faculty PTAs
BioI am a geneticist focused on the application of computational and statistical methods to study genetic mechanisms of disease. My research interests include (i) genomic and precision medicine; (ii) detection and analysis of genetic variants using NGS data (WGS, WES, RNA-Seq); and (iii) transcriptome and allele-specific expression.
