School of Medicine
Showing 61-70 of 358 Results
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Melissa Wan Ying Chua
Bioinformatician, Genetics
Current Role at StanfordBioinformatician
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Stanley N. Cohen, MD
Kwoh-Ting Li Professor in the School of Medicine, Professor of Genetics and of Medicine
Current Research and Scholarly InterestsWe study mechanisms that affect the expression and decay of normal and abnormal mRNAs, and also RNA-related mechanisms that regulate microbial antibiotic resistance. A small bioinformatics team within our lab has developed knowledge based systems to aid in investigations of genes.
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Le Cong
Assistant 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&cell therapy. We also leverages these gene-editing tools for single-cell functional screening, to probe molecular mechanisms of cancer and immunological diseases. To accelerate our work, we integrate AI and machine learning to design and evolve gene-editing proteins/RNAs in silico, pushing the frontier that bridges computational and experimental biology.
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Christina Curtis
RZ Cao Professor, Professor of Genetics and of Biomedical Data Science
Current Research and Scholarly InterestsThe Curtis laboratory for Cancer Computational and Systems Biology is focused on the development and application of innovative experimental, computational, and analytical approaches to improve the diagnosis, treatment, and early detection of cancer.
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Kyle Gabriel Daniels
Assistant Professor of Genetics and, by courtesy, of Neurosurgery (Adult Neurosurgery)
BioKyle obtained his BS in Biochemistry from the University of Maryland College Park in 2010, conducting undergraduate research with Dr. Dorothy Beckett, PhD. He obtained his PhD in Biochemistry with a certificate in Structural Biology and Biophysics. His dissertation is titled "Kinetics of Coupled Binding and Conformational Change in Proteins and RNA" and was completed in the laboratory of Dr. Terrence G. Oas, PhD. Kyle performed postdoctoral training with Dr. Wendell A. Lim, PhD at UCSF studying how CAR T cell phenotype is encoded by modular signaling motifs within chimeric antigen receptors.
Kyle's lab is interested in harnessing the principles of modularity to engineer receptors and gene circuits to control cell functions.
The lab will use synthetic biology, medium- and high-throughput screens, and machine learning to: (1) Engineer immune cells to achieve robust and durable responses against various cancer targets, (2) Coordinate behavior of multiple engineered cell types in cancer, autoimmune disease, and payload delivery, (3) Control survival, proliferation, and differentiation of hematopoietic stem cells (HSCs) and immune cells, and (4) Explore principles of modularity related to engineering receptors and gene circuits in mammalian cells.
