School of Medicine
Showing 1-7 of 7 Results
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Michele Calos
Professor of Genetics, Emerita
Current Research and Scholarly InterestsMy lab is developing innovative gene and stem cell therapies for genetic diseases, with a focus on gene therapy and regenerative medicine.
We have created novel methods for inserting therapeutic genes into the chromosomes at specific places by using homologous recombination and recombinase enzymes.
We are working on 3 forms of muscular dystrophy.
We created induced pluripotent stem cells from patient fibroblasts, added therapeutic genes, differentiated, and engrafted the cells. -
MaryAnn Campion
Clinical Associate Professor, Genetics
Current Research and Scholarly InterestsMy research has focused on faculty development in academic medicine and the translation of genomics into public health.
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Howard Y. Chang, MD, PhD
Virginia and D. K. Ludwig Professor of Cancer Research and Professor of Genetics
Current Research and Scholarly InterestsOur research is focused on how the activities of hundreds or even thousands of genes (gene parties) are coordinated to achieve biological meaning. We have pioneered methods to predict, dissect, and control large-scale gene regulatory programs; these methods have provided insights into human development, cancer, and aging.
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Mike Cherry
Professor (Research) of Genetics
Current Research and Scholarly InterestsMy research involves identifying, validating and integrating scientific facts into encyclopedic databases essential for research and scientific education. Published results of scientific experimentation are a foundation of our understanding of the natural world and provide motivation for new experiments. The combination of in-depth understanding reported in the literature with computational analyses is an essential ingredient of modern biological research.
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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
BioDr. Cong is leading a group in the Department of Pathology and Genetics at Stanford School of Medicine to pursue novel technology for scalable genome editing and single-cell genomics, and accompanying computational approaches inspired by data science. His group has a focus on studying immunology in the context of neuroscience, immunology, and infectious diseases.
He earned his Ph.D. from Harvard Medical School co-advised by Drs. Feng Zhang and George Church. He completed doctoral work primarily in Dr. Feng Zhang’s laboratory, where he published seminal studies on harnessing CRISPR/Cas9 for gene editing, including the most highly-cited paper in CRISPR field, with cumulative citation over 20,000 times. He has obtained over 20 issued patents as co-inventor, and his work led to one of the first FDA-approved clinical trials employing viral delivery of CRISPR/Cas9 for in vivo gene therapy. His later work applied single-cell RNA-seq to cancer drug discovery under Dr. Aviv Regev at the Broad Institute with Drs. Tyler Jacks and Vijay Kuchroo. He also made contribution to understanding structure and function of viral proteins from coronavirus focusing on SARS-CoV.
Dr. Cong is an awardee of the National Institute of Health NHGRI Genomic Innovator Award and Baxter Foundation Faculty Scholar. He was a Howard Hughes Medical Institute (HHMI) International Fellow, a Cancer Research Institute (CRI) Irvington Fellow, and was selected as Forbes 30 Under 30 Asia list of young innovators, MIT TechReview TR35 China, and 2019 “Top 10 under 40” by GEN (Genetic Engineering & Biotechnology News). -
Christina Curtis
Associate Professor of Medicine (Oncology) and of Genetics
Current Research and Scholarly InterestsThe Curtis laboratory is focused on the development and application of innovative experimental, computational, and analytical approaches to improve the diagnosis, treatment, and early detection of cancer.