School of Medicine
Showing 1-7 of 7 Results
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Lei (Stanley) Qi
Associate Professor of Bioengineering
BioDr. Lei (Stanley) Qi is an Associate Professor of Bioengineering, an Institute Scholar at Sarafan ChEM-H, and a Chan Zuckerberg Biohub Investigator. He earned B.S. in Physics and Mathematics from Tsinghua University and Ph.D. in Bioengineering from UC Berkeley. Before joining the Stanford faculty in 2014, Dr. Qi was a Systems Biology Faculty Fellow at UCSF.
Dr. Qi is a pioneer in CRISPR technology development, particularly in the areas of epigenetic regulation and chromatin DNA imaging. He invented the first nuclease-deactivated Cas9 (dCas9) system for targeted gene regulation in living cells. His lab has since expanded the CRISPR-dCas toolbox, including new tools and variants like hyperCas12a and the compact CasMINI. These new technologies have enabled CRISPRi and CRISPRa for targeted gene repression and activation in various cells and organisms, large-scale genetic perturbation screens, and precision epigenetic editing in primary cells. His lab also developed technologies for dynamic chromatin DNA imaging in live cells (LiveFISH), 3D genome structure manipulation (CRISPR-GO), and multiplexed transcriptome engineering (MEGA).
Dr. Qi has used these new technologies to make key discoveries in epigenetics, such as the synergistic functions of enhancer elements in cancer gene regulation, metabolic pathways in T cell dysfunction, and novel antivirals against RNA viruses. Dr. Qi’s current research explores synthetic biology, epigenetics, immune cell engineering, and innovative targets for gene therapy in immunology and neurobiology. -
Xiaojie Qiu
Assistant Professor of Genetics
Current Research and Scholarly InterestsAt the Qiu Lab, our mission is to unravel and predict the intricacies of gene regulatory networks and cell-cell interactions pivotal in mammalian cell fate transitions over time and space, with a special emphasis on heart evolution, development, and disease. We are a dynamic and interdisciplinary team, harnessing the latest advancements in machine learning as well as single-cell and spatial genomics by integrating the predictive power of systems biology with the scalability of machine learning,
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Shaun Quah
Postdoctoral Scholar, Psychiatry
BioThe current literature of neuroscience is lacking a unifying model of brain function. My goal is to use novel computational methods to improve our understanding of how different cognitive and emotional functions are hierarchically organized in the brain.
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Thomas Quertermous, MD
William G. Irwin Professor of Cardiovascular Medicine
Current Research and Scholarly InterestsUnderstanding genetic basis of cardiovascular function and disease.
