School of Medicine
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Lei (Stanley) Qi
Associate Professor of Bioengineering
BioDr. Lei (Stanley) Qi (publishes as Lei S. Qi) is an Associate Professor in the Department of Bioengineering at Stanford University, an Institute Scholar at Sarafan ChEM-H, and a Chan Zuckerberg Biohub Investigator. Trained in physics and mathematics (Tsinghua University) and bioengineering (UC Berkeley), he was a Systems Biology Fellow at UCSF before joining the Stanford faculty in 2014.
Qi is a pioneer in CRISPR technology and genome engineering. His lab created the first nuclease-deactivated Cas9 (dCas9) for targeted gene regulation, establishing CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa). Since then, his group has expanded CRISPR from an editing tool into a platform for programmable control of dynamic and spatial cell state, integrating scalable perturbation, live-cell and super-resolution imaging, and computation-guided design. This work has produced technologies for multiplexed transcriptome regulation, programmable 3D genome organization, spatial RNA logistics control, and real-time visualization of chromatin and transcriptional events in living cells.
A distinctive focus of the Qi lab is closed-loop biology, combining perturbation with high-content measurements to infer mechanisms and iteratively refine control strategies. The lab develops platforms spanning multiplexed transcriptional and epigenetic control, spatial genome–transcriptome organization, and quantitative live-cell imaging of chromatin and transcriptional dynamics. A compact nuclease-dead CRISPR epigenetic editor from this technology lineage has advanced to first-in-human clinical testing for facioscapulohumeral muscular dystrophy (FSHD; NCT06907875), underscoring the translational potential of principle-driven control systems.
Beyond single-cell control, Qi’s lab is building a framework for synthetic cell–cell communication, with particular emphasis on the bidirectional interplay between immune cells and neurons. The lab’s goal is to move beyond describing molecular parts to discovering fundamental control principles in living systems: how regulatory landscapes create stable states and memory, how spatial genome–RNA organization shapes dynamic responses, and how engineered cell–cell interactions can generate emergent multicellular behaviors. By integrating experimental bioengineering with computation and machine learning, the lab aims to identify generalizable rules linking molecular programs to systems-level physiology and disease trajectories and to translate those rules into next-generation therapeutic cells. -
Xiaojie Qiu
Assistant Professor of Genetics and, by courtesy, of Computer Science
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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Stephen Quake
Lee Otterson Professor in the School of Engineering and Professor of Bioengineering, of Applied Physics and, by courtesy, of Physics
Current Research and Scholarly InterestsSingle molecule biophysics, precision force measurement, micro and nano fabrication with soft materials, integrated microfluidics and large scale biological automation.
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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.
