Stanford University


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  • Abdullah Qatu, MD

    Abdullah Qatu, MD

    Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine

    BioDr. Qatu is a board-certified, fellowship-trained pain management specialist at the Stanford Health Care Pain Management Center. He is also a clinical instructor in the Department of Anesthesiology, Perioperative and Pain Medicine, Division of Pain Medicine, at Stanford University School of Medicine.

    He specializes in the diagnosis and management of many different types of pain, including nerve pain, joint pain, cancer pain, low back and neck pain. Dr. Qatu obtained his medical degree from the New York University (NYU) Grossman School of Medicine. He continued on at NYU to complete his residency in anesthesiology after completing an internship in general surgery. He subsequently completed his pain medicine fellowship at Stanford University School of Medicine.

    Dr. Qatu believes in utilizing a multimodal approach for pain management. This includes interventional, pharmacological, rehabilitative and psychological strategies. He is well-trained in a wide variety of interventional modalities that include injections, epidurals, nerve blocks, radiofrequency ablations, peripheral nerve stimulation, spinal cord/dorsal root ganglion stimulation and minimally invasive decompression. His research focuses on the clinical use of neuromodulation for various types of pain. In addition, he has investigated whether certain demographic and socioeconomic variables, as well as psychiatric illness, affect the outcomes of various orthopaedic traumas and surgeries. Dr. Qatu has presented his research at conferences throughout the U.S. and in Canada.

  • Lei (Stanley) Qi

    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.

  • Xiaoliang Qi

    Xiaoliang Qi

    Professor of Physics

    BioMy current research interest is the interplay of quantum entanglement, quantum gravity and quantum chaos. The characterization of quantum information and quantum entanglement has provided novel understanding to space-time geometry, and relate the dynamics of chaotic many-body systems to the dynamics of space-time, i.e. quantum gravity theory. Based on recent progress in holographic duality (also known as AdS/CFT), my goal is to use tools such as tensor networks and solvable models to provide more microscopic understanding to the emergent space-time geometry from quantum states and quantum dynamics.

    I am also interested in topological states and topological phenomena in condensed matter systems.

    You can find my recent research topics in some talks online:

    http://online.kitp.ucsb.edu/online/chord18/opgrowth/
    https://www.youtube.com/watch?v=__9VBaLfC6Y&t=42s
    http://online.kitp.ucsb.edu/online/qinfo_c17/qi/