Stanford University


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  • Shuran Song

    Shuran Song

    Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science

    BioShuran Song is an Assistant Professor of Electrical Engineering at Stanford University. Before joining Stanford, she was faculty at Columbia University. Shuran received her Ph.D. in Computer Science at Princeton University, BEng. at HKUST. Her research interests lie at the intersection of computer vision and robotics. Song’s research has been recognized through several awards, including the Best Paper Awards at RSS’22 and T-RO’20, Best System Paper Awards at CoRL’21, RSS’19, and finalists at RSS, ICRA, CVPR, and IROS. She is also a recipient of the NSF Career Award, Sloan Foundation fellowship as well as research awards from Microsoft, Toyota Research, Google, Amazon, and JP Morgan.

    To learn more about Shuran’s work, please visit: https://shurans.github.io/

  • Suihong Song

    Suihong Song

    Physical Science Research Scientist, Energy Science & Engineering
    Postdoctoral Scholar, Energy Science and Engineering

    BioSuihong Song collaborates with Professor Tapan Mukerji at the Stanford Center for Earth Resources Forecast (SCERF) as a postdoctoral scholar. His research is centered on integrating machine learning with geosciences, specifically focusing on machine learning-based reservoir characterization and geomodelling, Physics-informed Neural Networks (PINNs) and neural operators as well as their applications in porous flow simulations, neural networks-based surrogate and inversion, decision-making under uncertainty, and machine learning-based geological interpretation of well logs and seismic data. These research endeavors have practical applications in managing underground water resources, oil and gas exploration, geological storage of CO2, and the evaluation of hydrothermal and natural hydrogen, among others.Song proposed GANSim, an abbreviation for Generative Adversarial Networks-based reservoir simulation, which presents a reservoir geomodelling workflow. This innovative approach has been successfully implemented in various 3D field reservoirs by international oil companies, including ExxonMobil.

  • Geoffrey Sonn

    Geoffrey Sonn

    Professor of Urology

    Current Research and Scholarly InterestsMy interest is in improving prostate cancer diagnosis through MRI and image-targeted prostate biopsy. In collaboration with radiologists at Stanford, we are working to define the optimal role of MRI in prostate cancer. We hope to improve cancer imaging to the point that some men with elevated PSA may safely avoid prostate biopsy. For those who need biopsy, we are evaluating novel MRI-US fusion targeted biopsy, a technique that greatly improves upon the conventional biopsy method.

  • Justin L. Sonnenburg

    Justin L. Sonnenburg

    Alex and Susie Algard Endowed Professor

    Current Research and Scholarly InterestsThe goals of the Sonnenburg Lab research program are to (i) elucidate the basic mechanisms that underlie dynamics within the gut microbiota and (ii) devise and implement strategies to prevent and treat disease in humans via the gut microbiota. We investigate the principles that govern gut microbial community function and interaction with the host using a broad range of experimental approaches including studies of microbiomes in diverse human cohorts.

  • Irene Sonu

    Irene Sonu

    Clinical Associate Professor, Medicine - Gastroenterology & Hepatology

    BioI am passionate about gut health and strive to provide the best care to my patients. I specialize in complex motility disorders of the gastrointestinal tract. My areas of clinical expertise include achalasia, dysphagia, eosinophilic esophagitis, gastroesophageal reflux disease, gastroparesis, functional dyspepsia, irritable bowel syndrome, and pelvic floor dysfunction. I also see patients in need of fecal microbiota transplant for recurrent C. difficile infection.

  • Steven Soo

    Steven Soo

    Clinical Assistant Professor, Medicine

    BioSteven Soo, MD, is a Clinical Assistant Professor in the Division of Hospital Medicine at Stanford. Born and raised in the Pacific Northwest, he earned his undergraduate degree in chemical engineering from Oregon State University and began his career in the paper and semiconductor manufacturing industries before pivoting to medicine. Dr. Soo completed medical school and internal medicine residency at New York University Grossman Long Island School of Medicine. In addition to his clinical responsibilities, he has been actively involved in a range of quality improvement and research projects. His academic interests include cardiology, with particular focus on cardio-oncology and advanced heart failure, as well as systems-based strategies for improving patient care and clinical operations.