School of Medicine
Showing 641-660 of 1,300 Results
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Linxi Shi
Sr Res Scientist-Physical, Rad/Radiological Sciences Laboratory
BioI am a medical physicist and imaging scientist with over a decade of experience in CT imaging, algorithm development, and AI-driven reconstruction. I earned my Ph.D. in Medical Physics from the Georgia Institute of Technology, where I developed novel artifact corrections and reconstruction algorithms for cone beam computed tomography, focusing on applications in breast cancer diagnosis and image-guided radiation therapy.
Following my doctoral studies, I completed a postdoctoral fellowship with the Stanford Cancer Imaging Training (SCIT) Program. Currently, I serves as a Senior Research Scientist in the Radiological Sciences Laboratory at Stanford University. My research focuses on developing advanced clinical translational x-ray and CT imaging systems, including algorithm design for tomographic reconstruction, artifact correction, and image processing for various imaging modalities. -
Run Zhang Shi
Clinical Associate Professor, Pathology
Current Research and Scholarly InterestsClinical chemistry and therapeutic drug monitoring;
adult and pediatric clinical endocrine testing;
screening, detection and follow up of multiple myeloma;
tumor markers;
clinical utility of tandem mass spectrometry and high resolution mass spectrometry. -
Junming Seraphina Shi
Postdoctoral Scholar, Radiation Biology
BioI am a postdoctoral fellow at Stanford University, jointly mentored by Dr. Mohammad Shahrokh Esfahani and Dr. Md Tauhidul Islam. My research focuses on developing robust statistical machine learning methods for noninvasive, cost-effective cancer diagnostics, with applications in early detection, treatment monitoring, and precision oncology.
I received my Ph.D. from UC Berkeley, where my dissertation centered on advancing biostatistical machine learning approaches for complex biomedical challenges. My work addressed causal inference for continuous treatments, bias and measurement patterns in ICU electronic health records, and deep learning–based biclustering and prediction of cancer-drug responses. Across these projects, I developed interpretable and scalable tools for analyzing high-dimensional, multimodal clinical data.
At Stanford, I continue to build novel statistical learning frameworks tailored to real-world clinical needs—particularly through the analysis of liquid biopsy (cell-free DNA) and cancer imaging data. My current work aims to improve cancer detection and monitoring, with a focus on noninvasive, accessible, and clinically meaningful solutions to pressing challenges in oncology. I enjoy interdisciplinary collaborations and working across fields to drive innovation in biomedical research. Deeply committed to cancer research, I aim to bridge rigorous computational methodology with patient-centered impact by designing tools that are scalable, equitable, and translational. -
Palca Shibale
Postdoctoral Scholar, Plastic and Reconstructive Surgery
BioShibale, Palca is a post-doctoral fellow in the Hagey Laboratory under mentorship of Dr. Derrick Wan and Michael Longaker. She earned her BS in Molecular and Cellular Biology at the University of Washington (UW), her MS in Medical Physiology and Biophysics at Case Western University and her MD from UW. She has previously conducted translational research on drug efficacy and clinical research in trauma and vascular surgery. Her current works focus on understanding the mechanisms of tissue regeneration and fibrosis with nano materials and as well, the roles of fibroblast subpopulations in the foreign body response model
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Vivian Shih, MD
Clinical Associate Professor, Orthopaedic Surgery
BioDr. Vivian Shih received her Bachelor of Science with honors and Doctor of Medicine degree from the University of Miami. In 2002, she completed her postgraduate medical training in Physical Medicine and Rehabilitation at the Feinberg School of Medicine at Northwestern University and the Rehabilitation Institute of Chicago (Shirley Ryan Ability Lab). She is board certified in Physical Medicine and Rehabilitation (PM&R or Physiatry) and specializes in non-surgical management of musculoskeletal disorders, arthritis, gait and balance disorders. She also performs electrodiagnostic testing (EMG/NCS), ultrasound guided joint/soft tissue injections, and platelet rich plasma (PRP) injections. Dr. Shih previously practiced in the New Haven area from 2005 to 2018. She was an Attending Physician at Yale-New Haven Hospital and on faculty at the Yale School of Medicine. Prior to that, she had been practicing at Northwestern University Medical Center and the Rehabilitation Institute of Chicago. She has published in the Arthritis and Rheumatism journal, Academy of Physical Medicine & Rehabilitation (AAPM&R) online review, Archives of Physical Medicine and Rehabilitation journal, and Koopman's Arthritis and Allied Health textbook. She is a member of the AAPM&R, Association of Academic Physiatrists (AAP), and the American Association of Neuromuscular & Electrodiagnostic Medicine (AANEM).
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Hiroyuki Shimada
Professor of Pathology and, by courtesy, of Pediatrics
BioHiroyuki Shimada, MD, PhD, FRCPA (Hon), is Professor of Pathology and of Pediatrics at the Stanford University Medical Center. He was born in Tokyo, Japan, and completed MD (1973) and PhD (1982) at the Yokohama City University School of Medicine, Yokohama, Japan, and also completed his pathology training at the Children's Hospital (now the Nationwide Children’s Hospital) and the Ohio State University, Columbus, Ohio, USA (1988). Before moving to the Stanford University in 2019, he was Professor of Pathology (Clinical Scholar) at the University of Southern California Keck School of Medicine and working at the Children’s Hospital Los Angeles.
Dr. Shimada was Chair of the International Neuroblastoma Pathology Committee (1999-2017) and the founder of the International Neuroblastoma Pathology Classification (INPC). As Director of the COG (Children’s Oncology Group) Neuroblastoma Pathology Reference Laboratory (since 2001), he has been actively reviewing pathology samples of ~700 neuroblastoma cases per year from United States, Canada, Australia, and New Zealand. Pathology review results according to the INPC have been providing critical information for patient stratification and protocol assignment in the COG international neuroblastoma clinical trials.
