Stanford University
Showing 1,601-1,650 of 3,575 Results
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Michael Shewmaker
Lecturer
BioMichael Shewmaker is the author of Leviathan (2023) and Penumbra (2017), winner of the Hollis Summers Poetry Prize. Born in Texarkana, Texas, he is the recipient of fellowships from the Bread Loaf Writers’ Conference, the Sewanee Writers’ Conference, and Stanford University, where he was a Wallace Stegner Fellow. His recent poems appear in Best American Poetry, The Believer, Harvard Review, Oxford American, Ploughshares, Southern Review, and elsewhere. He is a Jones Lecturer in poetry at Stanford University and lives in the San Francisco Bay Area with his wife, Emily.
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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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Linnea Shieh
Head Librarian, Terman Engineering Library, Engineering Library
Current Role at StanfordHead Librarian, Terman Engineering Library
Curator for Linguistics -
Helen Shih, MSN, NP
Affiliate, IT Services
BioHelen Shih is an endocrine oncology NP who works with patients with benign and malignant neuroendocrine tumors, bridging the gaps between medical, surgical and endocrine oncology. She manages endocrinology immunotherapy adverse related events, and sees patients on clinical trials with neuroendocrine tumors including adrenal cortical carcinomas and thyroid cancers which require immunotherapy or targeted therapies. In addition, she has started her own thyroid nodule clinic.
Helen has been an NP since 2009, but her journey into hematology/oncology world, started in 2014, when working with a hematology/oncology practice in SF. From there, she worked at UCSF for 5 years in thoracic and sarcoma oncology. Helen was the primary NP in clinical trials investigating new treatment strategies for thoracic and sarcoma malignancies.
Prior to 2014, Helen worked as a primary care nurse practitioner for the San Francisco Department of Public Health and as a registered nurse in Weill Cornell Medicine's pulmonary step-down unit.
Shih graduated as an adult nurse practitioner from the Columbia University School of Nursing. Previously, she had received a bachelor's degree in molecular cell biology from the University of California, Berkeley, followed by a master of public health degree in epidemiology from the University of California, Los Angeles.
Her interests and hobbies include nature, dogs, dance classes, cooking, and creative endeavors.
