Stanford University
Showing 29,301-29,350 of 37,008 Results
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stephanie sherriff
Lecturer
BioStephanie Sherriff is an interdisciplinary artist, composer, and performer currently based in San Francisco, California. Their work with sound, video, and physical phenomena is ephemeral in nature and culminates as time-based installations and performances that deconstruct fragments of daily life through experimental processes. They received a BA from San Francisco State University in 2014 and an MFA in Art Practice from Stanford University in 2019. Their work has been featured both nationally and internationally at creative centers such as the Institute for Research Coordination in Acoustics/Music (IRCAM), the Sfendoni Theater, the Brooklyn Academy of Music (BAM), O. Festival, Gray Area, The Lab, Artists Television Access (ATA), and the Center for New Music (C4NM).
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Bill Sherrod
Hopkins Marine Station Associate Director, Hopkins Marine Station
BioBill is the Associate Director of Hopkins Marine Station where he is responsible for the strategic planning and execution of the station’s infrastructure and facility operations. He also guides government and community relations on its behalf.
Bill joined Stanford after serving as the principal of Trident Advisory Group, a consulting firm providing strategic guidance to technology startups, regional economic development organizations, and higher education institutions. An International Coaching Federation-educated coach, he also serves as a Fellow at Ordinary Hero Coaching. He also serves on the Monterey County Military and Veteran Affairs Commission and is a member of the Center for Ocean Leadership's Strategic Advisory Committee.
Previously, Bill served a 29-year career in the US Navy, where he led from the small unit to the enterprise-level in various roles of increasing responsibility in maritime, aviation, special operations, installation management, and higher education administration. His operational experience spans from blue water small craft operations to Nimitz-class nuclear-powered aircraft carrier operations, and includes accumulating nearly 2,000 hours flying the SH-60B Seahawk multi-mission helicopter in support of operations ranging from humanitarian assistance to counter-terrorism activities. He held executive leadership roles managing a 42,000-acre multi-service Department of Defense installation. Bill's military career concluded at the Naval Postgraduate School, where he served as Chief of Staff. He established the Office of Strategic Initiatives, serving as its director, and developed the institution's strategic framework. He also served as the Director, President’s Action Group, the Deputy Director (Navy) of the Naval Warfare Studies Institute, the Assistant Chief of Staff for Aviation Activities, and the Air Warfare Chair. -
Ben Sherwin
Ph.D. Student in Physics, admitted Autumn 2024
Graduate - Reader/Grader, Physics
Other Tech - Graduate, SLAC National Accelerator LaboratoryBioI am a Physics PhD student and NSF Graduate Research Fellow at Stanford, advised by Josh Frieman. I am interested in theoretical and observational cosmology, specifically in cross-correlations between the Cosmic Microwave Background and tracers of large-scale structure.
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Aditi Sheshadri
Assistant Professor of Earth System Science and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioI joined Stanford's Earth System Science department as an assistant professor 2018. Prior to this, I was a a Junior Fellow of the Simons Foundation in New York, and a postdoctoral research scientist at Columbia University’s Department of Applied Physics and Applied Math and the Lamont-Doherty Earth Observatory. I got my Ph.D. in Atmospheric Science at MIT's Department of Earth, Atmospheric, and Planetary Sciences, in the Program for Atmospheres, Oceans, and Climate, where I worked with R. Alan Plumb. I’m broadly interested in atmosphere and ocean dynamics, climate variability, and general circulation.
I'm particularly interested in fundamental questions in atmospheric dynamics, which I address using a combination of theory, observations, and both idealized and comprehensive numerical experiments. Current areas of focus include the dynamics, variability, and change of the mid-latitude jets and storm tracks, the stratospheric polar vortex, and atmospheric gravity waves. -
Vipul Sheth, MD, PhD
Assistant Professor of Radiology (Body MRI)
Current Research and Scholarly InterestsMy interests are in the development and translation of imaging technologies geared toward disease detection and characterization to better guide prognosis, treatment, and improve outcomes. I’m interested in supporting the development of MRI guided focal therapy methods which can personalize treatment and reduce the risk of morbidity from more invasive therapies.
Clinical Interests
- MRI for diagnosis of pelvic floor disorders
- MRI and PET/MRI to pelvic malignancies and lymph node staging.
- Whole Body MRI
- MRI guided procedures including biopsies, cryoablation, and high intensity focused ultrasound.
Translational Research Interests
- Development and translation of magnetic resonance imaging technologies to improve both diagnostics and therapeutics
- Molecular imaging and characterization of the tumor microenvironment
- Ultrashort echo time MRI applications in the body
- Developing synergistic MRI methods to complement PET in potential applications for PET/MRI -
Emily Shewmaker
Assistant Director, Programs and Grants, VPO PGP Operations
Current Role at StanfordAssistant Director of Programs & Research
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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.
