Stanford University
Showing 24,381-24,400 of 35,700 Results
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Patrick Phillips
Eavan Boland Professor
BioPatrick Phillips is the author of Blood at the Root: A Racial Cleansing in America, which was named a best book of the year by the New York Times, the Boston Globe, and Smithsonian, and received an American Book Award from the Before Columbus Foundation. He is also the author of four poetry collections, including Elegy for a Broken Machine, which was a finalist for the National Book Award, and Song of the Closing Doors, published in 2022. Phillips has received support from the Guggenheim Foundations, the National Endowment for the Arts, the New York Public Library's Cullman Center for Writers and Scholars, and the Carnegie Foundation, as well as a Fulbright Fellowship at the University of Copenhagen, and the Lyric Poetry Award of the Poetry Society of America. He is the Eavan Boland Professor of English and Creative Writing at Stanford.
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Paul Phillips
Professor (Teaching) of Music
Current Research and Scholarly InterestsHave recorded music by Adolphus Hailstork with Stanford Philharmonia, the Stanford Symphony Orchestra, and guest artists for inclusion on a commercial recording with a projected completion date in 2025.
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Anthony T. Pho
Affiliate, Office of Postdoctoral Affairs
BioAnthony Pho PhD, MPH, ANP-C (he/him) is a primary care nurse practitioner at the Stanford LGBTQ+ Health Program, where in addition to his clinical and precepting responsibilities, he works with Stanford’s Gender Recognition and Affirmative Care through Education (GRACE) initiative as the Senior Clinical Education Lead to promote culturally competent LGBTQ+ care throughout the health enterprise. He was formerly a postdoctoral clinical scholar with The PRIDE Study/PRIDEnet at Stanford School of Medicine where he was an inaugural Propel Postdoctoral Scholar. Dr. Pho earned his PhD from Columbia University School of Nursing, where he was a Robert Wood Johnson Foundation Future of Nursing Scholar. He has held an adjunct faculty appointment at NYU Meyers College of Nursing since 2013. Dr. Pho’s doctoral research that explored online health information seeking, eHealth literacy, and human papillomavirus vaccination among transgender and gender diverse people, was awarded the Columbia Nursing Dissertation Excellence Award. He also earned BSN, MSN, and MPH degrees from Johns Hopkins University, and a BA from UC Berkeley.
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Ashley Phoenix
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Ashley Phoenix earned her B.S. in Biological Sciences from the College of Charleston, where her passion for neuroscience first took root through undergraduate research on drug seeking behavior at the Medical University of South Carolina. She went on to complete an M.S. in Biomedical Sciences at the University of Alabama at Birmingham, strengthening her scientific foundation before earning her M.D. at Wake Forest University School of Medicine.
Her research career has spanned diverse yet interconnected realms of neuroscience — from investigating post-stroke cognitive decline at MUSC, to exploring the neurodevelopmental basis of disorders such as Rett syndrome at the NIH National Institute of Environmental Health Sciences, to contributing to neurosurgery research at Wake Forest with a focus on cognition and perioperative outcomes.
Now, as a Postdoctoral Research Fellow in the Neuroanesthesia Laboratory of Dr. Miles Berger at Stanford, Dr. Phoenix is uniting her lifelong fascination with the brain and cognitive decline, and her future clinical practice in anesthesiology. Her current work focuses on elucidating the mechanisms behind — and developing early detection strategies for — postoperative delirium in the elderly surgical population.
Through this fellowship, Dr. Phoenix is building the foundation for her career as a physician-scientist, committed to advancing patient care while pursuing research that safeguards cognitive health in the perioperative setting. -
Keven Pi
Undergraduate, Vice Provost for Undergraduate Education
Bio650 788 4801
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Pamela Piacente-Rhodes, PA-C, MA
Affiliate, Central Mgmt-Misc AR
BioPamela Piacente-Rhodes, PA-C, MA, is Physician Assistant (PA) in the Department of Urology at Stanford Healthcare. She is a graduate of D'Youville College PA Program in Upstate New York. She also obtained a Masters Degree in Microbiology from the State University of New York at Buffalo. Initially trained in Urologic Oncology Robotic Surgery at Roswell Park Comprehensive Cancer Center in Buffalo, New York. She continues to clinically practice in the area of Urologic Oncology, specializing in Robotic Assisted Laparoscopic Surgery.
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Piero Pianetta
Professor (Research) of Photon Science and of Electrical Engineering
BioPianetta's research is directed towards understanding how the atomic and electronic structure of semiconductor interfaces impacts device technology pertaining to advanced semiconductors and photocathodes. His research includes the development of new analytical tools for these studies based on the use of synchrotron radiation. These include the development of ultrasensitive methods to analyze trace impurities on the surface of silicon wafers at levels as low as 1e-6 monolayer (~1e8 atoms/cm2) and the use of various photoelectron spectroscopies (X-ray photoemission, NEXAFS, X-ray standing waves and photoelectron diffraction) to determine the bonding and atomic structure at the interface between silicon and different passivating layers. Recent projects include the development of high resolution (~30nm) x-ray spectromicroscopy with applications to energy materials such as Li batteries.
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Tanmoy Sarkar Pias
Postdoctoral Scholar, Urology
BioI am currently working on multimodal, multi-task foundation models to detect cancer and improve surgery. I am exploring image segmentation models, foundation models, and reinforcement learning with agents. My previous work spans a range of directions, including knowledge-guided machine learning models, systematic evaluation of high-risk models, mitigation of deficiencies and biases, automatic generation of gradient-based test cases, decision boundary estimation and analysis of deep learning models, and developing approaches to make machine learning models more fair and reliable.
