School of Medicine
Showing 501-550 of 1,299 Results
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Shagufta Shaheen
Clinical Assistant Professor, Medicine - Oncology
BioDr. Shaheen specializes in the gastrointestinal malignancies and she has expertise in treating neuroendocrine tumors (NETs). Following her fellowship in Hematology and Oncology, Dr Shaheen completed an advanced fellowship in Neuroendocrine tumors from Stanford University. The NET advanced fellowship is first of its kind in United State started under the leadership of Dr Pamela Kunz who is the founding Director of the Stanford Neuroendocrine Tumor Program established in 2015. After completing her advanced fellowship, Dr Shaheen joined Stanford Oncology division as Clinical Assistant Professor. Dr Shaheen is involved in further developing the neuroendocrine oncology program at Stanford which serves as a centre of excellence in the treatment of neuroendocrine tumors. Dr Shaheen is actively involved in clinical research and clinical trials. Dr Shaheen is also involved in taking care of patients admitted to the oncology service as well as resident and fellow teaching.
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Mohammad Shahrokh Esfahani
Assistant Professor of Radiation Oncology (Radiation and Cancer Biology)
BioWith a primary focus on high-dimensional data, I have significant expertise in developing machine learning tools. Much of my work involves constructing Bayesian models, which effectively convert 'prior knowledge', either inherent in the dataset or obtained from external sources, into mathematical terms—more specifically, prior probabilities.
My recent research efforts have centered on the analysis of genetic and epigenetic signals within cell-free DNA assays. This interest in epigenetics led to the development of a pioneering technique known as EPIC-seq, which has broadened our understanding of this complex field.
It's notable that traditional computational methods in cancer genomics often fall short when confronted with an exceedingly low signal-to-noise ratio—a common scenario in cfDNA analyses. As such, there's an emerging need to devise innovative, robust methods capable of overcoming this limitation—a research area that I'm deeply committed to and actively engaged in. -
Shailja
Postdoctoral Scholar, Radiological Sciences Laboratory
BioDr. Shailja is a Postdoctoral researcher in the Radiological Science Laboratory at Stanford. She recently completed her PhD in Electrical and Computer Engineering at the University of California, Santa Barbara. Her research vision is to model healthcare data for precise diagnostics using AI and to integrate domain knowledge to "close the loop" between surgeons, physicians, and scientists. Her Ph.D. dissertation focused on developing a principled approach to model the white matter pathways in the human brain to analyze the topology of brain connections. At the Radiological Science Laboratory, she will primarily focus on mapping MRI structural and functional connectivity imaging data with electrophysiological measurements in the same patients.
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Kiarash Shamardani
Ph.D. Student in Cancer Biology, admitted Summer 2019
Other Tech - Graduate, Office of Technology Licensing (OTL)Current Research and Scholarly InterestsInterested in a systems neuroscience approach to understanding the interaction of tumor cells and their microenvironment in brain cancer. I am studying the neuron-glioma interactions at the circuit level to discern how patterns of activity within a neuron-glioma network influences the behavior of the cancer as a whole.
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Mehrdad Shamloo
Professor (Research) of Neurosurgery and, by courtesy, of Neurology and Neurological Sciences
Current Research and Scholarly InterestsThe ultimate goal of the Shamloo laboratory is to rapidly advance our understanding of brain function at the molecular, cellular, circuit and behavioral levels, and to elucidate the pathological process underlying malfunction of the nervous system following injury and neurologic disorders such as stroke, Alzheimer's disease, Parkinson’s disease, and autism. We have been focusing on the noradrenergic system and approaches leading to restoration of brain adrenergic signaling in these disorders.
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Hua Shan
Professor of Pathology
BioDr. Shan specializes in providing blood transfusion and apheresis treatment to patients with diverse medical problems. She has been practicing transfusion medicine for over twenty five years. Dr. Shan currently serves as the Medical Director of Transfusion Service at Stanford Medical Center. Dr. Shan has also been leading research and education programs in the fields of transfusion safety, optimizing clinical blood transfusion practice and blood availability.
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Tong Shan
Postdoctoral Scholar, Psychiatry
BioTong completed her Ph.D. at the University of Rochester. She also holds an M.S. in Biostatistics from Northwestern University and a B.S. in Medical Imaging from Sichuan University.
In her research, Tong has explored topics such as subcortical and cortical neural responses to naturalistic speech and music, neural mechanisms underlying musical perception, and the impact of visual cues on speech-in-noise comprehension.
Currently, Tong is involved in the Speaker-Listener projects, where she investigates brain activities related to natural communication. She is excited to deepen her understanding of auditory processing of speech during communication and its implications for improving quality of life, particularly in clinical populations such as individuals with ASD, AD, etc.
Outside of her research, Tong is a music producer, creating original songs and soundtracks for video games. She has a passion for exploring the intersection of art and technology. -
Vikram Shankar, MD
Clinical Instructor, Ophthalmology
BioDr. Shankar, MD, MPH, is a board-certified, fellowship-trained ophthalmologist at the Stanford Health Care Byers Eye Institute. He is also a clinical instructor in the Department of Ophthalmology at Stanford University School of Medicine.
Dr. Shankar’s clinical focus is the medical and surgical care of cataracts and adult glaucoma, including premium lenses and minimally invasive glaucoma surgery (MIGS). Dr. Shankar’s research and professional interests include ophthalmic public health, biomedical devices, and digital health. He has a particular interest in the intersection of entrepreneurship, public health, and ophthalmology, aiming to find innovative solutions that will impact millions of patients.
Dr. Shankar has published research on lung cancer metastasis to the optic nerve, pharmacologic therapies in glaucoma, and surgical outcomes with a novel glaucoma device. He has also delivered presentations nationwide on topics including screening rates for diabetic retinopathy based on insurance type and socioeconomic factors, Medicaid expansion, and health disparities.
Dr. Shankar completed a combined MD/MPH at Washington University in St. Louis School of Medicine. He earned the Albert F. Koetter, MD Scholarship; Dean’s Research Fellowship; and Jonathan Mann Fellowship as a medical student. He completed his ophthalmology residency at the Wills Eye Hospital in Philadelphia, PA. He subsequently completed his fellowship in glaucoma at the Stanford Byers Eye Institute.
Dr. Shankar is the cofounder of a seed-stage ophthalmic medical device startup that aims to improve patient safety and mitigate the environmental impact of eye care worldwide.
Dr. Shankar is a member of the American Academy of Ophthalmology. -
Jacqueline Erin Shanley
Casual - Non Exempt, Psych/General Psychiatry and Psychology (Adult)
BioJacqueline is a psychology doctoral student in the PGSP-Stanford PsyD Consortium Program. She has multiple years of experience working in healthcare settings; she has both worked with patients who have autoimmune conditions and varying forms of dementia, alongside their families. Her research and clinical interests include health psychology, women's health, and relationships science.
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Kat Adams Shannon
Postdoctoral Scholar, Psychology
BioKat studies how young children adapt their attention and learning behaviors to best match different early environments, with particular focus on understanding variability and strengths in contexts of early adversity. A key aim of her research is to create and collaborate on innovative uses of technology and statistical methods to support education and developmental science.
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Lucy Shapiro
Virginia and D. K. Ludwig Professor, Emerita
Current Research and Scholarly InterestsA basic question in developmental biology involves the mechanisms used to generate the three-dimensional organization of a cell from a one-dimensional genetic code. Our goal is to define these mechanisms using both molecular genetics and biochemistry.
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Naima G. Sharaf
Assistant Professor of Biology and, by courtesy, of Structural Biology
Current Research and Scholarly InterestsResearch in the lab bridges biology, microbiology, and immunology to translate lipoprotein research into therapeutics
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Paul Sharek MD, MPH
Professor of Pediatrics (Hospital Medicine) at the Lucile Salter Packard Children's Hospital, Emeritus
Current Research and Scholarly InterestsResearch interests centered on hospital based quality of care improvement, and in particular pediatric patient safety. Areas of recent interest include developing practical tools to more accurately identify adverse medical events and to establish national rates of these adverse events. Additional areas of interest focus on developing the processes and systems to decrease the frequency of adverse drug events and adverse medical events at Children's hospitals in North America
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Husham Sharifi
Clinical Assistant Professor, Medicine - Pulmonary, Allergy & Critical Care Medicine
BioI am a Clinical Assistant Professor in the Division of Pulmonary, Allergy, and Critical Care Medicine in Stanford University School of Medicine. In addition to seeing patients in the intensive care unit (ICU), I focus my research and clinical practice on transplant-related pulmonary fibrosis, which includes fibrotic lung disease after lung transplant or after hematopoietic cell transplant. My research applies advanced computational analysis to clinical metadata and quantitative imaging data, domains that draw on my training in engineering and bioinformatics. In the clinical setting I see patients in a Lung Graft-versus-Host-Disease (GVHD) Clinic for individuals with pulmonary complications after life-saving hematopoietic cell transplant. Our clinic is part of a national Lung GVHD Consortium comprising Stanford, Fred Hutchinson Cancer Center, University of Michigan, and MD Anderson Cancer Center. In this context I am the site co-Principal Investigator for two national clinical trials through the Lung GVHD Consortium that are funded by the National Institutes of Health. The first trial uses a home spirometry device and monitoring system to study the association of Lung GVHD with respiratory viral infections. The second trial studies the diagnostic and prognostic utility of quantitative CT scans of the chest for Lung GVHD. My goal is to fuse detailed, communicative patient care with the advances of data science in medicine that I research and study.
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Aditi Sharma
Basic Life Research Scientist, Pediatrics - General Pediatrics
Current Role at StanfordResearch Scientist
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Disha Sharma
Postdoctoral Scholar, Cardiovascular Medicine
BioI am a computational biologist with more than 12 years of extensive experience aiming to pursue career in developing translational medicine- and healthcare-oriented solutions. I have Ph.D. in bioinformatics with technical expertise for next-generation sequencing assays, genome-wide association studies, bulk and single-cell multi-omics analysis, R, python, shell Scripting, cloud computing, Data structure and algorithms, as well as machine and deep learning algorithms. I have solid background in genomics, transcriptomics, epigenomics and metagenomics. I have worked with both complex and rare genetic disorders performing data analysis, data interpretation, data curation with clinical data and databases.
I am presently a postdoctoral fellow at Stanford University for 4 years now where my main focus is to understand the genetic risks of cardiometabolic diseases using GWAS, integrating modalities including single-cell multiomics, CRISPR perturbation datasets. I am working on building machine learning models and use statistical genetics tools using large biobanks including UKBiobank, AllofUS and MVP.
