Stanford University
Showing 29,001-29,050 of 37,021 Results
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Sejal Shah
Clinical Associate Professor, Pediatrics - Endocrinology
Current Research and Scholarly InterestsMy primary research interest is evaluating whether vitamin D supplementation can positively affect consequences of the metabolic syndrome in overweight and obese adolescents. Other research interests include evaluating the efficacy and biochemical profiles of various types of estrogen replacement in adolescent females.
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Serena Shah
Ph.D. Student in History, admitted Autumn 2021
Stanford Stdnt Employee-Summer, History DepartmentBioSerena is a PhD candidate in History in the United States field. She is in her fifth year and she works on the history of ideas in the nineteenth century, especially Americans' ideas about antiquity. Her dissertation investigates the history of oriental scholarship in the United States. It examines Americans' post-Civil War investment in pre-classical antiquity, and the 3,000-4,000 year-old history of the Bronze Age Orient (the site of the most ancient "Eastern" civilizations, or the modern Middle East). She is also currently writing a research article on Greek and Roman slave-naming practices and the classicism of American slavery.
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Sumit Shah
Clinical Associate Professor, Medicine - Oncology
Clinical Associate Professor (By courtesy), UrologyBioDr. Sumit Shah is a medical oncologist specializing in the management of advanced urologic malignancies, including prostate, bladder, kidney, and testicular cancers. He is actively involved in clinical trials, with a particular focus on novel immunotherapy agents and biomarkers to select patients most likely to benefit from therapy. His academic interests also encompass digital health technologies and innovative healthcare delivery models. He has lectured internationally on the management of urologic cancers and currently serves on the National Cancer Center Network (NCCN) Panel for testicular cancer.
Dr. Shah graduated with distinction in biomedical engineering from Duke University, earned his MD from Stanford University, and completed a Master of Public Health at Harvard University. He trained in internal medicine at the University of California, San Francisco (UCSF), where he remained on faculty for one year before returning to Stanford for his fellowship in medical oncology. He now holds a faculty position in the Department of Medicine (Oncology) at Stanford.
In addition to his clinical and research roles, Dr. Shah serves as Medical Director of Digital Healthcare Integration and Director of Infusion Services at Stanford Hospital. He is also Assistant Dean of Academic Advising in the Stanford School of Medicine. -
Yash Shah
Ph.D. Student in Computer Science, admitted Autumn 2025
Current Research and Scholarly InterestsMy research interests lie in developing neuroconnectionist mechanistic models of the brain that deepen our understanding of neural computation and representations. I aim to explore how physiological and anatomical constraints shape cortical topography and, in turn, scaffold development. I am particularly intrigued by observing certain behaviors emerge from mechanistic models, even when the model was not optimized to do so.
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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)
BioI lead a computational oncology laboratory that develops machine learning and statistical methods for high-dimensional genomics, with particular expertise in Bayesian and uncertainty-aware modeling to integrate prior biological knowledge with large-scale datasets.
Our research centers on liquid biopsy analytics—especially cell-free DNA (cfDNA)—to noninvasively quantify genetic and epigenetic states relevant to cancer detection, monitoring, and tumor evolution. We developed EPIC-seq, a fragmentomics-based method that uses cfDNA fragmentation patterns to infer regulatory activity and gene expression programs, providing a scalable framework for epigenetic profiling from blood.
A core methodological focus of the lab is enabling reliable inference in extremely low signal-to-noise settings that are typical of cfDNA and early-stage disease. We build robust, interpretable models and benchmarking frameworks that support clinical translation, with the long-term aim of democratizing access to sensitive, minimally invasive cancer diagnostics. -
Hormoz Shahrzad
Graduate, Medicine, Psychiatry and Behavioral Sciences
BioHormoz has worked on many topics in evolutionary computation, both in theory and practice. His master's thesis focused on BLADE, a method for automatically focusing evolutionary search on the most promising part of the genome, with the search distributed over multiple hosts. He is currently a PhD candidate at UT Austin, continuing his research at the Cognizant AI Lab (https://www.cognizant.com/us/en/ai-lab) and as a visiting student researcher at Stanford University, where he is working on his dissertation.
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Mohammed Abdul Saqhlain Shaik
Temp - Non-Exempt, Ophthalmology Research/Clinical Trials
BioSaqhlain is a Research Assistant at the Byers Eye Institute, where he applies his expertise in data science and statistical analysis to ophthalmic research. He holds a master’s degree in Statistics - Data Science from Cal State University East Bay and a bachelor’s degree in Computer Science from Hyderabad, India.
His work focuses on data analysis, management, and standardization of ophthalmic imaging data to support clinical research. He collaborates with researchers to design and execute data-driven projects, ensuring data quality control and validation. Additionally, he assists with data acquisition, statistical analysis, and streamlining research workflows to enhance efficiency in ophthalmology studies.
Saqhlain is particularly interested in leveraging data science to improve research methodologies and facilitate insights in medical imaging. -
Shailja
Postdoctoral Scholar, Radiological Sciences Laboratory
BioShailja is an engineer and computational scientist interested in the modeling of the human brain to study neurological diseases and guide neurosurgeries. As a Wu Tsai Neuroscience Institute’s postdoctoral fellow with Prof. Jennifer A. McNab and Prof. Josef Parvizi, she investigates tractography-based neurosurgical targeting. She is interested in mapping the whole brain structural connectivity network from diffusion MRI to functional connectivity in the human brain. Shailja received her PhD in Electrical and Computer Engineering from the University of California, Santa Barbara and BS from Electrical Engineering Department, Indian Institute of Technology, Kharagpur. Her doctoral research is on Reeb graphs for modeling white matter fibers in the human brain, which was awarded the Winifred and Louis Lancaster Best PhD Dissertation at UC Santa Barbara.
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Cory Shain
Assistant Professor of Linguistics and, by courtesy, of Psychology
BioI lead the Laboratory for Computation & Language in Minds & Brains (CLiMB Lab). We try to figure out how our brains let us go so efficiently from sensation (e.g., speech, reading) to meaning, and we do this using a combination of neuroimaging, computer modeling, and behavioral experiments. See the lab website for details.
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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 thirty years. Dr. Shan served as the Medical Director of Transfusion Service at Stanford Medical Center from 2015 to 2026. 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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Richard Shan
Affiliate, Rad/Integrative Biomedical Imaging Informatics at Stanford
BioRichard Shan is an AI researcher focused on mechanistic interpretability and retrieval-augmented generation. His work centers on building pipelines to evaluate and optimize reasoning in large language models, including novel architectures for feature identification and correctness evaluation. He develops applied systems that combine AI with linguistics, such as a modular refreshable Braille device and computational methods for reconstructing ancient languages. Outside of technical work, Richard enjoys playing frisbee.
