Stanford University
Showing 10,281-10,300 of 13,050 Results
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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. -
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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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.
