Stanford University
Showing 121-130 of 167 Results
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Elham Rahimy, MD
Clinical Assistant Professor, Radiation Oncology - Radiation Therapy
BioDr. Rahimy is a radiation oncologist who treats patients with brain, spine, gastrointestinal, and metastatic tumors. She received her medical training at Yale, followed by residency at Stanford. She is a Clinical Assistant Professor with the Stanford Department of Radiation Oncology.
Dr. Rahimy's technical expertise includes CyberKnife Radiosurgery and MRI-guided adaptive planning. She is also actively involved in radiation oncology research and clinical trials. Her interests include improving patient and resident education, and enhancing patient quality of life and survivorship. She leads quality initiatives as a Quality Physician Improvement Leader, and serves as the Medical Student Clerkship Director. -
Jason B. Ross, MD, PhD
Assistant Professor of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly InterestsMy laboratory studies studying normal, dysfunctional, and malignant stem cells in the context of aging, cancer, and cancer therapies.
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Mrinmoy Sanyal
Casual - Non-Exempt, Radiation Oncology - Radiation Therapy
BioMrinmoy Sanyal obtained his undergraduate and master's degree in Human Physiology at the University of Calcutta. He did his Ph.D. in Biochemistry at All India Institute of Medical Sciences, New Delhi, working on reproductive immunology, with the focus on trophoblast invasion and differentiation and their role in human blastocyst implantation. Then, he moved to Stanford University for a postdoctoral fellowship on the role of transcription factor Pbx1, a leukemia proto-oncogene, on B cell development. Currently, he is Research Scientist at Department of Biochemistry, Stanford University. His work covers various topics, including B cell responses to viral infection and vaccination, human primary immunodeficiency, and biology of lymphocyte development and function and to elucidate etiology of immunological disorders.
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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.
