School of Medicine
Showing 101-166 of 166 Results
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Everett J. Moding, MD, PhD
Assistant Professor of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly InterestsMy laboratory performs translational research using analysis of human samples to identify critical mediators of treatment resistance that can be validated in preclinical models and targeted to enhance the efficacy of cancer therapy.
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Sakib Mostafa
Postdoctoral Scholar, Radiation Physics
BioI am a Postdoctoral Research Fellow at Stanford University with a background in computational genomics and deep learning. My research focuses on developing AI-powered tools for genomic analysis, with a particular interest in cancer classification, pangenomes, and genotype imputation. Previously, I worked as a Research Officer at the National Research Council of Canada, contributing to large-scale sequencing projects and machine learning interfaces for biologists. I am passionate about bridging domain biology with cutting-edge computational methods to solve complex biological questions and drive innovation in precision agriculture and healthcare.
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Prithvi Mruthyunjaya, MD, MHS
Alan Adler Professor of Ophthalmology and Professor, by courtesy, of Radiation Oncology
Current Research and Scholarly InterestsDr Mruthyunjaya has maintained a broad research interest with publications in both ocular oncology and retinal diseases.
His focus is on multi-modal imaging of ocular tumors and understanding imaging clues that may predict vision loss after ocular radiation therapy. He coordinates multi-center research on the role of genetic testing and outcomes of treatments of ocular melanoma.
In the field of retinal diseases, his interests are in intra-operative imaging to enhance surgical accuracy. -
Rohollah Nasiri
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsMy current research focuses on developing tumor-on-a-chip models for preclinical radiation therapy research.
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Jinghong Penny Peng
Clinical Instructor, Radiation Oncology - Radiation Physics
Current Research and Scholarly Interests1. IMRT Treatment planning
2. IGRT Radiation Therapy
3. Real time prostate implant
4. 4D CT and Respiratory Gating Radiation Therapy
5. HDR for breast cancer and GYN cancer
6. Xoft Electronic Brachytherapy -
Guillem Pratx
Associate Professor of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsThe Physical Oncology Lab is interested in making a lasting impact on translational cancer research by building novel physical tools and methods.
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Yushen Qian, MD
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
BioDr. Qian is a board-certified radiation oncologist and a Clinical Associate Professor in the Stanford University School of Medicine, Department of Radiation Oncology.
In his clinical practice, he sub-specializes in genitourinary (including prostate and bladder cancer) and Head and Neck malignancies, but also treats a broad spectrum of other disease subsites including lung/thoracic, gastrointestinal, brain, lymphoma, and breast tumors. For each patient, he develops a comprehensive, individualized, and compassionate care plan customized to individual needs. His goal is to deliver the most effective cancer treatment to help patients enjoy the best possible health and quality of life.
In addition to his clinical practice, Dr. Qian serves as the Medical Director of Radiation Oncology at Stanford South Bay Cancer Center. He also serves as the Radiation Oncology Network Director of Clinical Research and has spearheaded opening of multiple NRG Oncology clinical trials at Stanford South Bay Cancer Center.
Dr. Qian is also actively involved in the Stanford Radiation Oncology residency program. He created and oversees a monthly mentorship roundtable series to assist residents with multiple aspects of their clinical training and career progression.
Outside of work, Dr. Qian enjoys spending time with his family and exploring the great outdoors of Northern California. -
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)
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. -
Junming Seraphina Shi
Postdoctoral Scholar, Radiation Biology
BioI am a postdoctoral fellow at Stanford University, jointly mentored by Dr. Mohammad Shahrokh Esfahani and Dr. Md Tauhidul Islam. My research focuses on developing robust statistical machine learning methods for noninvasive, cost-effective cancer diagnostics, with applications in early detection, treatment monitoring, and precision oncology.
I received my Ph.D. from UC Berkeley, where my dissertation centered on advancing biostatistical machine learning approaches for complex biomedical challenges. My work addressed causal inference for continuous treatments, bias and measurement patterns in ICU electronic health records, and deep learning–based biclustering and prediction of cancer-drug responses. Across these projects, I developed interpretable and scalable tools for analyzing high-dimensional, multimodal clinical data.
At Stanford, I continue to build novel statistical learning frameworks tailored to real-world clinical needs—particularly through the analysis of liquid biopsy (cell-free DNA) and cancer imaging data. My current work aims to improve cancer detection and monitoring, with a focus on noninvasive, accessible, and clinically meaningful solutions to pressing challenges in oncology. I enjoy interdisciplinary collaborations and working across fields to drive innovation in biomedical research. Deeply committed to cancer research, I aim to bridge rigorous computational methodology with patient-centered impact by designing tools that are scalable, equitable, and translational. -
Lawrie Skinner
Clinical Associate Professor, Radiation Oncology - Radiation Physics
BioLawrie Skinner, PhD DABR is a therapeutic medical physicist with clinical expertise in external beam radiation therapy, including advanced motion management techniques and MRI-guided radiation therapy.
Research interests generally revolve around developing novel devices for advanced clinical practice. Examples include personalized 3D printed electron beam collimators, rotating couch overlays for total body radiation therapy, and radiotransparent audio visual communication and immersion displays.
Dr skinner also has a research background in synchrotron x-ray scattering, neutron scattering, molecular dynamics and Monte Carlo computational modelling. -
Scott G. Soltys, MD
Professor of Radiation Oncology (Radiation Therapy) and, by courtesy, of Neurosurgery
Current Research and Scholarly InterestsMy clinical and research interests focus on the development of new radiation techniques involving stereotactic radiosurgery and radiotherapy for the treatment of malignant and benign tumors of the brain and spine, as well as functional disorders such as trigeminal neuralgia.
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Gregory Arthur Szalkowski
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
Current Research and Scholarly InterestsWorkflow automation, radiotherapy quality assurance, machine learning
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Nicholas Trakul, MD, PhD
Clinical Professor, Radiation Oncology - Radiation Therapy
BioDr. Nicholas Trakul is a radiation oncologist with Stanford Medicine Cancer Center and clinical associate professor of Radiation Oncology-Radiation Therapy with Stanford School of Medicine. Dr. Trakul serves as Medical Director for Stanford Medicine Radiation Oncology in Pleasanton and for the Stanford Medicine I Sutter Health Cancer Collaborative in Castro Valley.
Dr. Trakul completed residency training at Stanford in 2013 and then joined the faculty at the University of Southern California, where he specialized in head and neck and central nervous system malignancies, with an emphasis on stereotactic radiosurgery (SRS) and stereotactic ablative radiotherapy (SABR/SBRT). He is widely published as first author in peer-reviewed journals. His research focus involves the creation of novel clinical databases as well as outcomes in the treatment of head and neck, gastrointestinal and thoracic malignancies. In 2017, Dr. Trakul returned to Stanford Medicine, becoming the Medical Director of Stanford Medicine Radiation Oncology in Pleasanton. In 2020, he was named Medical Director of Stanford Radiation Oncology Network Sites. Dr. Trakul served as medical directorship of Eden Radiation Oncology Center from 2022 to 2023, the first site to become operation under the Stanford/Sutter Cancer Collaborative. In 2024, he was named Vice Chair and Director of the Radiation Oncology Network. In November of 2024, Dr. Trakul was named Medical Director of Alta Bates Herrick Radiation Oncology. He is focused on providing access to high quality radiation therapy, collaboration with community health care systems and creating/maintaining productive and high engagement workplace culture. He believes in providing personalized, high-quality care, and bringing new technology to the East Bay, allowing patients to access cancer care while staying connected to their communities and support networks. -
Lei Wang
Clinical Professor, Radiation Oncology - Radiation Physics
BioLei Wang, PHD, DABR, is a clinical professor in the Department of Radiation Oncology at Stanford, motivated in advancing patient quality of care, improving education for residents and trainees, and conducting clinical research to improve the quality and accuracy in treatment delivery. She is an expert in CyberKnife SRS/SBRT with more than 15 years of experiences. She currently serves as the chair of the AAPM task group 135.B committee on quality assurance for robotic radiosurgery.
Research interest: small field dosimety, machine and patient quality assurance, treatment planning, etc; new QA tool and methodology development; new treatment technology implementation to keeping high standard in patient care. -
Ziwei Wang
Postdoctoral Scholar, Radiation Therapy
Current Research and Scholarly InterestsMy current work focuses on establishing preclinical platforms to rapidly validate the functional impact of genetic alterations in tumors using both cell and genetically engineered mouse models. We hope this system can accelerate the discovery and translation of novel cancer therapies to patients.
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Zachary Bruce White II
Affiliate, Department Funds
Resident in Radiation Oncology - Radiation TherapyBioI am a physician-leader committed to advancing equitable health care through both clinical care and national policy. My journey into medicine began in childhood, when my mother survived breast cancer. It was a formative experience that ignited my passion for oncology and my resolve to improve care for those most in need.
A native of Birmingham, Alabama, I graduated summa cum laude from Tuskegee University and earned my MD from the University of South Alabama College of Medicine. I currently serve as one of the Chief Residents in Radiation Oncology at Stanford University.
In 2024, I was appointed by the President of the United States as a White House Fellow, serving in the Office of the Secretary at the Department of Veterans Affairs. In that role, I contributed to enterprise-wide efforts to improve care delivery and advance innovation within the nation’s largest integrated health care system, serving as Special Advisor to the Deputy Secretary and supporting senior leadership through policy analysis.
I am also the Immediate Past Chair of the Association of Residents in Radiation Oncology (ARRO), where I championed resident advocacy, expanded mentorship and advanced equity across the field of radiation oncology. Beyond my clinical and policy work, I engage deeply with my community, leading health-education initiatives through my church to reduce disparities and promote health in underserved populations.
I remain committed to a career at the intersection of medicine and policy, working to build a health care system where high-quality, compassionate care is accessible to all. -
Jinxi Xiang
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsI develop machine leanring methods to autonomate the digital pathology.
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Lei Xing
Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization
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Zi Yang
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
BioDr. Zi Yang is a Clinical Assistant Professor in the Department of Radiation Oncology at Stanford University. Dr. Yang completed the CAMPEP-accredited Therapeutic Medical Physics residency at Stanford University. She earned her M.S. in Medical Physics from Duke University and Ph.D. in Biomedical Engineering - Medical Physics track at the University of Texas Southwestern Medical Center. Her research focuses on developing and translating novel AI techniques to enhance radiation therapy, which spans a range of medical physics areas, including target segmentation, outcome prediction, and clinical workflow improvement. She is a recipient of the American Association of Physicists in Medicine (AAPM) Research Seed Funding Grant.
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Jiangbin Ye
Assistant Professor, Radiation Oncology - Radiation and Cancer Biology
Current Research and Scholarly InterestsOne hallmark of cancer is that malignant cells modulate metabolic pathways to promote cancer progression. My professional interest is to investigate the causes and consequences of the abnormal metabolic phenotypes of cancer cells in response to microenvironmental stresses such as hypoxia and nutrient deprivation, with the prospect that therapeutic approaches might be developed to target these metabolic pathways to improve cancer treatment.
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Juwon Yoo
Affiliate, Radiation Oncology
Biojuwon.yoo@berkeley.edu
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Sandra Zaky
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
BioDr. Zaky is a board certified Radiation Oncologist. She received a Bachelor’s of Science in Biomedical/Electrical Engineering at Marquette University. She worked in research and development as an Engineer, and eventually received a Masters of Science in Immunology from Albany Medical College. Her research thesis focused on a novel therapy to treat hormone-receptor positive breast cancer. She continued to study breast cancer with her research during her Radiation Oncology residency; she integrated her research in the laboratory with her clinical research in triple-negative breast cancer. Since completing residency, she has worked as a general radiation oncologist, and her special interests include breast cancer, skin cancer, CNS tumors and stereotactic radiotherapy.
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Hao Zhang
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
BioHao Zhang is a Clinical Assistant Professor in the Department of Radiation Oncology at Stanford University. He earned his PhD in Biomedical Engineering from Stony Brook University, followed by a two-year postdoctoral fellowship at Johns Hopkins University. After completing his clinical physics training through the Stanford University Medical Physics Residency Program, he served as an Assistant Attending Physicist and Assistant Member at Memorial Sloan Kettering Cancer Center for five years.
His research interests include the development of novel imaging techniques, mathematical modeling of imaging systems and their underlying physics, integration of sophisticated models into iterative or deep learning-based reconstruction methods, and the translation of these approaches to clinical applications in both diagnostic imaging and image-guided radiation therapy. -
Man Zhao
Postdoctoral Scholar, Radiation Biology
BioMy research primarily focuses on the molecular mechanisms, signaling pathways, and therapeutic targets underlying cancer metabolism, particularly the m6A demethylase FTO. I am also actively exploring the interplay between tumor metabolism and tumor immunity, with the goal of identifying novel metabolic vulnerabilities for cancer treatment.
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Tianyu Zhao
Postdoctoral Scholar, Radiation Biology
Current Research and Scholarly InterestsHow p53 affects the tissue homeostasis in lung cancer and injury.
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Xiaoxu Zhong
Postdoctoral Scholar, Radiation Physics
BioI am a Postdoctoral Fellow in the Guillem Pratx Lab, with an expertise in predictive modeling, algorithm development, and data science. I earned my Bachelor of Science and Master of Science degrees in Ocean Engineering from Shanghai Jiao Tong University. I then received a Ph.D. in Mechanical Engineering from Purdue University, where I focused on developing mathematical models and applying machine learning. My work uncovered the mechanisms behind autoinjectors, drug delivery, and cavitation bubbles, with applications in tumor treatment and the design of medical devices. Currently, I am combining computational modeling and experimental approaches to positron emission tomography imaging, aiming to improve tumor diagnosis and treatment. I am also investigating how ionizing radiation nucleates nano-sized bubbles.
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Zixia Zhou
Postdoctoral Scholar, Radiation Physics
BioZixia Zhou is a postdoctoral researcher at Department of Radiation Oncology, Stanford University. Before starting her postdoc, she received a Ph.D. degree in Biomedical Engineering in 2021 from Fudan University. She is interested in improving medical imaging quality in cost-effective manners with artificial intelligence. Broadly, her research focuses on high spatio-temporal ultrasound image reconstruction and high-dimensional data reduction and visualization.
