Stanford University
Showing 11-20 of 175 Results
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Santino S. Butler, MD
Clinical Assistant Professor, Radiation Oncology - Radiation Therapy
BioSantino Butler, MD, is a radiation oncologist who treats a broad range of malignancies, with a particular clinical focus in high-dose-rate brachytherapy for gynecologic cancers. He has published more than 30 peer-reviewed research articles, including first-author publications in several highly-cited medical journals such as the New England Journal of Medicine (NEJM), the Journal of the American Medical Association (JAMA), the Journal of the American Medical Association–Oncology (JAMA Oncology), and the Journal of the American College of Cardiology–CardioOncology (JACC CardioOncol); He has presented his work at several major medical conferences throughout the country.
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Mark Buyyounouski, MD, MS, FASTRO
Professor of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly InterestsPatient-centered and artificial intelligence-augmented medical decision making
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Rishabh Chaudhari, MD
Clinical Assistant Professor, Radiation Oncology - Radiation Therapy
BioDr. Chaudhari is a radiation oncologist with the Stanford Medicine Cancer Center and a clinical assistant professor in the Department of Radiation Oncology at Stanford University School of Medicine.
In every case, he develops a comprehensive, compassionate care plan personalized to the unique needs of each patient. His goal is always to deliver innovative, compassionate care of the highest quality to help each patient achieve the best possible outcome.
Dr. Chaudhari conducts research into leading-edge treatments, allowing him to offer the most advanced care options. He has investigated stereotactic body radiation therapy for non-small cell lung cancer and for pancreatic adenocarcinoma. He has also studied the effects of radiotherapy on breast cancer stem cells and extramedullary plasmacytomas. He also is currently studying the use of proton beam therapy on recurrent head and neck cancers.
Dr. Chaudhari has presented his research findings at meetings of the Radiation Research Society, Society for Thermal Medicine, American Society for Radiation Oncology, and World Congress of Brachytherapy. He has published articles on radiotherapy for non-small cell lung cancer in the journal Lung Cancer: Targets and Therapy. He also co-authored the chapter “Renal and Adrenal Vasculature: Anatomy and Imaging” in the textbook Image-Guided Interventions. He has served as a reviewer for Cancer Medicine.
In previous positions, Dr. Chaudhari served on committees dedicated to care quality assurance and to the monitoring of cancer care protocols. Other areas of interest include radiation oncology department operations and advising radiation oncology residents.
Dr. Chaudhari is a member of the American Society for Radiation Oncology. -
Sijie Chen
Postdoctoral Scholar, Radiation Physics
BioI am a postdoctoral fellow working with Dr. Lei Xing at Stanford University, where I develop trustworthy autonomous AI agents and foundational informatics systems for single-cell biology. My long-term vision is to build auditable computational infrastructure and virtual cell models that transform massive single-cell atlases into reliable, steerable systems for mechanistic discovery across tissues, diseases, and species. My doctoral work with Prof. Xuegong Zhang established my foundation in single-cell bioinformatics and atlas-scale integration, which I have since extended into large-scale representation modeling, AI agent workflows, and LLM-driven scientific discovery. My current work focuses on developing governed, agentic lifecycles for continuous single-cell data curation and foundation model evaluation, while applying these autonomous systems to power cross-organ virtual cell retrieval and simulate immune-tolerance breakdown.
My ongoing efforts build directly upon my prior work in atlas integration and algorithmic development. As the first author of hECA (Chen et al., 2022), I built a unified human cell atlas integrating one million high-quality cells across 38 organs with a logic-expression query interface. This experience exposed the central bottlenecks—such as heterogeneous formats and ontology grounding—that I now address using LLM-powered agents to enable autonomous metadata harmonization and iterative quality control. I am converting manual curation into an autonomous, agent-driven paradigm where new datasets are continuously ingested and versioned in a traceable manner. Furthermore, my co-development of TorchGW for cell state alignment, TFcomb for perturbation prediction, and TransMap for cross-species alignment provides the algorithmic foundation for next-generation cell foundation models and virtual cell simulation.
By integrating these components into trustworthy, benchmarked, and human-in-the-loop AI infrastructure, my research bridges scalable scientific computing with complex biomedical questions. Through close collaboration with Prof. Edgar Engleman, I am utilizing immune-tolerance breakdown—specifically focusing on a tolerogenic dendritic cell program—as a mechanistic testbed to validate our virtual cell simulations. A core focus of my work is ensuring that every agent-generated hypothesis and retrieved state remains bound to the exact data and model checkpoints that produced it, making findings fully re-derivable as the biological knowledge base evolves. Ultimately, I aim to advance the frontier of trustworthy autonomous single-cell informatics, bridging AI agents, virtual cell engineering, and biological discovery.
