Stanford University
Showing 41-60 of 61 Results
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Bijie Ren
Visiting Instructor, Radiation Oncology - Radiation Physics
BioBijie Ren is a quantitative biologist as well as a pro bono academic advisor for the SATORI Institute for Complexity and Emergence (SICE). Inspired by electrical engineering and synthetic biology courses at MIT, he developed a profound interest in integrating digital logic into synthetic biotechnology. He earned his Ph.D. in Quantitative Biology from UC San Diego and was a Postdoctoral Fellow at the Carnegie Institution for Science at Stanford University. His expertise lies at the intersection of AI and synthetic biology, built a high throughput cellOS to quickly Decode-Design-Recode novel species, with a specific focus on engineering microalgae to foster a better ocean ecosystem, discovery of anti-aging chemicals/peptides with new technology and real-world ground-truth data generation for virtual cell training and AlphaFold improvement. The whole pipeline can quickly help scientists to discover novel protein targets involved in aging process, design new chemical/peptide to target on these proteins and validate their effect in the wet lab to see if these molecules can extend single cell life span. The ingredients can be used for cosmetic, cosemtic injection, healthcare food and pharmacy sequentially. And with powerful cell factory and new synbio technology, he can reduce the R&D and manufacture cost by log scale.
In his advisory role at SICE, he also collaborated with distinguished faculties from top universities to initiate local "Labrary", aiming to empower young students to succeed in both academia and industry. -
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. -
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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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. -
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 and an American Board of Radiology–certified medical physicist in the Department of Radiation Oncology at Stanford University. She completed her CAMPEP-accredited residency in Therapeutic Medical Physics at Stanford. Dr. Yang earned her M.S. in Medical Physics from Duke University and her Ph.D. in Biomedical Engineering - Medical Physics track from the University of Texas Southwestern Medical Center.
Her research focuses on the development and clinical translation of artificial intelligence methods to enhance radiation therapy, including applications in target segmentation, outcome prediction, and workflow optimization. She is a recipient of the American Association of Physicists in Medicine (AAPM) Research Seed Funding Grant. -
Hao Zhang
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
Current Research and Scholarly Interests- Artificial Intelligence for Medical Imaging
- Novel Imaging Systems
- Medical Image Reconstruction, Segmentation, Registration, and Analysis
- Image-Guided Radiation Therapy
- Motion Management in Radiation Therapy
