School of Medicine
Showing 11-20 of 63 Results
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Neeladrisingha Das
Postdoctoral Scholar, Radiation Physics
BioNeel is a postdoc fellow in the Pratx lab at Stanford University. He is currently working on the role of radiotherapy in cancer cell death and the various mechanism involved in radio-induced cell death. Neel comes from a very small town in Odisha, India (Athgarh) and had schooling in his hometown. He had a keen interest in animal biology and started his B.S in Zoology at Gopabandhu Science College, Athgarh. Later he did his M.S in Zoology from Sambalpur University, Odisha, India. He carried out his doctoral studies at the Indian Institute of Technology Roorkee in the lab of Prof. Partha Roy. His main study was on the anti-cancer activity of various natural-based products and their mechanism of action. Neel is a trained cell and molecular biologist. His research interest includes- Cancer cell death mechanisms and developing therapeutics for cancer stem cells and metastasis.
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Edward Graves
Associate Professor of Radiation Oncology (Radiation Physics) and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsApplications of molecular imaging in radiation therapy, development of hypoxia and radiosensitivity imaging techniques, small animal image-guided conformal radiotherapy, image processing and analysis.
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Bin Han
Clinical Associate Professor, Radiation Oncology - Radiation Physics
Current Research and Scholarly InterestsDevelopment of an advanced EPID-based dosimetric solution
Ultrasound system for image guided prostate cancer treatment,
Depth sensing and 3D-printing techniques for total body irradiation
AI applications in predicting treatment effectiveness and cancer recurrence -
Dimitre Hristov
Associate Professor of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsDevelopment and integration of X-ray, MRI and US imaging technologies for radiation therapy guidance; Design of synergistic approaches to radiation therapy delivery; Treatment planning optimization and modeling.
