Stanford University


Showing 61-70 of 99 Results

  • Shengtian Sang

    Shengtian Sang

    Postdoctoral Scholar, Radiology

    BioShengtian Sang is currently a post-doctoral scholar at the Laboratory of Artificial Intelligence in Medicine and Biomedical Physics in the department of Radiation Oncology at Stanford University. He received his Ph.D. degree from the College of Computer Science and Technology, Dalian University of Technology, Dalian, China. His current research interests are high-dimensional data mining, medical image computing, and machine learning. In his Ph.D. study, he worked on the biomedical literature-based discovery and data mining.

  • Sushruta Surappa

    Sushruta Surappa

    Postdoctoral Scholar, Radiology

    BioSushruta Surappa is a postdoctoral researcher at the Canary Center for Early Cancer Detection at Stanford University. His current research focuses on developing various MEMS-based tools for the separation and capture of extracellular vesicles for medical diagnostics. Sushruta received his MS (‘15) and PhD (‘21) degrees in Mechanical Engineering from Georgia Institute of Technology, where he developed a new class of nonlinear MEMS transducers with applications in wireless power transfer, sensing and energy harvesting. He is passionate about developing low-cost, miniature technologies for medical diagnostics and is a keen proponent of science communication.

  • Zahra Shokri Varniab

    Zahra Shokri Varniab

    Postdoctoral Scholar, Radiology

    BioZahra Shokri Varniab, MD, studied medicine at Tehran University of Medicine Sciences, Iran, and earned her medical degree in 2020. Her goal in novel cellular and molecular imaging is to develop novel in vivo imaging approaches to visualize, characterize and quantify molecular and cellular processes involved in developing brain tumors. She intends to utilize non-invasive imaging techniques to assess tumor microenvironment to understand their role in cancer, develop a method for determining tumor profiles, and also using brain MR Imaging to assess treatment response. She hopes cancer to be history.

  • Shashi Singh

    Shashi Singh

    Postdoctoral Scholar, Radiology

    BioAs a postdoctoral scholar at Stanford University's Department of Radiology since 2023, I have the privilege of contributing to Dr. Heike E. Daldrup-Link's laboratory, where my research focuses on clinical and translational molecular imaging. My work is dedicated to the development and application of artificial intelligence algorithms for the automated detection and monitoring of pediatric cancers, including lymphoma and sarcomas, using PET and MRI. This encompasses AI-driven multimodal pediatric lymphoma detection, automating the Deauville score, and predicting post-chemotherapy responses in pediatric osteosarcomas. Additionally, I am investigating the effects of iron-oxide nanoparticles on tumor-associated macrophages in osteosarcoma using MRI. My professional journey in medicine began with two years as a physician in Nepal (2019-2021), where I gained a profound understanding of diverse and complex disease conditions. Subsequently, I served as a research scholar at the Hospital of the University of Pennsylvania (2021-2023), working with PET/CT using various radiotracers across multiple domains, including hematological malignancies, aging, musculoskeletal, neurological, psychiatric, infectious, inflammatory, and cardiovascular diseases. Outside of my professional pursuits, I enjoy exploring local restaurants, going for long drives, hiking, and playing sports such as soccer, cricket, and volleyball. I also love spending time on the beaches.