School of Medicine


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  • Hoda Hashemi

    Hoda Hashemi

    Postdoctoral Scholar, Radiological Sciences Laboratory

    BioHoda S. Hashemi is a postdoctoral scholar at the Ultrasound Imaging & Instrumentation Lab at Stanford University. She received her PhD in Electrical and Computer Engineering from the University of British Columbia (UBC) in 2023. She was also an ultrasound research intern in research and innovation team at DarkVision Technologies Inc. from 2021 to 2023. She holds a M.A.Sc. from Concordia University and a B.Sc. from Sharif University of Technology. Her research interests are ultrasound molecular imaging, elastography and AI in medical image processing. Her research has been funded by the NIH T32 Fellowship at Stanford, the Canadian NSERC Postdoctoral Fellowship, and the Ultrasound Imaging & Instrumentation Lab at Stanford University.

  • Robert Holland

    Robert Holland

    Postdoctoral Scholar, Radiology

    Current Research and Scholarly InterestsMy research focuses on developing self-supervised methods for aiding image-based clinical decision making and accelerating the discovery of new, prognostic biomarkers for disease. I am now advancing these applications by developing foundation models that integrate longitudinal, multimodal medical data from population-scale cohorts.

  • Skylar Holmes

    Skylar Holmes

    Postdoctoral Scholar, Radiology

    BioDr. Holmes’ research focuses on understanding the mechanisms behind knee osteoarthritis (KOA) development and creating biomechanically-driven, evidence-based interventions to improve mobility. I aim to develop objective methods to characterize pain in KOA, identifying pain profiles linked to worsening symptoms and functional decline. Utilizing functional MRI, mechanical pain sensitivity tests, and imaging of muscles and the knee joint, Dr. Holmes’ work seeks to clarify disease progression and identify biomarkers to enhance clinical care and reduce the burden of KOA. Dr. Holmes earned her PhD in Kinesiology from the University of Massachusetts Amherst and her MS and BS in Kinesiology from California State University Fullerton.

  • Elima Hussain

    Elima Hussain

    Postdoctoral Scholar, Radiology

    BioDr. Elima is working with GE Healthcare on developing rapid dual-contrast PET/MRI protocols for staging and assessment of rectal cancer. She is also working on development of AI based segmentation models for muscle and fat separation using pelvic MRI images in pelvic floor disorder patients. This project is undergoing in collaboration with Stanford AIMI center and AWS cloud computation support. Her research interests include translation of quantitative MRI and PET/MRI, radiomics, machine learning for predicting treatment response in rectal cancer, gynecologic malignancies, and inflammatory bowel diseases.