School of Medicine


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  • Raheleh Roudi

    Raheleh Roudi

    Basic Life Research Scientist, Rad/Pediatric Radiology

    BioRaheleh Roudi is a research scientist in the Department of Radiology at Stanford University. Dr. Roudi trained at the Iran University of Medical Sciences, Iran. She worked as an Assistant Professor at the Iran University of Medical Sciences, Iran from 2015 to 2019, before coming to the United States. During this time, Dr. Roudi worked on several projects which have led to successful collaborations with the Karolinska Institute; Charite Universitatsmedizin Berlin; Oslo University Hospital; National University of Singapore; Shanghai University of Traditional Chinese Medicine and University of Brescia, among other internationally recognized institutions.
    Dr. Roudi was a visiting scientist in the University of Texas at San Antonio and then appointed as a postdoctoral associate at the University of Minnesota for one year, before joining Stanford University in 2022.
    Her research interest focuses on the molecular oncology and immunotherapies of solid tumors and she published more than 40 peer reviewed papers.

  • Daniel Rubin

    Daniel Rubin

    Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), Emeritus

    Current Research and Scholarly InterestsMy research interest is imaging informatics--ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care. Work in our lab thus lies at the intersection of biomedical informatics and imaging science.

  • Mirabela Rusu

    Mirabela Rusu

    Assistant Professor of Radiology (Integrative Biomedical Imaging Informatics) and, by courtesy, of Biomedical Data Science and of Urology
    On Leave from 2026-08-01 To 2027-05-31

    Current Research and Scholarly InterestsDr. Mirabela Rusu focuses on developing analytic methods for biomedical data integration, with a particular interest in radiology-pathology fusion. Such integrative methods may be applied to create comprehensive multi-scale representations of biomedical processes and pathological conditions, thus enabling their in-depth characterization.

  • Rabeya Tus Sadia

    Rabeya Tus Sadia

    Postdoctoral Scholar, Radiology

    BioI am currently working on multimodal and multitask foundation models for cancer detection and surgical video analysis. My research focuses on medical image and video segmentation, MRI and ultrasound analysis, foundation models, reinforcement learning, and AI agents. My broader research spans generative modeling, causal machine learning, multimodal learning, large language models, state-space models, spatial and single-cell omics, structured data analysis, and trustworthy artificial intelligence. My goal is to develop clinically meaningful, interpretable, fair, and reliable AI methods for real-world biomedical and healthcare applications.

  • Triya Saha

    Triya Saha

    Postdoctoral Scholar, Radiology

    BioDr. Triya Saha is a postdoctoral scholar at Stanford University, Department of Radiology, specializing in tissue engineering, regenerative medicine, biomaterials, therapeutic delivery, and translational biomedical engineering. Dr. Saha earned her Ph.D. in Biological Sciences and Bioengineering from the Indian Institute of Technology Kanpur, India, where her doctoral research focused on developing clinically relevant bioengineered therapeutic platforms for chronic fatty liver disease. Her research involved the development of 3D bioprinted hepatic patches and sprayable bioadhesive hydrogels for targeted delivery of stem cell-derived exosomes, with a focus on tissue regeneration, immunomodulation, fibrosis reversal, and gut-liver crosstalk. Her expertise includes biomaterial design, 3D bioprinting, hydrogel engineering, exosome-based therapeutics, in vitro and in vivo disease models, and translational regenerative medicine.