School of Medicine


Showing 1-20 of 33 Results

  • Mausam Kalita

    Mausam Kalita

    Physical Science Research Professional 2, Rad/Molecular Imaging Program at Stanford

    Current Role at StanfordSenior Research Scientist: a) cold chemical synthesis— Synthesis of the 12C and 19F- HPLC standards and precursors for 11C- and 18F- labeling
    b) Radiosynthesis— Introduction of 11C or 18F radioisotopes into small molecules to develop novel PET tracers, that can track activated myeloid cells in neurodegenerative disease, c) radiometal labeling— 64Cu and 89Zr labeling of monoclonal antibodies that target immune receptors, d) clinical translation— To follow FDA guidelines for translating preclinically validated tracers into humans in the cyclotron and radiochemistry facility (CRF) of the Stanford University

  • Aya Kamaya, MD

    Aya Kamaya, MD

    Professor of Radiology (Body Imaging)

    Current Research and Scholarly InterestsHepatobiliary imaging
    Hepatocellular carcinoma
    Urologic imaging
    Gynecologic imaging
    Thyroid imaging
    Novel ultrasound technologies
    Perfusion CT imaging of abdominal tumors

  • Xiaojian Kang

    Xiaojian Kang

    Affiliate, Rad/Radiological Sciences Laboratory

    BioDr Kang received his PhD in Physics and MS in Computer Science from Indiana University Bloomington in September of 1998. Then he joined Diagnostic Imaging Science Center at University of Washington in Seattle for postdoctoral research.
    In September of 2000, he worked as an MR Physicist in the Human Cognitive Neurophysiology Laboratory in Department of Neurology at University of Californian at Davis. His tasks were to maintain and modify the sequences for MR research on a 3 T Siemens Verio scanner and a 1.5 T Philips Eclipse scanner, and develop new procedures for MR data analysis, statistics and visualization. He has published 40+ papers to introduce the innovative methods for MR data analysis, which including the local landmark method, high-resolution space method, and cortical surface projection mapping method, and automated method to detect brain abnormalities. All of the methods have been applied successfully to the MR researches in the lab.
    In September of 2017, he joined as an MR Physicist in Palo Alto Veterans Institute for Research (PAVIR) at VA Palo Alto and the Adamson Brain Stimulation Lab in the Department of Neurosurgery at Stanford University.His main tasks are to participate in the research projects using GE and Siemens MR scanners funded by Department of Veterans Affairs and Department of Defense, and administration of windows and linux servers for neuroimaging studies.

    Professional Education
    •PhD in Physics, Indiana University Bloomington (1998).
    •MS in Computer Science, Indiana University Bloomington (1998).
    •MS in Electronic Engineering, Xi’an Jiaotong University, P. R. China (1987).
    •BS in Electronic Engineering, Xi’an Jiaotong University, P. R. China (1984).

  • Kathryn (Katie) Kapp

    Kathryn (Katie) Kapp

    Postdoctoral Scholar, Radiology

    Current Research and Scholarly InterestsI am interested in using mass spectrometry to study protein glycosylation, a complex post-translational modification that is known to be heavily altered in cancer. Protein glycosylation could improve early cancer detection. I am using mass spectrometry to study protein glycosylation in a variety of clinical samples and cancers, but I am particularly interested in proximal fluid samples to develop sources of less invasive biomarkers.

  • Andrew Kesselman

    Andrew Kesselman

    Clinical Associate Professor, Radiology

    Current Research and Scholarly InterestsCurrently studying the role of interventional therapies in caval filtration, venous thromboembolism and primary and metastatic hepatic malignancies.

  • Harold Keyserling

    Harold Keyserling

    Clinical Associate Professor (Affiliated), Rad/Veterans Affairs
    Neuroradiologist, Radiology - Diagnostic Radiology

    BioHarold Keyserling, MD is a diagnostic radiologist with subspecialty certification in neuroradiology. In addition to his clinical work, Dr. Keyserling is actively engaged in resident education and is a consulting radiologist for the Centers for Disease Control and Prevention (CDC), Division of Global Migration Health.

  • Donghoon Kim

    Donghoon Kim

    Postdoctoral Scholar, Radiology

    BioDr. Donghoon Kim is a postdoctoral scholar at Stanford's Center for Advanced Functional Neuroimaging. His research focuses on developing cutting-edge techniques for analyzing multimodal neuroimaging using deep learning-based methods.

    Before joining Stanford, he earned his Ph.D. in Biomedical Engineering from University of California, Davis. His Ph.D. thesis was titled "Deep Learning-Driven Technical Developments and Clinical Applications of Arterial Spin Labeling MRI". During his Ph.D. studies, he focused on the development of advanced deep learning techniques for ASL MRI, and its clinical applications. During his master's degree in Biomedical Engineering at Virginia Tech-Wake Forest University, he studied the functional connectivity of the default mode network using resting state BOLD fMRI among youth football players.

  • Johanna Kim

    Johanna Kim

    Executive Director, Center for Artificial Intelligence in Medicine and Imaging, Rad/Thoracic Imaging

    BioJohanna specializes in launching and leading world-class research programs. At Stanford AIMI, she plays a pivotal role in the development and design of all programs, particularly focusing on research and education programs, funding opportunities, and major events. Her leadership extends to shaping partnership programs, fundraising, and enhancing AIMI's outreach strategies. Skilled in building strong teams and fostering interdisciplinary collaborations, Johanna adeptly navigates the complexities of the academic and healthcare sectors. Her strategic support has been invaluable in advancing technology development, securing substantial research funding, and elevating the impact of publications. Johanna’s 20-year career is marked by her commitment to transforming healthcare through innovative technology.

  • Jeffrey Howard Kleck

    Jeffrey Howard Kleck

    Adjunct Professor, Rad/Molecular Imaging Program at Stanford

    BioDr. Jeff Kleck

    Current Roles
    Adjunct Professor, Stanford University School of Medicine — Stanford, California
    Senior Partner, Eleven of Ten (Elevens) — Menlo Park, California
    Chairman, Open Power & Energy Network (OPEN) — Menlo Park, California
    Senior Advisor, United States Department of Defense (US DoD) — Pentagon, Arlington, Virginia

    Previous Academic Appointments
    Dean of Academics, Catholic Institute of Technology (CIT) — Cambridge, Massachusetts & Castel Gandolfo, Italy
    Adjunct Associate Professor, University of California, Los Angeles (UCLA)
    Visiting Scientist, Lawrence Berkeley National Laboratory (LBNL)
    Visiting Scientist, Los Alamos National Laboratory (LANL)

    Previous Commercial Technology Ventures
    President and Board Member, Rapid AI
    Founder, CEO, and Chairman of the Board, Attainia
    Founder, CEO, and Chairman of the Board, Neoforma

    Previous Government Service
    Director, Defense Innovation Unit (DIU), United States Department of Defense (US DoD)

    Education
    Ph.D., Biomedical Physics, University of California, Los Angeles (UCLA)
    M.S., Engineering Management, Stanford University, Stanford
    M.S., Nuclear Engineering, Texas A&M University, College Station (TAMU)
    B.S., Nuclear Engineering, Texas A&M University, College Station (TAMU)
    St. John's University, Collegeville (SJU)
    The University of Texas, Austin (UT)

    Awards in Current Roles
    Ukraine Foreign Military Medal, bestowed by the Commander of the Ukraine Armed Forces (2023)
    U.S. Department of Defense Award for Team Cyber & IT Excellence, bestowed by the Chief Information Officer (2019)