Stanford University
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Guido A. Davidzon
Clinical Professor, Radiology - Rad/Nuclear Medicine
BioDr. Guido Alejandro Davidzon is a Clinical Professor of Radiology in Nuclear Medicine at the Stanford University School of Medicine. He currently serves as Director of Nuclear Cardiology at Stanford Health Care and is the Chair of the Radioactive Drug Research Committee.
Dr. Davidzon is a physician-scientist, educator, and leader whose work bridges clinical innovation, academic leadership, and translational research. His research focuses on the development and clinical translation of novel radiopharmaceuticals for use in oncology, neurodegeneration, cardiology, and pain imaging. He is also actively integrating AI-driven analytics and machine learning tools into molecular imaging to advance precision diagnostics and therapeutic decision-making.
His clinical and academic efforts include advancing theranostics, PET-based biomarker discovery, and the adoption of emerging imaging technologies in patient care. Dr. Davidzon is deeply committed to mentorship and the training of the next generation of imaging specialists and nuclear medicine professionals. -
Todd Davies
Acad Research & Pgrm Officer, and Lecturer, Symbolic Systems Program
Current Role at StanfordAssociate Director, Symbolic Systems Program
Lecturer, Symbolic Systems Program
Faculty Affiliate, Wu Tsai Neurosciences Institute -
Beverly Davis
Administrative Associate, Electrical Engineering
Current Role at StanfordFaculty Administrative Assistant for Professors
Daniel Congreve, Eric Pop, Nick McKeown and the Shenoy Lab -
Caden Davis
Masters Student in Electrical Engineering, admitted Autumn 2025
Current Research and Scholarly InterestsPreviously, I developed a platform for joint communications and sensing (JCAS) with mmWave beamforming systems as part of the UCLA Wireless Lab under Professor Ian Roberts. Then, as a DSP engineer intern at Anduril, I worked to enhance detectors for frequency-hopping OFDM and chirp-spread-spectrum signals. From these experiences, I found a strong interest in optimization methods and statistical inference techniques for signal processing systems, mainly wireless communications and radar.
