School of Medicine

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  • Alexander Wilson

    Alexander Wilson

    Postdoctoral Scholar, Radiological Sciences Laboratory

    BioDr Wilson completed a Bachelor of Science in Biomedical Science (University of Auckland, New Zealand, 2007), and a Postgraduate Diploma in Medical Sciences (UoA, 2008).

    He then changed his focus to engineering and applied mathematics, and completed a Masters of Operations Research (UoA, Faculty of Engineering, 2011). In his Master's thesis, he developed a mixed-integer linear formulation for determining optimal electricity distribution tariffs under a range of power generation conditions.

    Dr Wilson then switched back his focused to the Medical Sciences and completed a PhD in Bioengineering with a joint appointment in the Department of Physiology and the Auckland Bioengineering Institute. His Doctoral thesis (2018) focused on the physiology and biomechanics of cardiac remodeling underpinning heart failure.

    During his first Postdoctoral position (University of South Florida Heart Institute, 2018-2019), Dr Wilson developed nanoparticle therapies for myocardial ischemia-reperfusion injury, as well as anti-thrombin nanoparticles to reduce thrombus formation while limiting bleeding risk.

    Dr Wilson is currently a member of the Cardiac MRI Research Group at Stanford University (PI: Professor Daniel Ennis), and works on a range of projects including (i) using tissue clearing techniques to understand the fundamental branching structure of the myocardium (ii) developing new diffusion tensor MRI reconstruction techniques for extracting cardiac microstructure and pathology (iii) using MRI and histology to understand the myocardial structural and functional improvements brought about by ACE inhibitor treatment.

    2022 WORK
    ● Wilson et al "Myocardial Mesostructure and Mesofunction" [2022 AJP-H&C]
    ● Wilson et al "Restored Torsion and Longitudinal Strain in ACE Inhibitor Treated Hypertension" [2022 ISMRM]
    ● Wilson et al "Assessment of Microstructural Remodeling in Myocardial InfarctionUsing Advanced Diffusion Metrics" [2022 SCMR]

    2021 WORK
    ● Wilson et al "Graph-based Analysis Of Cardiomyocyte Network Connectivity" [2021 AHA:SS]
    ● Wilson et al "Collagen Remodeling Of Spontaneously Hypertensive Rats Undergoing Quinapril Treatment Measured By Three Dimensional Shape Analysis" [2021 BCVS]
    ● Wilson et al "Analysis of Location-Dependent Cardiomyocyte Branching" [2021 FIMH]
    ● Wilson et al "Microstructure-Based Simulation of Myocardial Diffusion Using Extended Volume Confocal Microscopy" [2021 ISMRM]
    ● Wilson et al "ACE Inhibitor Treatment Normalizes Apparent Diffusion Coefficient in Spontaneously Hypertensive Rats" [2021 SCMR]

    2020 WORK
    ● Wilson et al "Relationship Between Myocyte Branching and Location Within Myocardial Sheetlet" [2020 AHA:SS]
    ● Wilson et al "Comparison of MRI-Derived Left Ventricular End-Diastolic Pressure-Volume Relationship with Ex Vivo Measurements" [2020 VPH]
    ● Wilson et al "Myocardial Laminar Organization Is Retained in Angiotensin-Converting Enzyme Inhibitor Treated SHRs" [2020 Exp Mech]
    ● Wilson et al "Formulation and Characterization of Antithrombin Perfluorocarbon Nanoparticles" [2020 Methods]

  • Zhen Xiao

    Zhen Xiao

    Postdoctoral Scholar, Molecular Imaging Program at Stanford

    Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment

  • Zijian Yang

    Zijian Yang

    Postdoctoral Scholar, Radiology

    BioI have long term interest in combining advanced science and technology to provide next generation healthcare system.

    To reach that goal, I have developed machine learning based diagnosis model on the software end, which is combined with my hardware end work including wearable/flexible electronics and microelectronic/microfludic platforms.

  • Alaa Talaat Youssef

    Alaa Talaat Youssef

    Postdoctoral Scholar, Radiology

    BioDr.Youssef is a postdoctoral fellow at the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), in the Department of Radiology. She received her Doctor of Philosophy (PhD) degree in Population Health and Medical Education from the Institute of Medical Science, University of Toronto in 2021, Canada. Her research interests lies at the intersection of artificial intelligence (AI) implementation and clinical evaluation. She works with multi-disciplinary research teams to assess, design, develop, and implement person-centered AI solutions that address a clinical need. Her research addresses the ethical, organizational, and workflow barriers that impede clinical adoption of AI in healthcare. Dr. Youssef co-leads the development of several AI educational programs that centers on building capacity for AI research by training diverse group of learners to facilitate safe and responsible use of AI in healthcare for public good.

  • Moss Zhao

    Moss Zhao

    Postdoctoral Scholar, Radiology

    BioDr. Moss Zhao is a postdoctoral scholar at Stanford’s Center for Advanced Functional Neuroimaging led by Drs. Greg Zaharchuk and Michael Moseley. He develops cutting-edge and clinically viable imaging technologies to improve the diagnosis and treatment of cerebrovascular diseases across the lifespan. His specific areas of expertise include physiological modeling, arterial spin labeling, Bayesian inference, PET/MRI, and artificial intelligence. His scientific contributions could significantly improve the early detection of strokes and dementia as well as enrich the knowledge of brain development in the first two decades of life.

    Dr. Zhao received his DPhil at St Cross College of University of Oxford under the supervision of Prof. Michael Chappell. As an alumni mentor, he supports the career development of students of his alma mater. Since 2016, he has presented his work to more than 3000 delegates at international conferences and held leadership positions in professional societies. His research and teaching are supported by the American Heart Association, the National Institutes of Health, and the European Cooperation in Science and Technology.

  • Zheng Zhong

    Zheng Zhong

    Postdoctoral Scholar, Radiology

    Current Research and Scholarly InterestsMy current research focuses on developing novel MRI imaging techniques to accelerate its acquisition speed, including MR sequence pulse design, novel encoding strategy, and deep learning.