Bio

Dr. Moss Zhao is an Instructor at Department of Neurosurgery at Stanford University. 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 enhance the early detection of strokes and dementia as well as enrich the knowledge of human 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.

Honors & Awards

  • Second Century Early Faculty Independence Award, American Heart Association (2023)
  • Postdoctoral Fellowship, American Heart Association (2021)
  • Early Career Fellowship, The European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) (2020)

Boards, Advisory Committees, Professional Organizations

  • FIT & Early Career Blogging Program, American Heart Association (2021 – Present)
  • Member of The Membership, Marketing, and Media Committee, The European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) (2020 – Present)
  • Member of The Early Career Investigators Committee, The European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) (2019 – Present)
  • Member of EU COST Action Glioma MR Imaging 2.0, European Cooperation in Science and Technology (COST) (2019 – Present)

Professional Education

  • Doctor of Philosophy, University of Oxford, Engineering Science (Biomedical Engineering) (2019)
  • Master of Science, The Chinese University of Hong Kong, Biomedical Engineering (2013)
  • Bachelor of Science, Hong Kong Baptist University, Computer Science (2012)