Moshe Safran

U.S. CEO at RSIP Vision
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco Bay Area

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Experience

    • Software Development
    • 1 - 100 Employee
    • U.S. CEO
      • Aug 2019 - Present

      Leading RSIP collaborations with the U.S. medical device industry. Conceiving and developing differentiating AI and computer vision products, for the benefit of patients, clinicians, and the medical device ecosystem.

    • VP R&D
      • Sep 2017 - Aug 2019

      Managed the RSIP computer vision algorithms R&D group. Responsible for planning and execution of new projects, customer communication, providing professional guidance in algorithm development, along with the recruitment, training and management of new employees. Spearheaded a fourfold growth of the RSIP algorithm development group.

    • Algorithm Team Leader & Research Scientist
      • Jul 2011 - Aug 2017

      Invented and implemented novel mathematical models and algorithms addressing challenging medical computer vision problems such as anatomical reconstruction from sparse and noisy data. Led and mentored multidisciplinary teams implementing full featured solution including statistically and physically motivated optimization-based algorithms; building a novel software framework for multidimensional expression graphs and automatic differentiation; GUI and communication with medical devices in a clinical trial; verification, validation, and documentation supporting regulatory submissions.Led multiple RSIP teams simultaneously in multiple locations. Implemented a wide variety of computer vision projects, from research to development to finished product. Ranging from patented 3D reconstruction of heart chambers using parametric modeling, to semiconductor precise measurements, deep learning, microscopy, precise agriculture and more.Safran, Moshe, and Meir Bar-tal. "Model based reconstruction of the heart from sparse samples." U.S. Patent No. 9,576,107. 21 Feb. 2017.Baram, A., Safran, M., Ben-Cohen, A., & Greenspan, H. (2018, September). Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks. In International Workshop on Machine Learning for Medical Image Reconstruction (pp. 138-146). Springer, Cham. Show less

    • Algorithm Developer
      • Jun 2008 - Jun 2011

Education

  • The Hebrew University of Jerusalem
    Computational Neuroscience
    2005 - 2008
  • The Hebrew University of Jerusalem
    B.Sc., Physics
    2001 - 2004

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